CN115114504A - A data search method and device - Google Patents

Abstract

The data search method disclosed in the embodiment of the present invention includes: in response to a segment input operation in the process of inputting a target search keyword, obtaining a first search keyword segment; sending the first search keyword segment to a server; in response to the target search The input operation of the keyword obtains the target search keyword, and sends the target search keyword to the server; receives and displays the search data sent by the server, the search data is that the server searches the memory of the server and corresponds to the target first predicted search keyword The search data corresponding to the target first predicted search keyword is obtained by the server performing data search based on the first predicted search keyword; the first predicted search keyword is predicted by the server based on the first search keyword segment obtained, and the first predicted search keyword includes the first search keyword segment, which improves the search rate of data search.

Description

A data search method and device

technical field

The present application relates to the field of computer technology, and in particular, to a data search method and device.

Background technique

With the rapid development of computer technology, people can obtain information from all over the world without leaving home. In recent years, people's needs have also changed from "getting information without leaving home" to "getting information quickly without leaving home". However, in the traditional data search method, the client sends the target search keyword to the server usually after the user completes the input of the target search keyword and triggers the search button, and the server completes the data search based on the target search keyword. Afterwards, the searched search data can be sent to the client so that the client can display the searched data, resulting in a longer search time period for the searched data. Therefore, how to improve the search rate of data search has become a hot topic of current research.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a data search method and device, which can improve the search rate of data search.

On the one hand, an embodiment of the present invention provides a data search method, including:

In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment;

sending the first search keyword segment to a server;

In response to an input operation of the target search keyword, acquiring the target search keyword, and sending the target search keyword to the server;

Receive and display the search data sent by the server, where the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the target first predicted search The search data corresponding to the keyword is obtained by the server performing data search based on the first predicted search keyword, and the search data corresponding to the target first predicted search keyword and the first predicted search keyword are stored correspondingly in the in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the server's memory; the first predicted search keyword is the server based on The first search keyword segment is predicted, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for before the characters other than the first search keyword segment.

On the one hand, an embodiment of the present invention provides another data search method, including:

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword;

Perform data search according to the first predicted search keyword to obtain search data, and store the search data and the first predicted search keyword in the memory of the server correspondingly;

Receive a target search keyword sent by the client, where the target search keyword is obtained by the client in response to an input operation of the target search keyword, and the target search keyword includes the first search keyword Keyword Fragments;

If there is a target first predicted search keyword that is the same as the target search keyword in the memory of the server, search for the search data corresponding to the target first predicted search keyword from the memory of the server, and Sending the search data corresponding to the target first predicted search keyword to the client.

On the one hand, an embodiment of the present invention provides a data search device, including:

an obtaining unit, configured to obtain a first search keyword fragment in response to a fragment input operation in the process of inputting a target search keyword, wherein the target search keyword includes the first search keyword fragment;

a first sending unit, configured to send the first search keyword segment to a server;

The obtaining unit is further configured to obtain the target search keyword in response to an input operation of the target search keyword, and send the target search keyword to the server;

a first receiving unit, configured to receive and display the search data sent by the server, where the search data is obtained by the server by searching for search data corresponding to the target first predicted search keyword in the memory of the server; The search data corresponding to the target first predicted search keyword is obtained by the server performing a data search based on the first predicted search keyword, and the search data corresponding to the target first predicted search keyword is the same as the first predicted search keyword. The predicted search keyword is correspondingly stored in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the memory of the server; the first predicted search keyword is the same as the target search keyword. The predicted search keyword is predicted by the server based on the first search keyword segment, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first search keyword segment. Predicting the front of characters in the search keyword other than the first search keyword segment.

On the one hand, an embodiment of the present invention provides another data search apparatus, including:

a second receiving unit, configured to receive the first search keyword segment sent by the client;

A processing unit, configured to perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment, and the first search key The word fragment is located in front of the characters other than the first search keyword fragment in the first predicted search keyword;

The processing unit is further configured to perform data search according to the first predicted search keyword, obtain search data, and store the search data and the first predicted search keyword in the memory of the server correspondingly;

The second receiving unit is further configured to receive a target search keyword sent by the client, where the target search keyword is obtained by the client in response to an input operation of the target search keyword, the The target search keyword includes the first search keyword segment;

A second sending unit, configured to search the memory of the server for the target first predicted search key that is the same as the target first predicted search keyword when there is a target first predicted search keyword that is the same as the target search keyword in the memory of the server search data corresponding to the word, and send the search data corresponding to the target first predicted search keyword to the client.

On the one hand, an embodiment of the present invention provides a terminal, including:

a processor, adapted to implement one or more computer programs;

A computer storage medium storing one or more computer programs adapted to be loaded and executed by the processor:

In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment; The segment is sent to the server; in response to the input operation of the target search keyword, the target search keyword is acquired, and the target search keyword is sent to the server; the search sent by the server is received and displayed data, the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the search data corresponding to the target first predicted search keyword is the server The search data corresponding to the target first predicted search keyword and the first predicted search keyword are correspondingly stored in the memory of the server, obtained by performing data search based on the first predicted search keyword; A predicted search keyword is the first predicted search keyword in the memory of the server that is the same as the target search keyword; the first predicted search keyword is predicted by the server based on the first search keyword segment, And the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for the first search keyword segment. Front.

On the one hand, an embodiment of the present invention provides a server, including:

a processor, adapted to implement one or more computer programs;

A computer storage medium storing one or more computer programs adapted to be loaded and executed by the processor:

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; data search is performed according to the first predicted search keyword, and a search result is obtained. data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; receive the target search keyword sent by the client, and the target search keyword is the client Obtained in response to the input operation of the target search keyword, the target search keyword includes the first search keyword segment; if there is a target first search keyword that is the same as the target search keyword in the memory of the server Once a predicted search keyword is found, the search data corresponding to the target first predicted search keyword is searched from the memory of the server, and the search data corresponding to the target first predicted search keyword is sent to the client.

In one aspect, an embodiment of the present invention provides a computer storage medium, where the computer storage medium stores one or more computer programs, and the one or more computer programs are adapted to be loaded and executed by the processor of the terminal:

In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment; The segment is sent to the server; in response to the input operation of the target search keyword, the target search keyword is acquired, and the target search keyword is sent to the server; the search sent by the server is received and displayed data, the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the search data corresponding to the target first predicted search keyword is the server The search data corresponding to the target first predicted search keyword and the first predicted search keyword are correspondingly stored in the memory of the server, obtained by performing data search based on the first predicted search keyword; A predicted search keyword is the first predicted search keyword in the memory of the server that is the same as the target search keyword; the first predicted search keyword is predicted by the server based on the first search keyword segment, And the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for the first search keyword segment. Front.

In one aspect, an embodiment of the present invention provides yet another computer storage medium, where the computer storage medium stores one or more computer programs, and the one or more computer programs are adapted to be loaded and executed by the processor of the server :

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; data search is performed according to the first predicted search keyword, and a search result is obtained. data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; receive the target search keyword sent by the client, and the target search keyword is the client Obtained in response to the input operation of the target search keyword, the target search keyword includes the first search keyword segment; if there is a target first search keyword that is the same as the target search keyword in the memory of the server Once a predicted search keyword is found, the search data corresponding to the target first predicted search keyword is searched from the memory of the server, and the search data corresponding to the target first predicted search keyword is sent to the client.

On the one hand, an embodiment of the present invention provides a computer program product or a computer program, the computer program product includes a computer program, the computer program is stored in a computer storage medium, and a processor of a client reads the computer program from the computer storage medium , the processor executes the computer program, causing the terminal to execute:

In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment; The segment is sent to the server; in response to the input operation of the target search keyword, the target search keyword is acquired, and the target search keyword is sent to the server; the search sent by the server is received and displayed data, the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the search data corresponding to the target first predicted search keyword is the server The search data corresponding to the target first predicted search keyword and the first predicted search keyword are correspondingly stored in the memory of the server, obtained by performing data search based on the first predicted search keyword; A predicted search keyword is the first predicted search keyword in the memory of the server that is the same as the target search keyword; the first predicted search keyword is predicted by the server based on the first search keyword segment, And the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for the first search keyword segment. Front.

On the one hand, an embodiment of the present invention provides another computer program product or computer program, the computer program product includes a computer program, and the computer program is stored in a computer storage medium, and the processor of the client reads the computer from the computer storage medium. A program, the processor executing the computer program, causes the server to execute:

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; data search is performed according to the first predicted search keyword, and a search result is obtained. data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; receive the target search keyword sent by the client, and the target search keyword is the client Obtained in response to the input operation of the target search keyword, the target search keyword includes the first search keyword segment; if there is a target first search keyword that is the same as the target search keyword in the memory of the server Once a predicted search keyword is found, the search data corresponding to the target first predicted search keyword is searched from the memory of the server, and the search data corresponding to the target first predicted search keyword is sent to the client.

The embodiment of the present invention obtains the first predicted search keyword by acquiring the first search keyword segment generated by the user in the process of inputting the target search keyword, and performing keyword prediction based on the first search keyword segment; and then based on the first search keyword segment Perform data search on the predicted keywords, obtain corresponding search data, and store the search data in the memory of the server, so that after the user inputs the same target search keywords as the first predicted search keywords and triggers the data search operation , the server can directly obtain the search data from the memory and send it to the client where the user is located, which greatly saves the time for the server to respond to the data search, thereby improving the search rate of the data search.

Description of drawings

In order to explain the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention, which are of great significance to the art For those of ordinary skill, other drawings can also be obtained from these drawings without any creative effort.

1a is a schematic diagram of a data search scenario provided by an embodiment of the present invention;

Fig. 1b is a schematic diagram of a data search system provided by an embodiment of the present invention;

1c is a schematic diagram of a data sharing system provided by an embodiment of the present invention;

Fig. 1d is a schematic diagram of the architecture of a blockchain provided by an embodiment of the present invention;

1e is a schematic flowchart of a blockchain generation provided by an embodiment of the present invention;

2 is a schematic flowchart of a data search method provided by an embodiment of the present invention;

3 is a schematic flowchart of a keyword prediction provided by an embodiment of the present invention;

4 is a schematic flowchart of another data search method provided by an embodiment of the present invention;

5 is a schematic flowchart of another data search method provided by an embodiment of the present invention;

6 is a schematic structural diagram of a data search apparatus provided by an embodiment of the present invention;

7 is a schematic structural diagram of another data search apparatus provided by an embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a terminal provided by an embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a server provided by an embodiment of the present invention.

Detailed ways

An embodiment of the present invention provides a data search method, which obtains the predicted keywords by predicting the keywords that the user may finally input during the process that the user inputs the target search keywords without triggering the search operation, and obtains the predicted keywords based on the prediction. The keyword is searched to obtain the search data corresponding to the predicted keyword. After the search data is obtained, the search data and the predicted keyword are stored in the memory of the server. If the target search keyword is the same as the predicted keyword, the search data corresponding to the predicted keyword is directly searched and obtained from the memory of the server. , effectively reducing the time to respond to data searches.

Among them, in the process that the user enters the target search keyword and the user does not trigger the search operation, the search keyword in the search box can be regarded as a "search keyword segment". For example, suppose the user enters the target search keyword "movie" A-final chapter" needs to be completed twice, for example, input "movie A" for the first time, and input "-final chapter" for the second time, so as to complete the input of the target search keyword "movie A-final chapter". Then, when the user completes the first input, the search keyword segment "movie A" can be obtained, and when the user completes the second input, the search keyword segment "movie A-final chapter" can be obtained. Therefore, it is not difficult to understand that both the predicted keyword and the target search keyword include search keyword segments.

In one embodiment, the data search method provided by the embodiment of the present invention can be applied to various data search scenarios, especially to personalized search scenarios. For example, the search data needs to include user personal behavior, friend interaction data or user Scenarios for address-related information. For example, the method provided by the embodiment of the present invention can perform data query in combination with the client identifier corresponding to the client that initiates the data query request when performing the data query operation, so as to obtain search data related to the user portrait corresponding to the client. . Illustratively, as shown in Figure 1a, in the personalized search scenario of WeChat Souyisou, before the user clicks the "Search" button, and in the process of entering "XX Movie" in the search box, the method can be based on The keyword prediction and the acquisition of the search data corresponding to the predicted keywords are carried out in terms of "XX Movie" and the user portrait of the client corresponding to the user. Specifically, when performing a data search, the method searches not only the information of the "XX movie", but also the interaction information related to the user (the "friend interaction" information in Fig. information related to interactions under the topic “Movies”). Based on this, it can be understood that when the user clicks the "Search" button, the obtained search data includes not only the movie information corresponding to "XX Movie", but also the data associated with the user portrait of the client that initiated the query request, such as: Fig. Data related to "friend interactions" in 1a.

The above data search method can be applied to the data search system shown in FIG. 1 b . As shown in FIG. 1 b , the data search system includes at least one client 10 and server 11 . The client 10 may run in the terminal, and the terminal running the client 10 and the server may be directly or indirectly connected through wired or wireless communication, which is not limited in the present invention. The terminal includes but is not limited to smart phones, smart speakers, tablet computers, etc. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud service provided , cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, Content Delivery Network (CDN), and basic cloud such as big data and artificial intelligence platform Cloud servers for computing services. The terminal may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto.

In one embodiment, an embodiment of the present invention further provides a data sharing system, as shown in FIG. 1c. The data sharing system refers to a system for sharing data between nodes, the data sharing system may include a plurality of nodes 12, and the plurality of nodes 12 may refer to each client in the data sharing system (such as the above-mentioned client 10). ). Each node 12 may receive input information during normal operation, and maintain shared data within the data sharing system based on the received input information. In order to ensure the information exchange in the data sharing system, there may be an information connection between each node in the data sharing system, and information transmission may be performed between the nodes through the above information connection. For example, when any node in the data sharing system receives input information, other nodes in the data sharing system obtain the input information according to the consensus algorithm, and store the input information as data in the shared data, so that the data sharing system can The data stored on all nodes is consistent. For each node in the data sharing system, there is a corresponding node identifier, and each node in the data sharing system can store the node identifiers of other nodes in the data sharing system, so that according to the node identifiers of other nodes, Broadcast the generated blocks to other nodes in the data sharing system. Each node can maintain a node ID list as shown in the following table, and store the node name and node ID in the node ID list correspondingly. The node identifier may be an IP (Internet Protocol, protocol for interconnection between networks) address and any other information that can be used to identify the node. Table 1 only takes the IP address as an example for description.

Table 1

node name Node ID Node 1 117.114.151.XXX Node 2 117.116.189.XXX … … Node N XX.XX.XX.XX

Every node in the data sharing system stores an identical blockchain. The blockchain consists of multiple blocks, as shown in Figure 1d. The blockchain consists of multiple blocks. The founding block includes the block header and the block body. The block header stores the input information feature value, version number, time stamp and difficulty value, the input information is stored in the block body; the next block of the genesis block takes the genesis block as the parent block, the next block also includes the block header and the block body, and the block header stores the current area The input information feature value of the block, the block header feature value of the parent block, the version number, the timestamp and the difficulty value, and so on, so that the block data stored in each block in the blockchain is the same as the parent block. There is an association between the block data stored in the block, which ensures the security of the input information in the block.

When generating each block in the blockchain, see Figure 1e. When the node where the blockchain is located receives the input information, it verifies the input information. After the verification is completed, the input information is stored in the memory pool. And update its hash tree used to record the input information; after that, update the update timestamp to the time when the input information was received, and try different random numbers, and perform the eigenvalue calculation multiple times, so that the calculated eigenvalue can satisfy the The following formula:

SHA256(SHA256(version+prev_hash+merkle_root+ntime+nbits+x))<TARGET

Among them, SHA256 is the eigenvalue algorithm used to calculate the eigenvalue; version (version number) is the version information of the relevant block protocol in the blockchain; prev_hash is the block header eigenvalue of the parent block of the current block; merkle_root is the input information The characteristic value of ; ntime is the update time of the update timestamp; nbits is the current difficulty, which is a fixed value within a period of time, and is determined again after a fixed period of time; x is a random number; TARGET is the characteristic value threshold, the characteristic value of The value threshold can be determined according to nbits. Based on this, when the random number satisfying the above formula is obtained by calculation, the information can be stored correspondingly, the block header and the block body can be generated, and the current block can be obtained. Subsequently, the node where the blockchain is located sends the newly generated block to other nodes in the data sharing system where it is located according to the node identifiers of other nodes in the data sharing system, and the newly generated block is verified by other nodes. , and add the newly generated block to its stored blockchain after verification is complete.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of a data search method provided by an embodiment of the present invention. The method can be applied to a client. As shown in FIG. 2, the method includes:

S201, in response to a segment input operation in the process of inputting the target search keyword, obtain a first search keyword segment.

In one embodiment, the target search keyword is input through at least two segment input operations, and the target search keyword includes a first search keyword segment. In a specific embodiment, the segment input operation can be understood as an operation of the user inputting a keyword in the search box before the data search operation is triggered. For example: the user uses the pinyin input method and wants to input "movie A" for data search, then the user inputs the pinyin "dian ying" and selects the Chinese character "movie", so that the word "movie" appears in the input box. This operation can be called is "segment input operation", and "movie" is the first search keyword segment.

S202: Send the first search keyword segment to the server.

In one embodiment, after the client sends the first search keyword segment to the server, the server may perform prediction based on the first search keyword segment to obtain the first predicted search keyword, and then the server may search for the keyword according to the first prediction Perform data search to obtain search data, and store the search data and the first predicted search keyword in the memory of the server correspondingly. The first predicted search keyword includes a first search keyword segment, and the first search keyword segment is located in front of characters other than the first search keyword segment in the first predicted search keyword. Illustratively, as shown in FIG. 3 , it is assumed that the user wants to input "XY movie 3" to perform a data search operation, and the first search keyword segment is "XY movie". Then, in the first predicted search keyword predicted by the server according to the first search keyword segment, "XY movie" must be at the front of the entire keyword. For example, the first predicted keyword can be: XY movie 1, XY movie 2, XY Movie 3, etc. It can be seen that the first search keyword segment "XY movie" always precedes characters other than "XY movie" in the first predicted keyword.

In yet another embodiment, the number of first predicted keywords is at least one, and after the server obtains at least one first predicted search keyword, it may perform data search according to each first predicted search keyword, and search for The obtained data and its corresponding first predicted search keyword are stored. Exemplarily, if the server obtains two first predicted keywords for the first search keyword segment "XY movie", which are "XY movie 1" and "XY movie 2", then the server will Movie 1" performs data search to obtain data A related to "XY Movie 1", and stores the data A and "XY Movie 1" in the corresponding memory of the server; XY movie 2" performs data search to obtain data B related to "XY movie 2", and stores the data B and "XY movie 2" in the memory of the server.

S203, in response to the input operation of the target search keyword, obtain the target search keyword, and send the target search keyword to the server.

In one embodiment, after the client sends the target search keyword to the server, the server may search the memory for the target first prediction search keyword that is the same as the target search keyword when it is determined that the target first predicted search keyword exists in the memory Search data corresponding to the search keyword. The "input operation of target keyword" can be understood as: the user completes the input of the required keyword in the input box and triggers the operation of data search. For example, if the user uses the Pinyin input method and wants to input "movie A-final chapter" for data search, and the keyword segment "movie A-" already exists in the input box, the user can continue to input the pinyin "zuizhong". zhang" and select the Chinese character "final chapter", so that after "movie A-final chapter" appears in the input box, the user clicks the "search" button to trigger the data search operation, which can be called "target keyword input operation", and "Movie A-Final Chapter" is the target search keyword.

In one embodiment, after determining that the target first predicted search keyword that is the same as the target search keyword exists in the memory, the server searches the memory for search data corresponding to the target first predicted search keyword, which can be understood as: the server After it is determined that the search keyword in the memory is the same as the target search keyword, the cached data corresponding to the search keyword is retrieved from the memory. Exemplarily, it is assumed that the server has performed a data search based on "XY Movie 1", obtains data A related to "XY Movie 1", and stores the data A and "XY Movie 1" in the corresponding memory of the server. , then, when the target search keyword is "XY Movie 1", the server can directly retrieve "Data A" from the memory, instead of obtaining "Data A" by performing data search on the server.

S204, receiving and displaying the search data sent by the server.

After the server obtains the search data, the server sends the search data to the client, so that the client can display the search data.

The data search method provided by the embodiment of the present invention can obtain the first predicted search key by obtaining the first search keyword segment generated by the user in the process of inputting the target search keyword, and performing keyword prediction based on the first search keyword segment. Then perform data search based on the first predicted keyword to obtain corresponding search data, and store the search data in the memory of the server, so that when the user inputs the same target search keyword as the first predicted search keyword, After triggering the data search operation, the server can directly obtain the search data from the memory and send it to the client where the user is located, which greatly saves the time for the server to respond to the data search, thereby improving the search rate of the data search.

Please refer to FIG. 4. FIG. 4 is a schematic flowchart of another data search method provided by an embodiment of the present invention. As shown in Figure 4, the method includes:

S401, the client obtains a first search keyword segment in response to a segment input operation in the process of inputting the target search keyword.

In one embodiment, for a specific embodiment in step S401, reference may be made to the description in step S201, and details are not repeated here.

S402, the client sends the first search keyword segment to the server.

The client sends the first search keyword segment to the server.

S403, the server receives the first search keyword segment, and performs prediction based on the first search keyword segment to obtain a first predicted search keyword.

In one embodiment, after receiving the first search keyword segment, the server may obtain the user portrait of the client when the predicted search keyword is obtained by performing prediction based on the first search keyword segment. Then, the server performs prediction based on the first search keyword segment to obtain a first predicted search keyword matching the user portrait. Specifically, the server can obtain the user's search habits or search preferences, etc., and perform personalized search keyword prediction for the user of the client, so as to obtain the first predicted search keyword that is more closely related to the user of the client, and then obtain a more accurate search keyword. Diverse search data.

In one embodiment, when the user inputs the target search keyword, it is generally input multiple times and in sequence. For example, when the user inputs the words "XY Movie 1", he may first input "XY" and then "Movie 1" to form the final "XY Movie 1". Then, the server may establish a keyword index before performing prediction based on the first search keyword segment, where the keyword index is used to instruct the server to obtain the first predicted search keyword based on the first search keyword segment index. Exemplarily, the server may use a Trie tree (dictionary tree) for prefix indexing. Specifically, after receiving the first search keyword segment obtained by the client in response to the first segment input, the server may perform the first search keyword segment in real time. The keyword segments are prefix-matched in the Trie tree to obtain a first predicted search keyword prefixed with the first search keyword segment. Among them, the Trie tree, also known as the prefix tree, is an ordered tree. The descendant nodes of each node in the tree have the same prefix. The characters that pass through the path from the root node to a node are connected, that is, the node. the corresponding string.

For example, as shown in FIG. 3 , the way that the server performs prefix prediction on the first search keyword segment "XY movie" through the Trie tree is: the server searches the Trie tree with the words "X→Y→movie→movie" This sequence is the beginning of the path, where X is the root node, and can be regarded as the prefix of Y (Y is the descendant node of X). Similarly, "Y" can be regarded as the prefix of "electricity" ("electrical" "is the descendant node of Y), ..., and so on, the path "X→Y→movie→movie" can be extended through "shadow", and finally a path from the root node "X" to a certain The path of the descendant node, and then connect all characters on the path to complete the prefix prediction of the first search keyword segment "XY movie", and obtain the first predicted search keyword including "XY movie" (such as " XY Movie 1"). For example, for the path from the root node "X" to the descendant node "2" in Fig. 3, the server can obtain "XY movie 2" by connecting all characters on the path.

In another embodiment, the server may also use a hash index or an inverted index to predict and obtain the first predicted search keyword based on the first search keyword segment, which is not limited in this embodiment of the present invention. Wherein, if the server implements the prediction of the first predicted search keyword by means of a hash index, the server needs to generate a hash function based on the first search keyword segment. The hash function can map the key (which can be understood as: the first search keyword segment) to the slot (bucket, which is used to store data in the hash table) where the data (which can be understood as: the first predicted search keyword) should be stored. unit) location. Then it can be understood that the server can match the first search keyword segment to the corresponding slot including the first search keyword segment through the hash function, and then the server obtains the corresponding first predicted search keyword according to the slot. If the server implements the prediction of the first predicted search keyword by means of an inverted index, the server will search the index for keywords including the first search keyword fragment according to the first search keyword fragment, so as to obtain the first predicted search keyword Key words.

S404, the server performs data search according to the first predicted search keyword, obtains search data, and stores the search data and the first predicted search keyword in the memory of the server correspondingly.

In one embodiment, the number of the first predicted search keywords is at least two. Then, before the server performs data search according to the first predicted search keywords and obtains the search data, the server may also obtain the ratio of the length of each first predicted search keyword to the first search keyword segment, and then the at least two first predicted From the search keywords, a first predicted search keyword whose length ratio is greater than the ratio threshold is determined, and then data search is performed based on the first predicted search keyword whose length is greater than the ratio threshold. Exemplarily, the ratio threshold may be 2, that is, when the length of the first predicted search keyword is 2 times or more than the length of the first search keyword segment, the server will perform data analysis based on the first predicted search keyword. search.

因此服务器将忽略“好看的花”这一预测搜索关键词(即，不基于“好看的花”进行数据搜索)；由于第一预测搜索关键词“好看的电视剧”的字符长度为6，它与“好看的”字符长度的长度比值为2(6/3＝0.75)，因此服务器将基于“好看的电视剧”这一预测搜索关键词进行数据搜索。不难理解的是，此方式可减少第一预测搜索关键词的数量，进而可减少数据搜索过程中不必要的数据搜索开销和数据存储空间开销。For example, assuming that the ratio threshold is 2, and the first search keyword segment is "beautiful", the first predicted search keywords include "beautiful flowers" and "beautiful TV series", then, since the first search keyword The character length of the fragment "beautiful" is 3, and the first predicted search keyword "beautiful flower" has a character length of 4. Then, their length ratio is

Therefore, the server will ignore the predicted search keyword "beautiful flower" (that is, the data search will not be performed based on "beautiful flower"); since the character length of the first predicted search keyword "beautiful TV series" is 6, it is the same as The length ratio of the character length of "good-looking" is 2 (6/3=0.75), so the server will perform data search based on the predicted search keyword "good-looking TV series". It is not difficult to understand that this method can reduce the number of first predicted search keywords, thereby reducing unnecessary data search overhead and data storage space overhead in the data search process.

In yet another embodiment, as can be seen from the foregoing, the server can predict and obtain the first predicted search keyword based on the user portrait of the client and the first search keyword segment. Based on this, the server can perform a data search based on the first predicted search keyword, obtain search data matching the user portrait of the client, and then combine the client identification of the client, the first predicted search keyword, and the search data matching the user portrait. The data is correspondingly stored in the memory of the server.

S405, the client obtains the target search keyword in response to the input operation of the target search keyword, and sends the target search keyword to the server.

In one embodiment, as can be seen from the foregoing, the target search keyword is implemented through at least two segment input operations, and the target search keyword includes a first search keyword segment, and the server can predict the first search keyword segment according to the first search keyword segment. Get the first predicted search keyword. Then it can be understood that when there is only one first predicted search keyword, the first predicted search keyword may be the target search keyword; when there are at least two first predicted search keywords, the at least two first predicted search keywords may be the target search keyword. The search keywords may include the target search keywords.

S406 , if there is a target first predicted search keyword that is the same as the target search keyword in the memory of the server, the server searches the memory of the server for search data corresponding to the target first predicted search keyword.

In one embodiment, after receiving the target search keyword, the server will search the memory for the first predicted search keyword that is the same as the target search keyword (ie: search for the target first predicted search keyword). If there is a target first predicted search keyword that is the same as the target search keyword, search for the search data corresponding to the target first predicted search keyword in the memory of the server; if there is no target same as the target search keyword in the memory For the first predicted search keyword, the server performs data search based on the target search keyword to obtain search data corresponding to the target search keyword. Optionally, after the server performs data search based on the target search keyword and obtains search data corresponding to the target search keyword, the server may also store the search data corresponding to the target search keyword in the memory of the server.

In yet another embodiment, if the search data stored in the memory is obtained by searching based on the client identifier and the first predicted search keyword, the server may predict the search keyword according to the client identifier and target of the client, and retrieve the search keyword from the server's identifier. Search the memory for search data corresponding to the target predicted search keyword and the client identifier. Specifically, the server may look up the cache with the client identifier and the target search keyword as the key. Among them, "cache" can be understood as a device for temporary data storage, which can be used to speed up data access, and the cache can be a memory or other special storage device.

S407, the server sends search data corresponding to the target first predicted search keyword to the client.

After the server obtains the search data corresponding to the target search keyword, it will send the search data to the client.

S408, the client receives and displays the search data.

The data search method provided by the embodiment of the present invention can obtain the first search keyword segment generated by the user in the process of inputting the target search keyword, so that the server can perform keyword prediction based on the first search keyword segment, and obtain the first prediction Search keywords; then the server performs data search based on the first predicted keywords, obtains corresponding search data, and stores the search data in the memory of the server, so that the server realizes that when the user inputs the same search keywords as the first predicted search keywords After the target searches for keywords and triggers the data search operation, the server can directly obtain the search data from the memory and send it to the client where the user is located, saving the time for the server to respond to the data search. The method provided by the embodiment of the present invention also performs personalized search keyword prediction based on the user portrait of the client, so as to ensure as much as possible that the user can obtain the search data through the memory after inputting the target search keyword, thereby improving the storage hit rate. This saves the time for the server to respond to data search, and plays an important role in data search scenarios with strict time-consuming requirements.

Please refer to FIG. 5. FIG. 5 is a schematic flowchart of another data search method provided by an embodiment of the present invention. As shown in Figure 5, the method includes:

S501, the client acquires a first search keyword segment in response to the Nth segment input operation in the process of inputting the target search keyword.

In one embodiment, as can be seen from the foregoing embodiments, when the user inputs the target search keyword, the input is generally performed in multiple times and in sequence. Then, when inputting the target search keyword requires the user to perform M input operations (M>N, and M is a positive integer and N is a positive integer), the first search keyword segment may be the client's response to the Nth segment input. obtained by the operation.

S502, the client sends the first search keyword segment to the server.

S503: The server receives the first predicted search keyword segment, and performs prediction based on the first predicted search keyword segment to obtain the first predicted search keyword.

In one embodiment, for specific embodiments of steps S502 to S503, reference may be made to the descriptions of steps S402 to S403, and details are not repeated here.

S504, the server performs a data search according to the first predicted search keyword, obtains search data, and stores the search data and the first predicted search keyword in the memory of the server correspondingly.

In one embodiment, the number of the first predicted search keyword is at least one, and when the server performs data search according to the first predicted search keyword, the server may also add the first predicted search keyword that is being searched for data to the keyword The search list is made so that the predicted search keywords in the data search state among the first predicted search keywords are included in the keyword search list. It can be understood that, if the predicted search keyword A in the keyword search list completes the data search (ie, the data search state ends), then the server will remove the predicted search keyword A from the keyword search list. For example, suppose there is the first predicted search keyword 1 - good-looking, the first predicted search keyword 2 - good movies, and the first predicted search keyword 3 - good TV series, and a data search is being performed The first predicted search keywords are "good-looking" and "good-looking TV series." Then, it can be understood that there are two predicted search keywords "good-looking" and "good-looking TV series" in the keyword search list at this time. If the search keyword "good-looking" completes the data search, the server will remove the predicted search keyword "good-looking" from the search keyword list. The search keywords will only have the first predicted search keyword 3 (ie: a good TV series).

In yet another embodiment, the server may also generate a storage validity period of the search data after performing a data search based on the first predicted search keyword to obtain the search data, where the storage validity period is used to limit the validity period of the search data, beyond the The search data of the valid time will no longer be acquired, or the search data exceeding the valid time and the corresponding first predicted search keyword will be removed from the memory. For example, assuming that the search data corresponding to the first predicted search keyword "keyword A" is "data A", if the storage validity period of data A has expired (that is, data A has expired), then when the user needs to obtain When the search data of "keyword A" is not obtained from the memory, data search is performed based on "keyword A" again to obtain search data corresponding to "keyword A". Exemplarily, the storage validity period can be in the form of an effective expiration date, that is, the server determines whether the search data is invalid by comparing the effective expiration date with the current date; the storage validity period can also be in the form of an effective duration, that is: the memory is regularly valid for The duration is shortened, and the server determines whether the search data is invalid by judging whether the valid duration is 0. For example: when the preset storage validity period is 10 days, if data A is stored in the memory on the Nth day, the storage validity period corresponding to the data A on the Nth day is 10, and the storage validity period becomes 9 on the N+1th day. .

S505 , the client acquires a second search keyword segment in response to the N+1 th segment input operation in the process of inputting the target search keyword.

In one embodiment, in the process of the user inputting the target search keyword, the client terminal may also obtain a second search keyword segment, where the second search keyword segment is obtained by the client in response to the N+1th segment input operation arrived. Wherein, N is a positive integer, the second search keyword segment includes the first search keyword segment, and the first search keyword segment is located in front of characters other than the first search keyword segment in the second search keyword segment. For example: in the process of inputting the target search keyword "good-looking TV series", if the user first enters the Chinese character "good-looking", then the Chinese character "TV", and finally the Chinese character "drama" to complete the "good-looking movie" Entering this target search keyword, the first search keyword segment is "good-looking", and the second search keyword segment is "good-looking TV" ("good-looking TV" includes "good-looking", and "good-looking TV" includes "good-looking" and "good-looking TV". The words "beautiful" are placed in front of "TV"). Then it can be understood that, in the specific embodiment, if the user deletes the keyword already in the search box during the process of inputting the target search keyword, the keyword after the deleted word is still the first search keyword Fragment. For example: for the first time, the user entered the keyword "good-looking TV" in the search box as the first search keyword segment, and then the user found that the input was wrong, so he deleted the word "TV", then, now in the search The keyword "good-looking" in the box is still the first search keyword segment, not the second search keyword segment, because the "good-looking" search keyword segment does not include the "good-looking TV" segment. Search for keyword snippets.

S506, the client sends the second search keyword segment to the server.

S507: The server performs prediction based on the second search keyword segment to obtain the second predicted search keyword. If there is search data corresponding to the second predicted keyword in the server's memory, the data search based on the second predicted search keyword is stopped.

In one embodiment, after receiving the second search keyword segment sent by the client, the server may perform prediction based on the second search keyword segment, obtain a second predicted search keyword, and analyze the second predicted search keyword After filtering, the server will perform data search based on the filtered second predicted search keywords. In a specific embodiment, if there is search data corresponding to the second predicted search keyword in the server's memory, the data search based on the second predicted search keyword is stopped; if there is no data corresponding to the second predicted search keyword in the server's memory To search data, the server performs data search according to the second predicted search keyword. For example, assuming that there is search data A corresponding to the search keyword "good-looking movie" in the server's memory, if the second search keyword segment is "good-looking", and the second predicted search based on the prediction of "good-looking" If the keyword is "good movie", the server will not perform data search based on "good movie", or the server will interrupt the data search based on the keyword "good movie" in time. Data search process.

In yet another embodiment, as can be seen from the foregoing, the search data in the memory may correspond to a storage validity period. Based on this, if there is search data corresponding to the second predicted search keyword in the server's memory, the server can also verify the validity of the storage validity period of the search data corresponding to the second predicted search keyword; if the validity of the search data is valid If the verification fails, the server will perform data search again according to the second predicted search keyword. Optionally, after the server completes the data search based on the second predicted search keyword, the server may also perform the second predicted search keyword, the search data corresponding to the second predicted search keyword, and the storage validity period of the search data. corresponding storage.

In one embodiment, the server may also obtain the above keyword search list first, and then perform data search based on the second predicted search keyword to obtain search data. Specifically, if the search data corresponding to the second predicted search keyword does not exist in the memory of the server, the second predicted search keyword is searched in the keyword list, and if the second predicted search keyword exists in the keyword search list, Then continue to perform data search according to the second predicted search keyword; if there is no search data corresponding to the second predicted search keyword in the server's memory, and the second predicted search keyword does not exist in the keyword search list, then the server The data search is performed according to the second predicted search keyword to obtain search data corresponding to the second predicted search keyword.

For example, it is assumed that only the search data A corresponding to the search keyword "good-looking movie" exists in the memory of the server, and the predicted search keyword "good-looking flower" exists in the keyword search list 1. If the second search keyword segment is "good-looking", and the second predicted search keyword A obtained based on the "good-looking" prediction is "good-looking flowers", the second predicted search keyword B is "good-looking TV series". Then, before the server performs data search based on the second predicted search keyword (that is, "beautiful flower"), it will look for the search data corresponding to "beautiful flower" in the memory, because there is no "beautiful flower" in the memory at this time. The search data corresponding to the "flower", the server will look for the predicted search keyword "beautiful flower" in the keyword search list, and because there is a "beautiful flower" in the keyword search list 1 (ie: based on "beautiful flower" The data search for "good-looking flowers" is in progress), so the server will not perform data search based on "good-looking flowers" again, but waits for the server to complete the data search for "good-looking flowers"; Before performing data search by predicting the search keyword (that is, "good-looking TV series"), it will look for the search data corresponding to "good-looking TV series" in the memory. Since there is no search data corresponding to "good-looking TV series" in the memory, so The server will look for the predicted search keyword "good TV series" in the keyword search list. Since there is no "good TV series" in the keyword search list 1, the server will perform data search based on "good TV series".

S508, the client obtains the target search keyword in response to the input operation of the target search keyword, and sends the target search keyword to the server.

In one embodiment, when the second search keyword segment is obtained by the client in response to the N+1th (N is a positive integer) segment input operation, the target search keyword is obtained through at least N+1 segments The input operation realizes the input, that is, the target search keyword is the second search keyword segment, or the target search keyword is obtained by continuing to input keywords based on the second search keyword segment. For example: if the first search keyword segment is "good-looking" and the second search keyword segment is "good-looking TV", then the target search keyword may be "good-looking TV" (the second search keyword fragment), or On the basis of the second search keyword segment, continue to perform the segment input operation, and obtain "good-looking TV XX" after inputting "XX".

S509: If there is a target second predicted search keyword that is the same as the target search keyword in the memory of the server, the server searches the memory of the server for search data corresponding to the target second predicted search keyword.

For a specific implementation manner of step S509 in this embodiment of the present invention, reference may be made to the description of step S406, and details are not described herein again.

S510, if the target second predicted search keyword that is the same as the target search keyword does not exist in the memory of the server, and the predicted search keyword that is the same as the target search keyword does not exist in the keyword search list, the server searches based on the target search keyword. The keyword performs data search to obtain search data corresponding to the target search keyword.

In one embodiment, when there is no second search keyword that is the same as the target search keyword in the server's memory, the server will obtain a keyword search list, and search the keyword search list for the prediction corresponding to the target search keyword Search keywords. If the target search keyword does not exist in the keyword search list, the server performs data search based on the target search keyword to obtain search data corresponding to the target search keyword.

S511, the server sends search data corresponding to the target search keyword to the client.

S512, the client receives and displays the search data.

In one embodiment, for specific embodiments of steps S511 to S512 in this embodiment of the present invention, reference may be made to the descriptions of steps S407 to S408, and details are not described herein again.

The data search method provided by the embodiment of the present invention not only obtains a search keyword segment (a first search keyword segment or a second search keyword segment) during the process of the user inputting a target search keyword, and searches the target keyword based on the search keyword segment Search keywords for prediction, and then perform data search according to the predicted predicted search keywords and store the search data, so that when the target search keyword input by the user is any of the predicted search keywords, it can be directly searched from the server's memory. The search data corresponding to the target search keyword saves the time for the server to respond to the data search. At the same time, the storage validity period is set for the search data corresponding to the predicted search keyword in the memory, and the search data that exceeds the storage validity period will no longer be stored. , which ensures the timeliness of the search data received by the user.

Based on the description of the above data search method embodiments, the embodiments of the present invention further disclose a data search apparatus, which may be a computer program (including program code) running in the above-mentioned client. The data searching apparatus can execute the method shown in FIG. 2, steps S401, S402, S405 and S408 in the method shown in FIG. Step S505, Step S506, Step S508 and Step S512. Referring to FIG. 6 , the data searching apparatus may include: an obtaining unit 601 , a first sending unit 602 and a first receiving unit 603 .

An obtaining unit 601, configured to obtain a first search keyword fragment in response to a fragment input operation in the process of inputting a target search keyword, wherein the target search keyword includes the first search keyword fragment;

a first sending unit 602, configured to send the first search keyword segment to a server;

The obtaining unit 601 is further configured to, in response to an input operation of the target search keyword, obtain the target search keyword, and send the target search keyword to the server;

The first receiving unit 603 is configured to receive and display the search data sent by the server, where the search data is obtained by the server by searching for the search data corresponding to the target first predicted search keyword in the memory of the server. ; The search data corresponding to the first predicted search keyword of the target is obtained by the server performing data search based on the first predicted search keyword, and the search data corresponding to the first predicted search keyword of the target and the first predicted search keyword are obtained. A predicted search keyword is correspondingly stored in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the memory of the server; the first predicted search keyword is the same as the target search keyword. A predicted search keyword is predicted by the server based on the first search keyword segment, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first search keyword segment. A predicted search keyword is in front of characters other than the first search keyword segment.

According to an embodiment of the present invention, each step involved in the method shown in FIG. 2 , step S401 , step S402 , step S405 and step S408 in the method shown in FIG. The step S501, step S502, step S505, step S506, step S508 and step S512 of the above may be performed by each unit in the data search apparatus shown in FIG. 6 . For example, both steps S201 and S203 shown in FIG. 2 can be performed by the acquiring unit 601 in the data search apparatus shown in FIG. 6 , and step S202 can be performed by the first sending unit 602 in the data search apparatus shown in FIG. 6 . , step S204 can be performed by the first receiving unit 603 in the data search device shown in FIG. 6 ; for another example, both steps S401 and S405 shown in FIG. 4 can be performed by the acquisition unit 601 in the data search device shown in FIG. 6 . to perform, step S402 can be performed by the first sending unit 602 in the data search device shown in FIG. 6 , and step S408 can be performed by the first receiving unit 603 in the data search device shown in FIG. 6 ; The shown step S501, step S505 and step S508 can all be executed by the acquisition unit 601 in the data search device shown in FIG. 6 , and step S502 and step S506 can be executed by the first sending unit in the data search device shown in FIG. 6 . 602, and step S512 can be performed by the first receiving unit 603 in the data searching apparatus shown in FIG. 6 .

According to another embodiment of the present invention, each unit in the data search apparatus shown in FIG. 6 is divided based on logical functions, and each of the above-mentioned units may be respectively or all combined into one or several other units to form, or one of A certain unit(s) may be further divided into multiple units with smaller functions to form, which can realize the same operation without affecting the realization of the technical effect of the embodiments of the present invention. In other embodiments of the present invention, the above data searching apparatus may also include other units, and in practical applications, these functions may also be implemented with the assistance of other units, and may be implemented by cooperation of multiple units.

According to another embodiment of the present invention, it can be run on a general-purpose terminal such as a computer by including processing elements such as a central processing unit (CPU), random access storage medium (RAM), read-only storage medium (ROM), etc. and storage elements Step S401, Step S402, Step S405 and Step S408 in the method shown in FIG. 2 or FIG. 4 can be performed, and Step S501, Step S502, Step S505, Step S506, Step S506 in the method shown in FIG. 5 can be performed. The computer programs (including program codes) involved in each step of the method shown in step S508 and step S512 are used to construct the data search apparatus shown in FIG. 6 and to implement the data search method of the embodiment of the present invention. The computer program can be recorded on, for example, a computer storage medium, loaded into the above-mentioned terminal through the computer storage medium, and executed therein.

The data search device provided by the embodiment of the present invention can obtain and send the first search keyword segment generated by the user in the process of inputting the target search keyword to the server, so that the server can perform keyword prediction based on the first search keyword segment, obtaining a first predicted search keyword; and causing the server to perform a data search based on the first predicted keyword, obtaining corresponding search data, and causing the server to store the search data in the memory of the server. It is realized that after the user enters the same target search keyword as the first predicted search keyword and triggers the data search operation, the server can directly obtain the search data from the memory and send it to the client where the user is located, which greatly saves the server response data. Search time, and then improve the search rate of data search.

Based on the description of the above data search method embodiments, the embodiments of the present invention further disclose another data search apparatus, which may be a computer program (including program code) running in the above-mentioned server. The data searching apparatus can perform steps S403, S404 and S406 and S407 in the method shown in FIG. 4, and can perform steps S503, S504, S507 and S509 to Step S511. Referring to FIG. 7 , the data searching apparatus may include: a second receiving unit 701 , a processing unit 702 , and a second sending unit 703 .

A second receiving unit 701, configured to receive the first search keyword segment sent by the client;

A processing unit 702, configured to perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment, and the first search keyword The keyword fragment is located in front of the characters other than the first search keyword fragment in the first predicted search keyword;

The processing unit 702 is further configured to perform a data search according to the first predicted search keyword to obtain search data, and store the search data and the first predicted search keyword in the memory of the server correspondingly ;

The second receiving unit 701 is further configured to receive a target search keyword sent by the client, where the target search keyword is obtained by the client in response to an input operation of the target search keyword, and The target search keyword includes the first search keyword segment;

The second sending unit 703 is configured to search the memory of the server for the target first predictive search keyword that is the same as the target first predictive search keyword when there is a target first predictive search keyword that is the same as the target search keyword in the memory of the server search data corresponding to the keyword, and send the search data corresponding to the target first predicted search keyword to the client.

In an embodiment, the number of the first predicted search keywords is at least two; before the data search is performed according to the first predicted search keywords to obtain search data, the processing unit 702 is further configured to: implement:

obtaining the length ratio of each of the first predicted search keywords and the first search keyword segments;

determining, among the at least two first predicted search keywords, a first predicted search keyword whose length ratio is greater than a ratio threshold;

When performing data search according to the first predicted search keyword, the processing unit 702 specifically executes:

Data search is performed according to the first predicted search keyword whose length ratio is greater than the ratio threshold.

In yet another embodiment, the first search keyword segment is obtained by the client in response to the Nth segment input operation in the process of inputting the target search keyword, and the target search keyword is If the input is achieved through at least N+1 segment input operations, N is a positive integer; after the processing unit 702 stores the search data and the first predicted search keyword in the memory of the server, the processing unit 702 also uses To execute:

Receive a second search keyword segment sent by the client, wherein the second search keyword segment is obtained by the client in response to the N+1th segment input operation, and the second search keyword The fragment includes the first search keyword fragment, and the first search keyword fragment is located in front of characters other than the first search keyword fragment in the second search keyword fragment;

Predicting based on the second search keyword segment to obtain a second predicted search keyword;

If there is search data corresponding to the second predicted search keyword in the memory of the server, the data search according to the second predicted search keyword is stopped.

In yet another embodiment, the number of the first predicted search keyword is at least one; the processing unit 702 performs prediction based on the first search keyword segment, and after obtaining the first predicted search keyword, further uses To execute:

obtaining a keyword search list, where the keyword search list includes predicted search keywords in a data search state among the first predicted search keywords;

The processing unit 702 performs prediction based on the second search keyword segment, and after obtaining the second predicted search keyword, is further configured to execute:

If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword exists in the keyword search list, continue to search for the key according to the second predicted keyword word for data search;

If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword does not exist in the keyword search list, search the key according to the second prediction Searching data for the second predicted search keyword is performed to obtain search data corresponding to the second predicted search keyword.

In yet another embodiment, the processing unit 702 stores the search data and the first predicted search keyword in the memory of the server correspondingly, and specifically executes:

generating a storage validity period for the search data;

The processing unit 702 performs prediction based on the second search keyword segment, and after obtaining the second predicted search keyword, is further configured to execute:

If there is search data corresponding to the second predicted search keyword in the memory of the server, verify the validity of the storage validity period of the search data corresponding to the second predicted search keyword;

If the validity verification fails, the data search is performed again according to the second predicted search keyword.

In yet another embodiment, the processing unit 702 performs prediction based on the search keyword segment to obtain the predicted search keyword, which is specifically used to execute:

obtaining the user portrait of the client;

Prediction is performed based on the search keyword segment, and a first predicted search keyword matching the user portrait is obtained.

In yet another embodiment, the processing unit 702 performs data search according to the predicted search keywords to obtain search data, and stores the search data and the predicted search keywords in the memory of the server correspondingly , specifically for executing:

Perform data search based on the first predicted search keyword to obtain search data matching the user portrait of the client;

The client identifier of the client, the first predicted search keyword, and the search data matching the user portrait are stored in the memory of the server correspondingly.

In yet another embodiment, if there is a target predicted search keyword that is the same as the target search keyword in the memory of the server, the processing unit 702 executes a search for the target search keyword from the memory of the server. When predicting the search data corresponding to the search keywords, it is specifically used to execute:

According to the client identification and the target predicted search keyword, search data corresponding to the target predicted search keyword and the client identification from the memory of the server.

According to an embodiment of the present invention, steps S403, S404 and S406, and S407 in the data search method shown in FIG. 4, and steps S503, S504, and S507 in the method shown in FIG. 5 can be performed. And steps S509 to S511 may be performed by each unit in the data search apparatus shown in FIG. 7 . For example, step S403 in FIG. 4 can be executed by the second receiving unit 701 of the data search apparatus shown in FIG. 7 , and steps S403, S404 and S406 can all be executed by the processing unit 702 of the data search apparatus shown in FIG. 7 , step S407 can be performed by the second sending unit 703 of the data search device shown in FIG. 7 ; for another example, step S503 in the data search method shown in FIG. 5 can be performed by the second receiving unit of the data search device shown in FIG. 7 . 701, step S504, step S507, step S509 and step S510 can all be performed by the processing unit 702 of the data search device shown in FIG. 7, and step S511 can be performed by the second sending unit 703 of the data search device shown in FIG. 7 implement.

According to another embodiment of the present invention, each unit in the data search apparatus shown in FIG. 7 is divided based on logical functions, and each of the above-mentioned units may be respectively or all combined into one or several other units to form, or one of the above A certain unit(s) may be further divided into multiple units with smaller functions to form, which can realize the same operation without affecting the realization of the technical effect of the embodiments of the present invention. In other embodiments of the present invention, the above data searching apparatus may also include other units, and in practical applications, these functions may also be implemented with the assistance of other units, and may be implemented by cooperation of multiple units.

According to another embodiment of the present invention, by running on a server including processing elements and storage elements such as a central processing unit (CPU), random access storage medium (RAM), read only storage medium (ROM), and storage elements, such as Steps S403, S404 and S406 and S407 in the method shown in FIG. 4, and steps S503, S504, S507, and S509 to S511 in the method shown in FIG. 5 can be performed. The computer program (including program code) of the steps is used to construct the data search apparatus as shown in FIG. 7, and to realize the data search method of the embodiment of the present invention. The computer program can be recorded on, for example, a computer storage medium, loaded into the above-mentioned server via the computer storage medium, and executed there.

The data search apparatus provided by the embodiment of the present invention can receive, through the second receiving unit, the first search keyword segment generated by the user in the process of inputting the target search keyword and sent by the client, and use a processing unit based on the first search keyword segment Perform keyword prediction to obtain a first predicted search keyword; and perform a data search based on the first predicted keyword to obtain corresponding search data, and store the search data in the memory of the server, so as to realize that after receiving the user input and After the first predicting the target search keyword with the same search keyword, the second sending unit directly obtains the search data from the memory and sends it to the client where the user is located, which greatly saves the time for the server to respond to the data search, thereby improving the search for data search. rate.

Based on the descriptions of the foregoing method embodiments and apparatus embodiments, an embodiment of the present invention further provides a terminal. 8, the terminal includes a processor 801, an input interface 802, an output interface 803, and a computer storage medium 804, and the processor 801, the input interface 802, the output interface 803, and the computer storage medium 804 in the terminal can pass through a bus or other way to connect.

The computer storage medium 804 is a memory device in the terminal for storing programs and data. It can be understood that, the computer storage medium 804 here may include both a built-in storage medium in the terminal, and certainly also an extended storage medium supported by the terminal. The computer storage medium 804 provides storage space in which the operating system of the terminal is stored. In addition, one or more computer programs suitable for being loaded and executed by the processor 801 are also stored in the storage space. It should be noted that the computer storage medium here can be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk memory; optionally, it can also be at least one memory located far away from the aforementioned processing computer storage medium for the device. The processor 801 (or called CPU (Central Processing Unit, central processing unit)) is the computing core and the control core of the terminal, which is suitable for implementing one or more computer programs, and is specifically suitable for loading and executing one or more computer programs. The program thus realizes the corresponding method flow or corresponding function.

In one embodiment, the terminal may perform the steps performed by the client in the foregoing embodiment, that is, the processor 801 loads and executes one or more computer programs stored in the computer storage medium 804, so as to implement the above-mentioned related procedures shown in FIG. 2 . The method shown in FIG. 4 and step S401, step S402, step S405 and step S408 in the method shown in FIG. 4, and step S501, step S502, step S505, step S506, step S508 and step S512 in the method shown in FIG. 5. In a specific implementation, one or more computer programs in the computer storage medium 804 are loaded and executed by the processor 801:

In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment; The segment is sent to the server; in response to the input operation of the target search keyword, the target search keyword is acquired, and the target search keyword is sent to the server; the search sent by the server is received and displayed data, the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the search data corresponding to the target first predicted search keyword is the server The search data corresponding to the target first predicted search keyword and the first predicted search keyword are correspondingly stored in the memory of the server, obtained by performing data search based on the first predicted search keyword; A predicted search keyword is the first predicted search keyword in the memory of the server that is the same as the target search keyword; the first predicted search keyword is predicted by the server based on the first search keyword segment, And the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for the first search keyword segment. Front.

In the embodiment of the present invention, the terminal obtains and sends the first search keyword segment generated by the user in the process of inputting the target search keyword to the server, so that the server can perform keyword prediction based on the first search keyword segment, and obtain the first search keyword segment. a predicted search keyword; and causing the server to perform a data search based on the first predicted keyword, obtaining corresponding search data, and causing the server to store the search data in the memory of the server. It is realized that after the user enters the same target search keyword as the first predicted search keyword and triggers the data search operation, the server can directly obtain the search data from the memory and send it to the client where the user is located, which greatly saves the server response data. Search time, and then improve the search rate of data search.

Based on the descriptions of the foregoing method embodiments and apparatus embodiments, the embodiments of the present invention provide a server. 9, the server includes a processor 901, an input interface 902, an output interface 903, and a computer storage medium 904, and the processor 901, the input interface 902, the output interface 903, and the computer storage medium 904 in the server can be connected through a bus or other way to connect.

The computer storage medium 904 is a memory device in the server for storing programs and data. It can be understood that, the computer storage medium 904 here can include both a built-in storage medium in the server, and certainly also an extended storage medium supported by the server. Computer storage medium 904 provides storage space that stores the server's operating system. In addition, one or more computer programs suitable for being loaded and executed by the processor 901 are also stored in the storage space. It should be noted that the computer storage medium here can be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk memory; optionally, it can also be at least one memory located far away from the aforementioned processing computer storage medium for the device. The processor 901 (or called CPU (Central Processing Unit, central processing unit)) is the computing core and the control core of the server, which is suitable for implementing one or more computer programs, and is specifically suitable for loading and executing one or more computer programs. So as to realize the corresponding method flow or corresponding function.

In one embodiment, the server may perform the steps performed by the server in the foregoing embodiment, that is, the processor 901 loads and executes one or more computer programs stored in the computer storage medium 904, so as to implement the above-mentioned related procedures shown in FIG. 4 . Steps S403 , S404 and S406 and S407 in the method, and steps S503 , S504 , S507 , and S509 to S511 in the method shown in FIG. 5 . In a specific implementation, one or more computer programs in the computer storage medium 904 are loaded and executed by the processor 901:

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; data search is performed according to the first predicted search keyword, and a search result is obtained. data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; receive the target search keyword sent by the client, and the target search keyword is the client Obtained in response to the input operation of the target search keyword, the target search keyword includes the first search keyword segment; if there is a target first search keyword that is the same as the target search keyword in the memory of the server Once a predicted search keyword is found, the search data corresponding to the target first predicted search keyword is searched from the memory of the server, and the search data corresponding to the target first predicted search keyword is sent to the client.

In one embodiment, the number of the first predicted search keywords is at least two; the processor 901 performs data search according to the first predicted search keywords, and before obtaining search data, is further configured to execute:

obtaining the length ratio of each of the first predicted search keywords and the first search keyword segments;

determining, among the at least two first predicted search keywords, a first predicted search keyword whose length ratio is greater than a ratio threshold;

The processor 901 performs data search according to the first predicted search keyword, and specifically executes:

Data search is performed according to the first predicted search keyword whose length ratio is greater than the ratio threshold.

In yet another embodiment, the first search keyword segment is obtained by the client in response to the Nth segment input operation in the process of inputting the target search keyword, and the target search keyword is If the input is achieved through at least N+1 segment input operations, N is a positive integer; after the processor 901 stores the search data and the first predicted search keyword in the memory of the server correspondingly, the The processor 901 is also used to execute:

Receive a second search keyword segment sent by the client, wherein the second search keyword segment is obtained by the client in response to the N+1th segment input operation, and the second search keyword The fragment includes the first search keyword fragment, and the first search keyword fragment is located in front of characters other than the first search keyword fragment in the second search keyword fragment;

Predicting based on the second search keyword segment to obtain a second predicted search keyword;

If there is search data corresponding to the second predicted search keyword in the memory of the server, the data search according to the second predicted search keyword is stopped.

In yet another embodiment, the number of the first predicted search keyword is at least one; the processor 901 performs prediction based on the first search keyword segment, and after obtaining the first predicted search keyword, further uses To execute:

obtaining a keyword search list, where the keyword search list includes predicted search keywords in a data search state among the first predicted search keywords;

The processor 901 performs prediction based on the second search keyword segment, and after obtaining the second predicted search keyword, is further configured to execute:

If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword exists in the keyword search list, continue to search for the key according to the second predicted keyword word for data search;

If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword does not exist in the keyword search list, search the key according to the second prediction Searching data for the second predicted search keyword is performed to obtain search data corresponding to the second predicted search keyword.

In yet another embodiment, the processor 901 stores the search data and the first predicted search keyword in the memory of the server correspondingly, and specifically executes:

generating a storage validity period for the search data;

The processor 901 performs prediction based on the second search keyword segment, and after obtaining the second predicted search keyword, is further configured to execute:

If there is search data corresponding to the second predicted search keyword in the memory of the server, verify the validity of the storage validity period of the search data corresponding to the second predicted search keyword;

If the validity verification fails, the data search is performed again according to the second predicted search keyword.

In yet another embodiment, the processor 901 performs prediction based on the search keyword segment to obtain the predicted search keyword, and specifically executes:

obtaining the user portrait of the client;

Prediction is performed based on the search keyword segment, and a first predicted search keyword matching the user portrait is obtained.

In yet another embodiment, the processor 901 executes the data search according to the predicted search keyword to obtain search data, and stores the search data and the predicted search keyword in the server correspondingly In the memory, the specific implementation:

Perform data search based on the first predicted search keyword to obtain search data matching the user portrait of the client;

The client identifier of the client, the first predicted search keyword, and the search data matching the user portrait are stored in the memory of the server correspondingly.

In yet another embodiment, if there is a target prediction search keyword that is the same as the target search keyword in the memory of the server, the processor 901 searches the memory of the server for the target prediction search keyword that is the same as the target prediction keyword. To search the search data corresponding to the keyword, execute the following steps:

According to the client identification and the target predicted search keyword, search data corresponding to the target predicted search keyword and the client identification from the memory of the server.

In the embodiment of the present invention, the server can receive, through the processor, the first search keyword segment generated by the user in the process of inputting the target search keyword and sent by the client, and use the processing unit to perform keyword search based on the first search keyword segment Predict to obtain the first predicted search keyword; and perform a data search based on the first predicted keyword by the processor to obtain corresponding search data, and store the search data in the memory of the server, so as to realize that after receiving the user input and the After the first predicting the target search keyword with the same search keyword, the second sending unit directly obtains the search data from the memory and sends it to the client where the user is located, which greatly saves the time for the server to respond to the data search, thereby improving the search for data search. rate.

An embodiment of the present invention also provides a computer storage medium, in which a computer program for the above data search method is stored. When one or more processors load and execute the computer program, the data search method in the embodiment can be implemented. The description of the method will not be repeated here. The description of the beneficial effects of using the same method will not be repeated here. It will be appreciated that a computer program may be deployed and executed on one or more devices capable of communicating with each other.

It should be noted that, according to an aspect of the present invention, there is also provided a computer program product or a computer program, where the computer program product includes a computer program, and the computer program is stored in a computer-readable storage medium. The processor in the terminal reads the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the terminal executes:

In response to a fragment input operation in the process of inputting a target search keyword, a first search keyword fragment is obtained, wherein the target search keyword is input through at least two fragment input operations, and the target search keyword is input through at least two fragment input operations. Including the first search keyword segment; sending the first search keyword segment to the server; in response to the input operation of the target search keyword, acquiring the target search keyword, and sending the target search keyword sending the word to the server; receiving and displaying the search data sent by the server, the search data obtained by the server by searching the search data corresponding to the target first predicted search keyword in the memory of the server; The search data corresponding to the target first predicted search keyword is obtained by the server performing data search based on the first predicted search keyword, and the search data corresponding to the target first predicted search keyword and the first predicted search keyword are obtained. The predicted search keyword is correspondingly stored in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the memory of the server; the first predicted search keyword is the same as the target search keyword. The predicted search keyword is predicted by the server based on the first search keyword segment, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first search keyword segment. Predicting the front of characters in the search keyword other than the first search keyword segment.

According to another aspect of the present invention, there is also provided yet another computer program product or computer program, the computer program product comprising a computer program, the computer program being stored in a computer-readable storage medium. The processor in the server reads the computer program from the computer-readable storage medium, the processor executes the computer program, causing the server to execute:

Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; data search is performed according to the first predicted search keyword, and a search result is obtained. data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; receive the target search keyword sent by the client, and the target search keyword is the client Obtained in response to the input operation of the target search keyword, the target search keyword includes the first search keyword segment; if there is a target first search keyword that is the same as the target search keyword in the memory of the server Once a predicted search keyword is found, the search data corresponding to the target first predicted search keyword is searched from the memory of the server, and the search data corresponding to the target first predicted search keyword is sent to the client.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by hardware related to computer programs. The computer programs can be stored in a computer storage medium, and when the computer programs are executed , which may include the processes of the above-mentioned method embodiments. The computer storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM) or the like.

The above disclosure is only a partial embodiment of the present invention, and of course, it cannot limit the scope of the right of the present invention. Those of ordinary skill in the art can understand the whole or part of the process of realizing the above embodiment, and make according to the claims of the present invention. The equivalent changes of the invention still belong to the scope covered by the invention.

Claims (10)

1. a data search method, it is characterised in that the method is applicable to a client, comprising: In response to a fragment input operation in the process of inputting the target search keyword, a first search keyword fragment is obtained, wherein the target search keyword includes the first search keyword fragment; sending the first search keyword segment to a server; In response to an input operation of the target search keyword, acquiring the target search keyword, and sending the target search keyword to the server; Receive and display the search data sent by the server, where the search data is obtained by the server by looking up the search data corresponding to the target first predicted search keyword in the memory of the server; the target first predicted search keyword The corresponding search data is obtained by the server performing a data search based on the first predicted search keyword, and the search data corresponding to the target first predicted search keyword and the first predicted search keyword are stored correspondingly in the in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the memory of the server; the first predicted search keyword is the server based on the first predicted search keyword A search keyword segment is predicted, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first predicted search keyword except for the first search keyword segment. A search keyword segment is preceded by a character other than that. 2. A method for searching data, wherein the method is applicable to a server, comprising: Receive the first search keyword segment sent by the client, and perform prediction based on the first search keyword segment to obtain a first predicted search keyword, where the first predicted search keyword includes the first search keyword segment , and the first search keyword segment is located in front of the characters other than the first search keyword segment in the first predicted search keyword; Perform data search according to the first predicted search keyword to obtain search data, and store the search data and the first predicted search keyword in the memory of the server correspondingly; Receive the target search keyword sent by the client, the target search keyword is obtained by the client in response to an input operation of the target search keyword, and the target search keyword includes the first search keyword fragment; If there is a target first predicted search keyword that is the same as the target search keyword in the memory of the server, search for the search data corresponding to the target first predicted search keyword from the memory of the server, and Sending the search data corresponding to the target first predicted search keyword to the client. 3. The method according to claim 2, wherein the number of the first predicted search keywords is at least two; before the data search is performed according to the first predicted search keywords, and search data is obtained, The method also includes: obtaining the length ratio of each of the first predicted search keywords and the first search keyword segments; determining, among the at least two first predicted search keywords, a first predicted search keyword whose length ratio is greater than a ratio threshold; The performing data search according to the first predicted search keyword includes: Data search is performed according to the first predicted search keyword whose length ratio is greater than the ratio threshold. 4. The method according to claim 2, wherein the first search keyword segment is obtained by the client in response to the Nth segment input operation in the process of inputting the target search keyword, The target search keyword is input through at least N+1 segment input operations, where N is a positive integer; After the corresponding storage of the search data and the first predicted search keyword in the memory of the server, the method further includes: Receive a second search keyword segment sent by the client, wherein the second search keyword segment is obtained by the client in response to the N+1th segment input operation, and the second search keyword The fragment includes the first search keyword fragment, and the first search keyword fragment is located in front of characters other than the first search keyword fragment in the second search keyword fragment; Predicting based on the second search keyword segment to obtain a second predicted search keyword; If there is search data corresponding to the second predicted search keyword in the memory of the server, the data search according to the second predicted search keyword is stopped. 5 . The method according to claim 4 , wherein the number of the first predicted search keywords is at least one; and the first predicted search keywords are obtained by predicting based on the first search keyword segment. 6 . After that, also include: obtaining a keyword search list, where the keyword search list includes predicted search keywords in a data search state among the first predicted search keywords; After the prediction based on the second search keyword segment and obtaining the second predicted search keyword, the method further includes: If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword exists in the keyword search list, continue to search for the key according to the second predicted keyword word for data search; If the search data corresponding to the second predicted search keyword does not exist in the memory of the server, and the second predicted search keyword does not exist in the keyword search list, search the key according to the second prediction Searching data for the second predicted search keyword is performed to obtain search data corresponding to the second predicted search keyword. 6. The method according to claim 4, wherein the storing the search data and the first predicted search keyword in the memory of the server correspondingly comprises: generating a storage validity period for the search data; After the prediction based on the second search keyword segment and obtaining the second predicted search keyword, the method further includes: If there is search data corresponding to the second predicted search keyword in the memory of the server, verify the validity of the storage validity period of the search data corresponding to the second predicted search keyword; If the validity verification fails, the data search is performed again according to the second predicted search keyword. 7. The method according to claim 2, wherein the predicting based on the search keyword segment to obtain the predicted search keyword comprises: obtaining the user portrait of the client; Prediction is performed based on the search keyword segment, and a first predicted search keyword matching the user portrait is obtained. 8. The method according to claim 2 or 7, wherein the data search is performed according to the predicted search keywords to obtain search data, and the search data and the predicted search keywords are stored correspondingly in a The memory of the server includes: Perform data search based on the first predicted search keyword to obtain search data matching the user portrait of the client; The client identifier of the client, the first predicted search keyword, and the search data matching the user portrait are stored in the memory of the server correspondingly. 9 . The method according to claim 8 , wherein, if there is a target predicted search keyword that is the same as the target search keyword in the memory of the server, searching for the same target search keyword from the memory of the server. 10 . The search data corresponding to the target prediction search keyword includes: According to the client identification and the target predicted search keyword, search data corresponding to the target predicted search keyword and the client identification from the memory of the server. 10. A data search device, wherein the device is applied to a client, comprising: an obtaining unit, configured to obtain a first search keyword fragment in response to a fragment input operation in the process of inputting a target search keyword, wherein the target search keyword includes the first search keyword fragment; a first sending unit, configured to send the first search keyword segment to a server; The obtaining unit is further configured to obtain the target search keyword in response to an input operation of the target search keyword, and send the target search keyword to the server; a first receiving unit, configured to receive and display the search data sent by the server, where the search data is obtained by the server by searching for search data corresponding to the target first predicted search keyword in the memory of the server; The search data corresponding to the target first predicted search keyword is obtained by the server performing a data search based on the first predicted search keyword, and the search data corresponding to the target first predicted search keyword is the same as the first predicted search keyword. The predicted search keyword is correspondingly stored in the memory of the server; the target first predicted search keyword is the same first predicted search keyword as the target search keyword in the memory of the server; the first predicted search keyword is the same as the target search keyword. The predicted search keyword is predicted by the server based on the first search keyword segment, and the first predicted search keyword includes the first search keyword segment; the first search keyword segment is located in the first search keyword segment. Predicting the front of characters in the search keyword other than the first search keyword segment.

Images