CN1858733B - Information searching system and searching method - Google Patents

Abstract

The invention provides an information retrieval system, including: a search engine, a content index database provided to the search engine for searching, a user feature database, and a content analysis system. Correspondingly, an information retrieval method is also provided, including the following steps: performing retrieval according to the retrieval keyword input by the user to obtain the original retrieval result; obtaining the corresponding user's characteristic behavior information according to the user identifier and the current time, and the characteristic behavior information includes at least A characteristic behavior keyword; perform secondary retrieval on the original retrieval result according to the characteristic behavior keyword, and display the secondary retrieval result to the user. By using the present invention, users' searches can be filtered according to different characteristic behaviors shown by users in different time periods, and the accuracy and search efficiency of users' search for related information can be improved.

Description

Information Retrieval System and Retrieval Method

technical field

The invention relates to the technical field of information retrieval, in particular to an information retrieval system and retrieval method.

Background technique

Search engine refers to the system that can obtain web page information, build database and provide query. According to different working principles, search engines can be divided into two basic categories: Full Text Search Engine (FullText Search Engine) and Category Directory).

The database of a full-text search engine relies on a software called "Spider" or "crawlers", which automatically obtains a large amount of web page information through various links on the Internet, and analyzes and organizes it according to certain rules. Forming. Google and Baidu are typical full-text search engine systems. Usually, the query to a full-text search engine is referred to as searching "all websites" or "all websites", such as Google's full-text search (http://www.google.com/intl/zh-CN/).

Classified directories are manually collected and sorted out website information to form a database, such as Yahoo China and domestic Sohu, Sina, and NetEase classified directories. In addition, some navigation sites on the Internet can also be classified as original categories, such as "Website Home" (http://www.hao123.com/). Usually, the query on the classified directory is called searching "classified directory" or searching "classified website", such as "Sina Search" (http://dir.sina.com.cn/) and "Yahoo China Search" (http:/ /cn.search.yahoo.com/dirsrch/).

Full-text search engines and catalogs have their strengths and weaknesses in use. Because the full-text search engine relies on software, the capacity of the database is very large, but its query results are often not accurate enough; classification catalogs rely on manual collection and organization of websites, which can provide more accurate query results, but the collected content is very limited. . In order to learn from each other, many search engines now provide both types of queries at the same time. The integration of these two types of search engines has also produced other search services. Here, we also call them search engines. There are mainly two types:

1. Meta search engine (META Search Engine). Such search engines generally do not have their own web robots and databases, and their search results are displayed centrally on the same interface in a unified format by calling, controlling and optimizing the search results of other independent search engines. Although meta-search engines do not have "network robots" or "web spiders" and no independent index databases, they all have their own unique meta-search technologies in terms of search request submission, search interface proxy, and search result display. For example, "metaFisher Meta Search Engine" (http://www.hsfz.net/fish/), which calls and integrates data from multiple search engines such as Google, Yahoo, AlltheWeb, Baidu and OpenFind.

2. Integrated search engine (All-in-One Search Page). Integrated search engine is to link many independent search engines on a webpage through network technology. When querying, click or specify a search engine, input once, and multiple search engines will query at the same time, and the search results will be displayed on different pages by each search engine , such as "Internet Swiss Army Knife" (http://free.okey.net/%7Efree/searchl.htm).

Here I will introduce the working principle of search engines again. The "network robot" or "web spider" of a full-text search engine is a kind of software on the network. Links on the website collect webpage data from one webpage to another webpage and from one website to another website. In order to ensure that the collected data is up-to-date, it will also return to the web pages that have been crawled. Web pages collected by web robots or web spiders need to be analyzed by other programs, and a large number of calculations are performed according to a certain correlation algorithm to establish a web page index before being added to the content index database. The full-text search engine we usually see is actually just a search interface of a search engine system. When a keyword is entered for query, the search engine will find the index of all relevant web pages matching the keyword from the huge content index database. And presented to us according to certain ranking rules. Different search engines have different content index databases and different ranking rules. Therefore, when we use different search engines to query with the same keyword, the search results are also different.

Conventional search engines now automatically visit websites and sequentially track hypertext links therein through software-implemented tools and extract every file encountered in it by so-called "keywords" and mark each file in a large database. for subsequent visits.

Specifically, through this extraction, such documents are reduced, all semantic and syntactic information are extracted, but also words that have some content in the document. These content words may exist within the document itself or only within the description section of the document's Hypertext Markup Language (HTML). In either case, the engine creates an entry, a file record, for each such file. For each file, its content words are identified in a searchable data structure with a link back to the file record. The file record usually includes: a. a web address, that is, a URL (uniform resource locator, through which a web browser can access the corresponding file); The relative address of each such content word in relation to other content words of the file; c, a section summary of the file, usually only a few lines or the first few lines of the file; d, there may be provided in its HTML description section A description of the file.

When a user uses a search engine, he provides a keyword-based query to the engine, and the search engine attempts to find documents containing as many keywords as possible, and according to an operator or other specification (for example, a logical operation such as: and/or/not) ranges to find. For each such document it finds, the engine retrieves its document record and ranks it by the number of keyword matches in that document relative to other such documents to provide the record to the user.

At present, search engines simply respond to the keyword queries provided by users, and users may have different behaviors and habits at different times, so they have different needs, and the content information they hope to retrieve may be different, but now Some retrieval methods do not consider these situations to classify the search results of search engines.

Contents of the invention

In view of this, the main purpose of the present invention is to provide a system and method for searching user characteristic behaviors based on time, so that users' searches can be filtered according to different characteristic behaviors shown by users in different time periods, so as to achieve different A user searches for the same keyword to obtain different results, and the same user searches for the same keyword in different time periods to obtain different results, thereby improving the accuracy and efficiency of the user's search for relevant information.

The invention provides an information retrieval system, comprising: a search engine (12), a content index database (11) provided to the search engine for searching, and further comprising:

User characteristic database (14), saves the characteristic behavior information that the user has in different time periods;

The content analysis system (13) is used to obtain the search keyword input by the user terminal, and obtain the user identification simultaneously, and query the user characteristic database (14) according to the obtained user identification and the current search time to obtain the information related to the user identification and the current search time. The characteristic behavior information of the search time match; And search key word is sent to search engine (12) and saves the retrieval result information that search engine (12) searches out, carries out the retrieval result information that preserves according to the described characteristic behavior information that obtains Search and sort again, and send the search results after re-search and sort to the user terminal for display, including:

The data transceiving unit (131) is used to realize the interaction with the user terminal, receives the search keyword input by the user terminal and sends it to the search engine interface (132), and sends the user identification to the time analysis unit (133);

Search engine interface (132), is used for sending the search key word that data transceiving unit (131) sends over to search engine (12), and the search result that receives search engine (12) is sent to retrieval data storage unit (135);

Retrieval data storage unit (135), for storing the search results of the search engine (12) sent by the search engine interface (132), to provide to the retrieval analysis unit (134);

The time analysis unit (133) is used to receive the user identification sent by the data transceiver unit (131) and determine the current search time, and retrieve the user feature database (14) accordingly to obtain the correspondence between the user identification and the current search time. The characteristic behavior information of is provided to the retrieval analysis unit (134);

A retrieval analysis unit (134), configured to receive the characteristic behavior information sent by the time analysis unit (133), and perform secondary retrieval filtering and/or sorting on the search results stored in the retrieval data storage unit (135) accordingly , and send the filtered and/or sorted retrieval results to the data transceiving unit (131) to be returned to the user terminal.

Wherein, the user characteristic database (14) includes:

The time period information table is used to store different time period numbers corresponding to different time periods;

The characteristic behavior table is used to store keywords of different characteristic behaviors corresponding to different characteristic behavior numbers of users and/or subordinate keyword information of characteristic behaviors;

The matching table is used to store the characteristic behavior numbers corresponding to the user's different time period numbers.

Wherein, the user characteristic database (14) further includes: a personal user information table, which is used to store the personal information of the user.

The present invention also provides an information retrieval method, which pre-stores characteristic behavior information corresponding to user identification in different time periods, and further includes the following steps:

A, data transceiving unit (131) obtains the retrieval key word that user inputs, obtains user identification simultaneously, the search key word that user terminal input is sent to search engine interface (132), and user identification is sent to time analysis unit (133);

The search engine interface (132) sends the search keywords sent by the data transceiver unit (131) to the search engine (12), and the search engine (12) searches in the content index database (11) according to the search keywords to obtain the original search results , sent to the search engine interface (132), the original search result received by the search engine interface (132) is sent to the retrieval data storage unit (135) for preservation;

B, the time analysis unit (133) retrieves the user feature database (14) according to the obtained user identification and the current search time, and retrieves the characteristic behavior information corresponding to the user identification and the current search time, Provided to the retrieval analysis unit (134);

C. The retrieval analysis unit (134) receives the characteristic behavior information sent by the time analysis unit (133), and searches out the original retrieval result of the search engine (12) stored in the retrieval data storage unit (135) according to the characteristic behavior information Re-retrieval is performed, and the retrieval result including the characteristic behavior information is sent to the data transceiver unit (131), and the data transceiver unit (131) preferentially displays the received retrieval result to the user.

Wherein, the step of acquiring the user ID includes: receiving the user ID input by the user through the user terminal; or receiving the user ID entered by the user when logging into the system.

Wherein, the step of obtaining the current search time includes: obtaining the current search time provided from a local server or any computer device on the network.

Wherein, different characteristic behavior information is set with different priorities, and when re-retrieving in step C, it further includes: re-retrieving the original retrieval results searched by the search engine according to the different characteristic behavior information respectively; according to the characteristic behavior information The priority will sort the corresponding retrieval results after re-retrieval.

Wherein, the characteristic behavior information includes: characteristic behavior keywords and/or characteristic behavior subordinate keywords.

As can be seen from the above method, the solution provided by the present invention can carry out secondary screening and filtering on the original collection result records searched by the search engine according to the keyword input by the user according to the personalized characteristic behavior of the user corresponding to the time characteristic, and the The file record information that the user is really interested in is displayed to the user first, which improves the accuracy and search efficiency of the user's retrieval of relevant information.

Description of drawings

Fig. 1 is a system frame diagram of the information retrieval system of the present invention.

Fig. 2 is a frame diagram of the user characteristic database.

Figure 3 is a block diagram of the content analysis system.

Fig. 4 is a flow chart of realizing the retrieval process in the present invention.

Detailed ways

The present invention considers that users will have different characteristic behavior information in different time periods. Therefore, after the search engine obtains the retrieval results, it processes the retrieval results according to the user's characteristic behavior information corresponding to the current time period, and will meet the requirements of the user. The retrieval results of characteristic behavior information are displayed to users first, thereby improving the accuracy of search engine retrieval, and making the retrieval results provided to users closer to user needs.

The present invention will be described in detail below with reference to the accompanying drawings.

First, Fig. 1 shows an information retrieval system of the present invention, including a content analysis system 13, a user characteristic database 14, a search engine 12 and a content index database 11, wherein:

The content analysis system 13 is used to receive the user identification sent by the user terminal, the input search keyword and obtain the current time of the local server, and query the user characteristic database 14 to match the characteristic behavior of the user at this time period, and search engine 12 The searched pages are retrieved and filtered again, so that the retrieved pages are presented to the user in the order of the preference priority of the characteristic behavior exhibited by the user in the time period.

The user feature database 14 is used to store the user's feature behavior information, especially the user's feature behavior information in different time periods. The database will be described in detail later and will not be repeated here.

The search engine 12 is a text-based and keyword-based search tool that, after searching in the existing content index database 11, returns a list of required file pointers, with file titles, and usually some excerpts from the text of the file Descriptive text.

Content indexing database 11, by activating automatic programs implemented by software (such as "web spiders") to automatically visit websites and sequentially follow the hypertext links therein and extract each document encountered therein by means of so-called "keywords", And save in this database, provide to search engine 12 to visit.

Wherein, FIG. 2 is an embodiment of the user characteristic database 14, which can realize the preservation of characteristic behavior information of users in different time periods through but not limited to the following tables. The given personal user information table, time period information table, characteristic behavior table, and matching table are described in detail below.

The personal user information table is used to store the user's personal information, which may be the information entered by the user when registering. Table 1 below shows a user information table:

user ID username user gender  … U001 Zhang San male  … ... ... ...  …

Table 1

The time period information table is used to store different time period numbers corresponding to different time periods, and the time period number is for the convenience of searching the database, and at the same time, the setting of the time period is more flexible. Table 2 below shows a time period information table:

time period number period T001 0:00-1:00 ... ...

Table 2

The characteristic behavior table is used to store different characteristic behavior numbers corresponding to different characteristic behavior keywords of the user. A characteristic behavior keyword may also have subordinate keywords, which all belong to characteristic behavior information. A characteristic behavior table as shown in Table 3 below:

user ID Characteristic Behavior Number Characteristic Behavior Keywords Feature Behavior Dependent Keyword  … U001 C001 game Video games, computer games...  … U001 C002 music Classical, Orchestral...  … ... ... ...  …  …

table 3

The matching table is used to store the characteristic behavior numbers corresponding to different time period numbers of the user. Through this table, the relationship between Table 1, Table 2 and Table 3 is established, that is, the relationship between different time periods and characteristic behavior keywords/characteristic behavior subordinate keywords is established. Table 4 below shows a matching table:

user ID time period number Characteristic Behavior Number Feature priority  … U001 T001 C001 9  … U001 T001 C002 8  … ... ... ... ...  …

Table 4

The above Table 4 also includes a feature priority item, which is used to identify the priority of different feature behaviors of the user within a certain period of time. The example shown in Table 4 shows that: in the time period T001 of the user U001, the characteristic priority of the characteristic behavior number C001 is 9 higher than the characteristic priority of the characteristic behavior number C002 is 8, which means that the user U001 is in the time period T001 Among them, it is more inclined to show the characteristic behavior with the characteristic behavior number C001.

The data stored in the user characteristic database 14 may be provided by a system for collecting user business behavior characteristics. For the realization of the system for collecting user business behavior characteristics, please refer to the "system and method for collecting user business behavior characteristics" applied by the applicant. "invention.

FIG. 3 shows a frame diagram of the content analysis system 13 , including a data transceiving unit 131 , a search engine interface 132 , a time analysis unit 133 , a retrieval analysis unit 134 , and a retrieval data storage unit 135 . in:

The data transceiving unit 131 is used to realize the interaction with the user terminal, receive the search keyword input by the user through the user terminal and send it to the search engine interface 132 , and send the obtained user ID to the time analysis unit 133 .

The search engine interface 132 is used to realize the interaction with the search engine 12 , send the search keywords sent by the data transceiver unit 131 to the search engine 12 , and send the search results received by the search engine 12 to the retrieval data storage unit 135 .

The search data storage unit 135: stores the search results of the search engine 12 sent by the search engine interface 132, and provides them to the search analysis unit 134 for analysis.

The time analysis unit 133 is configured to receive the user identification sent by the data transceiving unit 131 and obtain the current search time, and search the user characteristic database 14 accordingly to obtain the characteristic behavior keyword information corresponding to the user identification and search time, and Provided to the retrieval analysis unit 134. The behavior characteristic keyword information may include but not limited to characteristic behavior keywords and characteristic behavior subordinate keywords.

The retrieval analysis unit 134 is configured to receive the characteristic behavior keyword information sent by the time analysis unit 133, and accordingly perform secondary retrieval filtering and/or sorting on the search results stored in the retrieval data storage unit 135, and filter And/or the sorted search results are sent to the data transceiving unit 131 to be returned to the user terminal for display to the user.

Referring to Fig. 3 below, and referring to the flow chart of the information retrieval system of the present invention shown in Fig. 4 to realize the retrieval process, the retrieval method of the present invention is described in detail, including the following parts:

Step 401: First, the user inputs the search keyword in the search engine provided by the user terminal according to the information to be queried, and may include a Boolean (such as "and" or "or") or Operators recognized by other search engines.

Assume in this example that the user inputs a search keyword "game" on the user terminal to request related information.

Step 402: The information is transmitted to the content analysis system 13 through the network, and the data transceiving unit 131 of the content analysis system 13 obtains the keyword information of the user query; meanwhile, the data transceiving unit 131 also obtains the user's identification, and the acquisition of the user identification can be It is input by the user through the user terminal, or it may be input when the user logs in when using the information retrieval system of the present invention.

Step 403: The data transceiving unit 131 sends the obtained keywords to the search engine interface 132, and sends the user identification information to the time analysis unit 133.

In this example, the data transceiving unit 131 sends the keyword “game” input by the user to the search engine interface 132; and sends the obtained user ID U001 to the time analyzing unit 133.

Step 404: The search engine interface 132 sends the obtained keyword of the user query to the search engine 12, and the search engine 12 retrieves relevant information in the content index database 11 according to the keyword, returns the result of the retrieval to the search engine interface 132, and then sends It is stored in the retrieval data storage unit 135 .

Step 405: The time analysis unit 133 finds matching relevant characteristic behavior data from the user characteristic database 14 according to the obtained user ID and current time information, and then sends it to the retrieval analysis unit 134 . The time information can be provided by the local server loaded with the content analysis system or provided by any computer device in the network, preferably provided by the local server here.

In this example, obtain the corresponding time period number T001 according to the time information; then retrieve the user's user behavior preference and priority at this moment from the above-mentioned table 4 of the user characteristic database 14 according to the user identification U001 and the time period number (C001 , 9), (C002, 8), ...; Obtain the user's characteristic behavior keyword and characteristic behavior subordinate keyword at the moment according to above-mentioned table 3 and be: game, electronic game, computer game,... ...; music, classical, orchestral, ...; these characteristic behavior keywords and related characteristic priorities of the user are sent to the retrieval and analysis unit 134 .

Step 406: The retrieval analysis unit 134 obtains the relevant retrieval results (such as page information) that the user has already searched for from the retrieval data storage unit 135 through the user identification, and then conducts a second search through the received characteristic behavior keywords and relevant characteristic priorities. The result information is retrieved and reordered, so that the page information that is really relevant to the user is displayed to the user first.

In this example, when performing secondary search and sorting on the search results, first use the characteristic behavior keywords with high priority (games, electronic games, computer games, ...) to search, and retrieve the results The file information is listed at the top; then the low priority feature behavior keywords (music, classical, orchestral,,,,,,,,,,,,,,,,,,,,,,,,,) are retrieved, and the retrieved file information is listed at the back; then the secondary The information of the original search result that does not include the characteristic behavior keyword is listed at the end. The retrieval process of these keywords is not described in detail in the present invention, and these technologies are included in every text retrieval system.

Step 407: The search and analysis unit 134 sends the search results after the secondary search and sorting to the data transceiver unit 131, and the data transceiver unit 131 sends the results of the secondary search and sorting (such as page information) to the user terminal for display to the user.

The retrieval scheme described above can be used in almost any information retrieval system to increase the search accuracy of the search engine therein, regardless of whether the engine is a conventional engine or not. In addition, the present invention also improves the accuracy of retrieving information from massive databases, no matter what language the text information uses, such as Chinese, English, French, German and so on.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of the present invention. within the scope of protection.

Claims (8)

1. information retrieval system comprises: search engine (12), offer the content index database (11) that search engine is searched for, it is characterized in that, also comprise:

User feature database (14) is preserved the characteristic behavior information that the user is had in different time sections;

Content analysis system (13); Be used to obtain the searching key word of user terminal input; Obtain ID simultaneously, according to ID that obtains and current inquiring user property data base search time (14) acquisition and the characteristic behavior information of mating said ID and said current search time; And searching key word is sent to search engine (12) and preserves the result for retrieval information that search engine (12) search is come out; According to the said characteristic behavior information that obtains the result for retrieval information of preserving is carried out retrieval ordering once more; Result for retrieval behind the retrieval ordering is once more sent to user terminal displays, comprising:

Data transmit-receive unit (131) is used to realize mutual with user terminal, and the searching key word that receives the user terminal input also sends to search engine interface (132), and ID is sent to time series analysis unit (133);

Search engine interface (132) is used for the searching key word that data transmit-receive unit (131) send over is sent to search engine (12), and the Search Results of reception search engine (12) sends to retrieve data storage unit (135);

Retrieve data storage unit (135) is used to preserve the Search Results of the search engine (12) that search engine interface (132) sends over, to offer retrieval analysis unit (134);

Time series analysis unit (133); Be used to receive the ID and definite current search time that data transmit-receive unit (131) sends over; And retrieval user property data base (14) in view of the above; Obtain said ID and current characteristic of correspondence behavioural information search time, offer retrieval analysis unit (134);

Retrieval analysis unit (134); Be used for the characteristic behavior information that time of reception analytic unit (133) sends over; And in view of the above the said Search Results of storing in the retrieve data storage unit (135) is carried out quadratic search filtration and/or ordering, and the result for retrieval after will filtering and/or sort sends to data transmit-receive unit (131) to return to user terminal.

2. system according to claim 1 is characterized in that, said user feature database (14) comprising:

The time period information table is used to store the corresponding different time segment number of different time sections;

The characteristic behavior table is used to store the key word of the corresponding different character behavior of user's different characteristic behavior numbering and/or the subordinate keyword message of characteristic behavior;

Matching list is used to store user's the pairing characteristic behavior numbering of different time segment number.

3. system according to claim 2 is characterized in that, said user feature database (14) further comprises: the personal user information table is used to store user's personal information.

4. an information retrieval method is characterized in that, preserves ID in advance in different time sections characteristic of correspondence behavioural information, and is further comprising the steps of:

A, data transmit-receive unit (131) obtain the search key of user's input, obtain ID simultaneously, and the searching key word that user terminal is imported sends to search engine interface (132), and ID is sent to time series analysis unit (133);

The searching key word that search engine interface (132) sends over data transmit-receive unit (131) sends to search engine (12); Search engine (12) is retrieved in content index database (11) according to search key and is obtained original result for retrieval; Send to search engine interface (132), the original result for retrieval that search engine interface (132) will receive sends to retrieve data storage unit (135) and preserves;

B, time series analysis unit (133) are according to ID that obtains and current search time; And retrieval user property data base (14) in view of the above; Retrieve and said ID and said current characteristic of correspondence behavioural information search time, offer retrieval analysis unit (134);

The characteristic behavior information that C, retrieval analysis unit (134) time of reception analytic unit (133) send over; According to said characteristic behavior information the original result for retrieval that the search engine of storing in the retrieve data storage unit (135) (12) searches out is retrieved once more; The result for retrieval that will comprise said characteristic behavior information sends to data transmit-receive unit (131), and data transmit-receive unit (131) preferentially are shown to the user with the result for retrieval that receives.

5. method according to claim 4 is characterized in that, the said step of obtaining ID comprises: receive the ID of user through the user terminal input; Or,

The ID of typing when receiving the User login system.

6. method according to claim 4 is characterized in that, the said step of obtaining current search time comprises: arbitrary computer equipment obtains the current search time that provides on home server or the network.

7. method according to claim 4 is characterized in that the different characteristic behavioural information is provided with different priority, when step C retrieves once more, further comprises:

The retrieval once more of the original result for retrieval that search engine searches is gone out according to said different characteristic behavioural information respectively;

Sort according to the priority of the said characteristic behavior information result for retrieval after with the retrieval once more of correspondence.

8. method according to claim 4 is characterized in that, described characteristic behavior information comprises: characteristic behavior key word and/or characteristic behavior subordinate key word.

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