CN111125176B - Service data searching method and device, electronic equipment and storage medium - Google Patents

Abstract

This application discloses a business data search method, device, electronic device and storage medium, and relates to the field of search engines. The specific implementation plan is: obtain user search information; determine search results based on user search information and business index information; among them, the business search module is constructed in the following way: obtain the field configuration information of the business party through the general search module in the business server; use general search The module obtains the business data of the business party; the field configuration information and the business data are used to adjust the general search module into a business search module. The embodiment of this application is based on the general search module to obtain the fields that each business party can configure according to their own business needs and the uploaded business data to build a business search module, so that the business search module can be used by different business parties to meet the personalized customization needs of the business party. Then the user completes precise retrieval based on the business search module deployed by the business party.

Description

A business data search method, device, electronic device and storage medium

Technical field

The embodiments of the present application relate to the field of Internet technology, particularly to the field of search engines, and specifically to a business data search method, device, electronic device and storage medium.

Background technique

In the current context of the Internet, many business parties are paying more and more attention to integration with the Internet. For example, government departments hope to implement a series of convenient services and applications through the Internet. In order for users to quickly find the information or services they want, the business party must implement a search function for information service data.

Currently, there is a lack of search solutions that can not only adapt to the personalized search needs of different business parties, but also avoid business party data leakage.

Contents of the invention

Embodiments of the present application disclose a business data search method, device, electronic device and storage medium, so as to be able to adapt to the personalized search needs of different business parties while avoiding business party data leakage.

In a first aspect, embodiments of the present application disclose a business data search method, which is executed by a business search module in a business server. The method includes:

Obtain user search information;

Determine search results based on the user search information and business index information;

Wherein, the business search module is constructed in the following manner: obtaining the field configuration information of the business party through the general search module in the business server; obtaining the business data of the business party through the general search module; the field configuration information and the The business data is used to adjust the general search module to the business search module.

One embodiment in the above-mentioned application has the following advantages or beneficial effects: The embodiment of the present application is based on the general search module to obtain the fields that each business party can configure according to their own business needs, and the business data uploaded by each business party, so as to build a business search module, so that The business search module can be used by different business parties to meet the personalized customization needs of the business party, and then users can complete accurate searches based on the business search module deployed by the business party.

In addition, the business data search method according to the above embodiments of the present application may also have the following additional technical features:

Optionally, write the obtained field configuration information into the field database of the general search module through the initialization interface of the general search module;

Write the acquired business data into the business data queue of the general search module through the data processing interface of the general search module;

Send the business data in the business data queue to the indexing unit through the business management unit of the general search module;

Field configuration information is obtained from the field database through the index unit, and the service index information is constructed according to the obtained field configuration information and the received service data.

One embodiment in the above application has the following advantages or beneficial effects: the business data uploaded by the business party is managed through the business management unit, and the business data in the business data queue is sent to the index unit, which facilitates the construction of fields and business data. index.

Optionally, the field configuration information includes query fields and auxiliary fields; the auxiliary fields include at least one of the following: filtering fields, privilege elevating fields, sorting fields, aggregation fields, and marking fields;

Determining search results based on the user search terms and business index information includes:

Determine preliminary search results based on user search information belonging to the query field and the business index information;

The preliminary search results are processed based on user search information belonging to the auxiliary field.

One embodiment in the above application has the following advantages or beneficial effects: the preliminary search results required by the user can be quickly found based on the query field, and the preliminary search results can be filtered and marked through the auxiliary fields, and the most relevant search results can be returned to users, improving search accuracy.

Optionally, the method also includes:

Obtain resource data of the business search module from a third party;

According to the resource data of the business search module, the business search module is deployed to the business server.

One embodiment in the above application has the following advantages or beneficial effects: the business search module is deployed in the business party's own server to avoid business party data leakage and ensure business party data security.

Optionally, determining search results based on the user search information and business index information includes:

Send the user search information to a third-party query analysis module to instruct the query analysis module to analyze the user search information;

Search results are determined based on the analyzed user search information and the business index information. One embodiment in the above application has the following advantages or beneficial effects: using a third-party query analysis module to analyze user search information, core word extraction, typo identification and pornography identification can be achieved, thereby ensuring the relevance of the retrieval.

In the second aspect, embodiments of the present application disclose a business search module, which is configured in the business search module of the business server; the device includes:

The search information acquisition unit is used to obtain user search information;

A search result determination unit, configured to determine search results based on the user search information and business index information;

Wherein, the business search module is constructed in the following manner: obtaining the field configuration information of the business party through the general search module in the business server; obtaining the business data of the business party through the general search module; the field configuration information and the The business data is used to adjust the general search module to the business search module.

In a third aspect, embodiments of the present application also provide an electronic device, including:

at least one processor; and

a memory communicatively connected to the at least one processor; wherein,

The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can perform the business data search described in any embodiment of the present application. method.

In a fourth aspect, embodiments of the present application also provide a non-transient computer-readable storage medium storing computer instructions, the computer instructions being used to cause the computer to execute the business data search method described in any embodiment of the present application.

One embodiment in the above application has the following advantages or beneficial effects: based on the universal search module, the fields configured by different business parties according to their own business needs are obtained, and the business data uploaded by the business parties are obtained at the same time, and based on the fields and services configured by each business party The business index information is constructed correspondingly to the data for user search, thus ensuring that the business search module can be used by different business parties to meet the personalized customization needs of different business parties. Moreover, by deploying the business search module in the business side's own server, the business side data leakage is avoided and the business side data security is ensured.

Other effects of the above optional methods will be described below in conjunction with specific embodiments.

Description of the drawings

The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present application. in:

Figure 1 is a schematic flow chart of a business data search method according to an embodiment of the present application;

Figure 2 is a schematic flow chart of a business data search method according to an embodiment of the present application;

Figure 3a is a schematic flow chart of a business data search method according to an embodiment of the present application;

Figure 3b is a schematic diagram of the deployment of a business search module according to an embodiment of the present application;

Figure 4 is a schematic structural diagram of a business search module according to an embodiment of the present application;

Figure 5 is a block diagram of an electronic device used to implement the business data search method according to the embodiment of the present application.

Detailed ways

Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be considered to be exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

Figure 1 is a schematic flowchart of a business data search method according to an embodiment of the present application. This embodiment can be applied to non-professional search services, such as internal search of applications, service APPs or mini-programs, in-site search of various websites, etc. The method can be executed by a service search module, which is implemented in software and/or hardware, and is preferably configured in an electronic device, such as a server or computer device. As shown in Figure 1, the method specifically includes the following:

S101. Obtain user search information.

Optionally, provide the user with a search box control on the front end, and the user can enter the search information they want to query in the search box. When entering search information, you can optionally enter it in text or voice. It should be noted here that if the user inputs voice search information, voice recognition can be performed first to obtain the text search information, and then the search operation can be performed.

S102. Determine search results according to the user search information and business index information.

Among them, the business search module is constructed in the following way:

S1. Obtain the field configuration information of the business party through the general search module in the business server.

In the initial stage of building a business search module based on the general search module, the general search module obtains that each business party can configure corresponding fields in the interface document according to its own business needs. Optional fields include general query fields and custom fields, where An example of the general query field is "gid", which corresponds to the "document id", and the field "title", which corresponds to the "main title". It should be noted here that in the initial stage, business parties can configure corresponding fields in the interface document according to their own business needs, thus ensuring that the built business search module can be used by different business parties and meet the personalized customization needs of business parties. . After the business party configures the fields, the business party's field configuration information can be obtained from the interface document based on the initialization interface in the universal search module.

Furthermore, the business search module also includes a field database. For example, the field database is redis. Therefore, the obtained field configuration information can also be written into the field database of the general search module through the initialization interface of the general search module.

S2. Obtain the business data of the business party through the general search module.

Optionally, the general search module also includes a data processing interface, so the business data submitted, modified or deleted by the business party can be obtained through the data processing interface. Furthermore, the general search module also includes a business data queue (such as kafka), so the acquired business data can be written into the business data queue of the general search module through the data processing interface.

S3. The field configuration information and the service data are used to adjust the general search module to the service search module.

To adjust the general search module to a business search module, you first need to build an index between the field configuration information and the business data. In order to quickly build business index information, the general search module also includes a business management unit, through the business The management unit can deliver the business data in the business data queue to the index unit of the general search module; obtain field configuration information from the field database through the index unit, and construct business index information based on the obtained field configuration information and business data, for example, through The business index information is constructed in an inverted index manner. After the business index information is constructed, the general search module is adjusted to the business search module.

Furthermore, based on the well-constructed business index information, the well-constructed business search module provides two search methods, query retrieval (i.e., search word retrieval) and sug retrieval (i.e., location retrieval input prompt service). When searching using the query retrieval method, after obtaining the user search information, match the user search information with the configured field information to find the target field related to the user search information, and then determine the business corresponding to the target field based on the business index information. Data as search results. When using the sug retrieval method, the suggested words are queried in the pre-cached sug vocabulary based on the obtained user search information, and the content pre-cached by the cache system (such as memcache) is searched based on the suggested words. Among them, the words in the sug vocabulary are Optionally mine from user search information.

In the embodiment of this application, based on the universal search module, the fields that each business party can configure according to their own business needs and the business data uploaded by each business party are obtained to build a business search module, so that the business search module can be used by different business parties to meet the needs of the business. According to the party's personalized customization needs, the user can then complete precise retrieval based on the business search module deployed by the business party.

Figure 2 is a schematic flow chart of the business data search method provided by the embodiment of the present application. This embodiment is optimized based on the above embodiment. In this embodiment, the field configuration information of the business party obtained through the initialization interface includes Query fields and auxiliary fields (i.e. custom fields).

Referring to Figure 2, the method specifically includes:

S201. Obtain user search information.

S202. Determine preliminary search results based on user search information belonging to the query field and the business index information.

Optionally, match the user search information with the query fields, determine the correlation between the user search information and each query field, and then determine the target query field to which the user search information belongs based on the correlation, and then determine based on the business index information. The business data associated with the target query field is used as preliminary search results.

S203. Process the preliminary search results according to the user search information belonging to the auxiliary field.

In this embodiment of the present application, the auxiliary fields include at least one of the following: filtering fields, privilege elevating fields, sorting fields, aggregation fields, and marking fields. Among them, the filter field is used to filter preliminary search results. For example, if the filter field is the name of an administrative division at the same level, the preliminary search results can be filtered according to different administrative divisions; the rights elevating field is used to sort the search results, such as the preliminary search results. , one search result includes an elevating field to rank the search result first; a sorting field is used to sort the search structure; an aggregation field is used to combine similar searches; and a tag field is used to rank the search results Mark some fields in the field, for example, highlight them.

Calculate the correlation between the user search information and the auxiliary fields, determine the target auxiliary field to which the user search information belongs, and process the preliminary results based on the target auxiliary fields to obtain the final search results.

In the embodiment of this application, the preliminary search results needed by the user can be quickly found based on the query field, and the preliminary search results can be filtered and marked through the auxiliary fields, and the most relevant search results are returned to the user, improving the accuracy of the search. .

Figure 3a is a schematic flow chart of the business data search method provided by the embodiment of the present application. The embodiment of the present application is optimized on the basis of the above embodiment. See Figure 3a. The method specifically includes:

S301. Obtain user search information.

S302. Send the user search information to a third-party query analysis module to instruct the query analysis module to analyze the user search information.

Among them, the third-party query analysis module can be the query analysis module provided by the existing search engine. Before searching the index database to obtain the search results, the user search information is first sent to the third-party query analysis module, instructing the query analysis module to The user search information is analyzed, for example, pornographic identification, feature word extraction, error correction, etc. are performed on the user search information to obtain more accurate search terms to improve the relevance of the search.

S303. Determine search results based on the analyzed user search information and the business index information.

The analyzed user search information and business index information are used to determine the search results. For the specific search process, please refer to the above description and will not be repeated here.

In the embodiment of this application, the business search module is deployed on the business party's own server to avoid data leakage and ensure data security. At the same time, before searching the index database to obtain the search results, a third-party query analysis module is used to analyze the user Search information, and then use the analyzed user search information to query, can ensure the relevance and accuracy of search results.

It should be noted here that the deployment operations of the business search module in the above embodiments are as follows: obtain the resource data of the business search module from a third party; deploy the business search module to the business server according to the resource data of the business search module, Since the business search module is deployed on the business party's own server, data leakage is avoided and data security is ensured.

Refer to Figure 3b, which shows a schematic diagram of the deployment of the service search module. During deployment, you can optionally obtain the resource data of the business search module through a third-party package download service and deploy it on the business server. The business search module includes three layers, namely the API layer, the online service layer, and the offline service layer. The API The layer includes initialization interface (init), data processing interface (entry), and search interface (such as ordinary search retrieval interface, sug retrieval interface).

In the initialization phase, the initial configuration is completed through the initialization interface, and the initial configuration information is written into the configuration information database (conf). For example, the query fields and auxiliary fields configured by the business party in the initialization phase are written into the configuration information database through this interface; after submitting When building the database, the business data uploaded by the business party is obtained through the data processing interface, and the business data is delivered to the business data queue (kafka). The business management unit (build-index) delivers the business data in the business data queue to the index. Unit (ES index library), the index unit builds business index information based on the field configuration information and business data configured in the initial stage. When searching, you can perform ordinary search terms (query search) through the search retrieval interface, or perform sug retrieval through the sug retrieval interface. When searching through the search retrieval interface, if the cache system (memcache) is pre-deployed and has data cached, the user search information can be searched in the cache system first. If it is not found, it can be queried from the ES index library and retrieved through sug. When searching through the interface, it is retrieved directly from the cache system. During the retrieval process, the search terms entered by the user can be added to the pre-established query vocabulary or sug vocabulary. Furthermore, in the offline service layer, phrases can be mined from the query vocabulary and added to the sug vocabulary. In addition, during the search process, query analysis will also be performed on the search results, optionally through the query analysis module (queryparser) provided by a third party.

Figure 4 is a schematic structural diagram of a business search module provided by an embodiment of the present application. The business search module is used to execute the business data search method provided by the above embodiment. Referring to Figure 4, the business search module includes:

Search information acquisition unit 401, used to acquire user search information;

Search result determination unit 402, configured to determine search results according to the user search information and business index information;

Wherein, the business search module is constructed in the following manner: obtaining the field configuration information of the business party through the general search module in the business server; obtaining the business data of the business party through the general search module; the field configuration information and the The business data is used to adjust the general search module to the business search module.

Optionally, the business search module is specifically constructed in the following manner:

Write the obtained field configuration information into the field database of the general search module through the initialization interface of the general search module;

Write the acquired business data into the business data queue of the general search module through the data processing interface of the general search module;

Deliver the business data in the business data queue to the indexing unit through the business management unit of the general search module;

Field configuration information is obtained from the field database through the index unit, and the service index information is constructed according to the obtained field configuration information and the received service data.

Optionally, the field configuration information includes query fields and auxiliary fields; the auxiliary fields include at least one of the following: filtering fields, privilege elevating fields, sorting fields, aggregation fields, and marking fields;

Correspondingly, the search result determination unit is specifically used to:

Determine preliminary search results based on user search information belonging to the query field and the business index information;

The preliminary search results are processed based on user search information belonging to the auxiliary field.

Optionally, the business search module is also used to:

Obtain resource data of the business search module from a third party;

Deploy the business search module to the business server according to the resource data of the business search module.

Optionally, the device also includes:

The resource acquisition module is used to obtain resource data of the business search module from a third party;

A deployment module, configured to deploy the business search module to the business server according to the resource data of the business search module.

The business search module provided by the embodiments of this application can execute the business data search method provided by any embodiment of this application, and has functional modules and beneficial effects corresponding to the execution method. For content that is not described in detail in this embodiment, please refer to the description in any method embodiment of this application.

According to embodiments of the present application, the present application also provides an electronic device and a readable storage medium.

As shown in Figure 5, it is a block diagram of an electronic device according to the business data search method according to the embodiment of the present application. Electronic devices are intended to refer to various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are examples only and are not intended to limit the implementation of the present application as described and/or claimed herein.

As shown in Figure 5, the electronic device includes: one or more processors 501, memory 502, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be mounted on a common motherboard or otherwise mounted as desired. The processor may process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used with multiple memories and multiple memories, if desired. Likewise, multiple electronic devices can be connected, each device providing part of the necessary operation (eg, as a server array, a set of blade servers, or a multi-processor system). In Figure 5, a processor 501 is taken as an example.

The memory 502 is the non-transitory computer-readable storage medium provided by this application. The memory stores instructions executable by at least one processor, so that the at least one processor executes the business data search method provided by this application. The non-transitory computer-readable storage medium of this application stores computer instructions, which are used to cause the computer to execute the business data search method provided by this application.

As a non-transitory computer-readable storage medium, the memory 502 can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions/modules corresponding to the business data search method in the embodiment of the present application (for example, The search information acquisition unit 401 and the search result determination unit 402 shown in Figure 4). The processor 501 executes various functional applications and data processing of the server by running non-transient software programs, instructions and modules stored in the memory 502, that is, implementing the business data search method in the above method embodiment.

The memory 502 may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data created according to the use of the electronic device to implement the business data search method. wait. In addition, memory 502 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 502 optionally includes memories remotely located relative to the processor 501, and these remote memories can be connected to electronic devices that implement the business data search method through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

The electronic device that implements the business data search method may also include: an input device 503 and an output device 504. The processor 501, the memory 502, the input device 503 and the output device 504 can be connected through a bus or other means. In Figure 5, connection through a bus is taken as an example.

The input device 503 can receive input numeric or character information, and generate key signal input related to user settings and function control of electronic devices that implement the business data search method, such as touch screens, keypads, mice, trackpads, touchpads, and pointing sticks. , one or more input devices such as mouse buttons, trackballs, and joysticks. Output devices 504 may include display devices, auxiliary lighting devices (eg, LEDs), tactile feedback devices (eg, vibration motors), and the like. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.

Various implementations of the systems and techniques described herein may be implemented in digital electronic circuitry, integrated circuit systems, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include implementation in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor The processor, which may be a special purpose or general purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device. An output device.

These computing programs (also referred to as programs, software, software applications, or code) include machine instructions for programmable processors, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine language Calculation program. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or means for providing machine instructions and/or data to a programmable processor ( For example, magnetic disks, optical disks, memories, programmable logic devices (PLD)), including machine-readable media that receive machine instructions as machine-readable signals. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having a display device (eg, a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user ); and a keyboard and pointing device (eg, a mouse or a trackball) through which a user can provide input to the computer. Other kinds of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and may be provided in any form, including Acoustic input, voice input or tactile input) to receive input from the user.

The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., A user's computer having a graphical user interface or web browser through which the user can interact with implementations of the systems and technologies described herein), or including such backend components, middleware components, or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communications network). Examples of communication networks include: local area network (LAN), wide area network (WAN), the Internet, and blockchain networks.

Computer systems may include clients and servers. Clients and servers are generally remote from each other and typically interact over a communications network. The relationship of client and server is created by computer programs running on corresponding computers and having a client-server relationship with each other.

According to the technical solution of the embodiment of this application, the fields configured by different business parties according to their own business needs are obtained based on the universal search module, and the business data uploaded by the business parties are obtained at the same time, and the business is constructed based on the fields configured by each business party and the business data. Index information to facilitate user search, thus ensuring that the business search module can be used by different business parties to meet the personalized customization needs of different business parties. Moreover, by deploying the business search module in the business side's own server, the business side data leakage is avoided and the business side data security is ensured.

It should be understood that various forms of the process shown above may be used, with steps reordered, added or deleted. For example, each step described in the present application can be executed in parallel, sequentially, or in a different order. As long as the desired results of the technical solution disclosed in the present application can be achieved, there is no limitation here.

The above-mentioned specific embodiments do not constitute a limitation on the scope of protection of the present application. It will be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions are possible depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application shall be included in the protection scope of this application.

Claims (8)

1. A service data searching method, characterized in that it is executed by a service searching module in a service server; the method comprises the following steps:

acquiring user search information;

determining a search result according to the user search information and the service index information;

the service searching module is constructed in the following manner: acquiring field configuration information of a service party through a universal search module in the service server; the field configuration information comprises that each service party configures corresponding fields in an interface document according to own service requirements; acquiring service data of a service party through the universal search module; wherein, the business data is data submitted or modified by a business party; the field configuration information and the service data are used for adjusting the general search module to the service search module;

wherein the method further comprises:

writing the acquired field configuration information into a field database of the universal search module through an initialization interface of the universal search module;

writing the acquired service data into a service data queue of the universal search module through a data processing interface of the universal search module;

the service data in the service data queue is issued to an index unit through a service management unit of a general search module;

acquiring field configuration information from the field database through the index unit, and constructing service index information according to the acquired field configuration information and the received service data;

the field configuration information comprises a query field and an auxiliary field; the auxiliary field includes at least one of: screening field, right-raising field, sorting field, aggregation field and marking field;

determining search results according to the user search word and the business index information, including:

determining a preliminary search result according to the user search information belonging to the query field and the service index information;

processing the preliminary search results according to the user search information belonging to the auxiliary field;

wherein determining preliminary search results according to the user search information belonging to the query field and the business index information comprises: matching the user search information with the query fields, and determining the correlation between the user search information and each query field; determining a target query field to which the user search information belongs according to the correlation; determining service data associated with the target query field as a preliminary search result based on the service index information;

processing the preliminary search results according to the user search information belonging to the auxiliary field, including: performing correlation calculation on the user search information and the auxiliary field, and determining a target auxiliary field to which the user search information belongs; and processing the primary selection result based on the target auxiliary field to obtain a final search result.

2. The method according to claim 1, wherein the method further comprises:

acquiring resource data of a service search module from a third party;

and deploying the service searching module into a service side server according to the resource data of the service searching module.

3. The method of claim 1, wherein determining search results based on the user search information and business index information comprises:

the user search information is sent to a query analysis module of a third party and used for indicating the query analysis module to analyze the user search information;

and determining search results according to the analyzed user search information and the business index information.

4. The service searching device is characterized by being configured in a service searching module of a service server; the device comprises:

a search information acquisition unit configured to acquire user search information;

a search result determining unit for determining a search result according to the user search information and the service index information;

the service searching module is constructed in the following manner: acquiring field configuration information of a service party through a universal search module in the service server; the field configuration information comprises that each service party configures corresponding fields in an interface document according to own service requirements; acquiring service data of a service party through the universal search module, wherein the service data is submitted or modified by the service party; the field configuration information and the service data are used for adjusting the general search module to the service search module;

the service searching module is specifically constructed in the following manner:

writing the acquired field configuration information into a field database of the universal search module through an initialization interface of the universal search module;

writing the acquired service data into a service data queue of the universal search module through a data processing interface of the universal search module;

the service data in the service data queue is issued to an index unit through a service management unit of a general search module;

acquiring field configuration information from the field database through the index unit, and constructing service index information according to the acquired field configuration information and the received service data;

the field configuration information comprises a query field and an auxiliary field; the auxiliary field includes at least one of: screening field, right-raising field, sorting field, aggregation field and marking field;

the search result determining unit is specifically configured to:

determining a preliminary search result according to the user search information belonging to the query field and the service index information;

processing the preliminary search results according to the user search information belonging to the auxiliary field;

wherein determining preliminary search results according to the user search information belonging to the query field and the business index information comprises: matching the user search information with the query fields, and determining the correlation between the user search information and each query field; determining a target query field to which the user search information belongs according to the correlation; determining service data associated with the target query field as a preliminary search result based on the service index information;

processing the preliminary search results according to the user search information belonging to the auxiliary field, including: performing correlation calculation on the user search information and the auxiliary field, and determining a target auxiliary field to which the user search information belongs; and processing the primary selection result based on the target auxiliary field to obtain a final search result.

5. The apparatus of claim 4, wherein the apparatus further comprises:

the resource acquisition module is used for acquiring resource data of the service search module from a third party;

and the deployment module is used for deploying the service searching module into the service side server according to the resource data of the service searching module.

6. The apparatus of claim 4, wherein the search result determination unit is further configured to:

the user search information is sent to a query analysis module of a third party and used for indicating the query analysis module to analyze the user search information;

and determining search results according to the analyzed user search information and the business index information.

7. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the business data search method of any one of claims 1-3.

8. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the business data search method of any one of claims 1-3.