KR101274295B1

KR101274295B1 - Method and system for adding automatic indexing word to search database using directory

Info

Publication number: KR101274295B1
Application number: KR20070029455A
Authority: KR
Inventors: 양주영
Original assignee: 엔에이치엔(주)
Priority date: 2007-03-26
Filing date: 2007-03-26
Publication date: 2013-06-13
Also published as: KR20080087357A

Abstract

The present invention relates to a method and system for automatic index addition of a search database. In accordance with an aspect of the present invention, a method for automatically adding an index word to a search database may include receiving a search query from a user, providing at least one result document indexed to the search query from a search database, and at least one result document from the user. Receiving a selection request for at least one of the result documents, and adding the search query to the search database as an index word of the result document designated as the same classification as the selected result document.

Search database, search query, index word, user log tracking, classification, related query

Description

Method and system for automatic index addition of search database using classification {METHOD AND SYSTEM FOR ADDING AUTOMATIC INDEXING WORD TO SEARCH DATABASE USING DIRECTORY}

1 is a diagram for explaining a result document provided to a user when a structure of a search database and a search query are input in the present invention.

2 is a diagram for a process of adding an automatic index word of a search database based on user log tracking according to one embodiment of the present invention.

FIG. 3 (a) illustrates a case in which a first search query is added as an index of a second result document selected by a user when a correlation exists between the first search query and the second search query according to an embodiment of the present invention. The figure which shows.

FIG. 3 (b) is a diagram illustrating a case in which a first search query is temporarily stored as a potential index word and added to the index word later when the inspection criteria is met.

FIG. 3 (c) automatically adds a first search query directly to an index word of a second result document when there is no click for a certain period of time for the first search query added to the index word. The figure which shows the case where it disappears.

4 is a diagram illustrating a process of adding a first search query to an index word of a second result document selected by a user according to one embodiment of the present invention.

FIG. 5 is a flowchart illustrating a method of adding an automatic index word of a search database using the same classification according to another embodiment of the present invention.

FIG. 6 is a diagram illustrating a process of adding a search query to an index word of a result document designated by the same classification as a result document selected by a user and expanding the search query according to another embodiment of the present invention.

FIG. 7 is a flowchart illustrating a method for automatically adding an index word to a search database using a related search word according to another embodiment of the present invention.

FIG. 8 is a diagram for a process of adding a related search query of a search query to an index word of a result document selected from a user and expanding the search query according to another embodiment of the present invention.

FIG. 9 is a diagram illustrating an automatic index word adding system of a search database according to an embodiment of the present invention.

Description of the main parts of the drawing

902: search database

903: search query input unit

904: Result document provider

905: Selection request receiving unit

906: index addition part

The present invention relates to a method and system for automatically adding an index to a search database. More specifically, when a user inputs a search query and searches the user's log, using the user's log tracking, a result document of the same classification, and a related search query The present invention relates to a method and system for adding a user-entered search query to a result document stored in a search database.

When a user inputs a search query in a search box to search, an appropriate search result may be exposed when a search query having a search result in which a result document for the search query is input in a search database is used as an index. However, in the case of a so-called internally built database that is indexed by an editor managing the system, it is unexpectedly overlooked to process an appropriate index word in the result document or an error occurs and appropriately responds to the user's accurate and fast search request. There was a problem that can not.

For example, if a user who wants to search for "badminton racket" enters "racquet" as a search query, and the search result is exposed as a result document consisting only of "tennis racket", "squash racket" and "table tennis racket" Again, the trouble was to search for a combination of badminton and rackets together. In particular, in the above example, when "racquet" and "badminton racket" are related to a search query to some extent, as in the upper and lower relations, if only one of the search queries is treated as an index of the result document, the search result is narrowed. As a result, it was difficult to expose more detailed results, which resulted in a problem of satisfying the user's desired search result.

Even if a large number of result documents are stored in the search database, users may be forced to repeatedly search if the indexing process is not done properly or is missing. Problems arise that require time and effort.

The present invention proposes a method for adding an automatic index to a search database using a user log tracking, the same classification, a related search term, and a system for performing the method to solve the problems of the related art.

According to the present invention, when a user selects a result document exposed for a search query input by a user, the search query is added to the result document as an index word, and when a search of another user is made later, a more accurate and wider search result can be obtained. It aims to provide.

Another object of the present invention is to improve the user's satisfaction with the search as the classification is subdivided by adding index terms in the chain of different result documents.

In order to achieve the above object and to solve the problems of the prior art, the method for adding an automatic index of the search database according to an embodiment of the present invention, receiving a first search query (query) from the user, the first search query from the search database; Providing at least one first result document indexed by a search query, receiving a second search query following the input of the first search query from the user, and indexing the second search query from the search database Providing at least one second result document, receiving a selection request for at least one result document of the at least one second result document from the user, and transmitting the first search query to the search database. And adding to the index word of the at least one selected second result document.

According to an aspect of the present invention, the step of adding the first search query to the search database as an index of the selected at least one second result document has a correlation between the first search query and the second search query. The method may include determining whether the information is true and adding the first search query to the search database as an index of the selected at least one second result document when the correlation is established.

According to another embodiment of the present invention, receiving a search query from a user, providing at least one result document indexed by the search query from a search database, at least one of the at least one result document from the user Receiving a selection request for a result document and adding the search query to the search database as an index word of a result document designated by the same classification as the selected result document.

According to still another embodiment of the present invention, a user inputs a search query, providing at least one result document indexed with the search query from a search database, and at least one of the at least one result document from the user. Receiving a selection request for the result document of the and may include the step of adding the associated search query of the search query stored in the search database as the index word of the selected result document.

An automatic index word adding system of a search database according to an embodiment of the present invention includes a search database for storing and maintaining an index word and a result document, a search query input unit for receiving and storing a first search query and a second search query from a user, and A result document providing unit for providing at least one first result document indexed with the first search query from a search database and at least one second result document indexed with the second search query, the at least one first document from the user 1 is a selection request receiver for receiving a selection request for at least one of a result document and a second result document, and an index word for adding the first search query as an index of the at least one selected second result document to the search database. It may include wealth.

Hereinafter, various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

As shown in Figure 1, the search database 101 is composed of a result document database 102, the result document 103, which is a unit database is stored therein. In other words, the search database 101 may be referred to as a large database formed by gathering respective unit databases.

Each result document 103 has an index word (Tag), which is a word that can be exposed to a search result as information, and when a user inputs a search query, a search robot collects the result document 103 collected inside the search database 101. ) Can be searched to provide the user with appropriate search results. For example, when the user enters query2 105 as a search query in the search box of the search interface 104, the query2 105 is recognized as an index term 2 and the result of the search interface 104 is stored in the search database 101. D5, D6, D7, and D8, which are result documents 106 having index word 2 as information in the result document 103, are exposed. If the exposed result document 106 is the desired result, there is no problem when clicking to select it, but if the desired result is not exposed, there is a problem of re-searching by inputting another search query, and the present invention solves the problem. It is to improve the user's search satisfaction by adding a search query to the index.

According to the present invention, it can be seen that the user inputs a second search query consecutively within a short time after the user inputs the first search query to some extent between the two search queries.

In step S201, a first search query is first input from a user, and in step S202, a first result document indexed as a first search query from the search database 101 is provided to the user. In this case, the number of first result documents may vary depending on the result document database 102 indexed by the first search query of the search database 101 and may be one or plural.

In step S203, the second search query is continuously input to the input of the first search query from the user, and in step S204, the second result document indexed as the second search query from the search database 101 is provided to the user. do. Here, in one embodiment, the user may select the first result document and subsequently enter the second search query to search. However, in view of the object of the present invention, the user may select the first result document and index the first result document. It is more likely that a second search query is input continuously without a click. In this case, the number of second result documents may vary depending on the result document database 102 indexed by the second search query of the search database 101.

In step S205, a selection request for at least one result document from the second result document is received from the user. In other words, the user selects a desired result document from the provided result documents. In this case, one or more result documents may be selected.

In operation S206, the first search query may be added to the search database as an index of the selected second result document. Even if a user selects a second result document by inputting a second search query successively without selecting a result document for the first search query, it is not always considered that there is some relation between the two search queries. The question arises whether it is possible to add a search query directly to the index word of the second result document. Therefore, when determining whether to add, it is necessary to set and adjust appropriate criteria. Reference settings and methods for adding the first search query to the index word of the second result document selected by the user will be described in detail with reference to FIGS. 3A, 3B, and 3C.

FIG. 3 (a) illustrates a case in which a first search query is added as an index of a second result document selected by a user when a correlation exists between the first search query and the second search query according to an embodiment of the present invention. The figure which shows. Referring to step S206 in more detail, it is determined whether a correlation is established between the first search query and the second search query (S301), and if the correlation is established between the two search queries, In operation S302, the first search query may be added to the index word of the selected second result document.

In one embodiment, there are four ways to determine whether there is a correlation. First, it can be said that a correlation is established when the first search query and the second search query satisfy an associated query condition. The association query condition generates the search query statistical information by measuring the frequency according to various features among the search query, the search query, the search query classification, or the result document classification associated with the result document set, and uses the vector, random variable, and combined probability distribution. By formulating and interpreting search query statistics information, the relationship between the search queries can be expressed as a numerical search query association, and the degree of association between the first search query and the second search query is constant based on the search query association. If it is higher than the threshold, it can be determined that the correlation query condition is satisfied and the correlation is established between the two search queries.

Second, correlation may be established when the first search query includes the second search query or when the second search query includes the first search query. It refers to the case where there is an inclusive relation between both search queries. For example, when the first search query is "Latin dance" and the second search query is "Latin dance group," the first search query includes the second search query. The correlation between the two can be judged. In addition, when the first search query is a "camera lens" and the second search query is a "camera peripheral", since the second search query includes the first search query, it may be determined that the correlation therebetween is also established.

Third, it can be said that the correlation holds when the first search query and the second search query include the same word. For example, when the first search query is "ballard music" and the second search query is "ballard song", it is determined that the correlation is established because the first search query and the second search query include the same "ballard". can do.

Fourth, it can be said that a correlation is established when a search pattern from the first search query to the second search query occurs at a frequency equal to or greater than a predetermined reference value. The reference value is a numerical value by dividing the pattern for searching by inputting the first search query followed by the second search query by time, daily, monthly, and year. In this case, there should be a meaningful search pattern, which assumes that there is some relation between the two search queries.

3 (b) is a diagram illustrating a case in which a first search query is not immediately added as an index word but temporarily stored as a potential index word and added as an index word when satisfying a test criterion later. to be. More specifically, in step S206, storing the first search query as a potential index word of the selected second result document in a search database, and storing a potential index word satisfying a predetermined inspection criterion in the selected second result document. It can be seen as a step (S304) of adding to the index word. In other words, the first search query is not automatically added to the index, but stored in the potential index term field for later addition, and the index inside the database periodically or irregularly adds the stored potential index term that meets certain criteria. can do. At this time, the frequency of the potential index word actually used as the index word of the second search document can be determined by a certain inspection criterion.

FIG. 3 (c) automatically adds a first search query directly to an index word of a second result document when there is no click for a certain period of time for the first search query added to the index word. The figure which shows the case where it disappears. If the first search query is not selected for a predetermined period of time in step S206, the step S305 may be added to delete the index word from the search database. It is a post-validation method that can be added to the index word first, and then automatically deleted if the number of times the user enters the first search query to search the second result document for a certain period is less than the criteria set in the database. .

First, when a user enters a first search query query1 in a search box, a search result 401 for the first result document is displayed. In the search database 101 described in FIG. 1, since the result documents divided by the index word 1 are stored as D1, D2, D3, and D4, the result documents processed by the index word 1 corresponding to query1 are D1, D2, D3, D4 appears as a search result 401 for the first result document. At this time, it is assumed that the user has no response such as a click on the first result documents.

When a user continuously inputs a second search query query2 into a search box, a search result 402 for the second result document is displayed. In the search database 101, the result documents D5, D6, D7, and D8 processed by the index term 2 are displayed as the search result 402 for the second result document. At this time, it is assumed that the user clicks on D6 and D8 to select.

Then, it can be seen that the first search query is added to the index word for D6 and D8 selected by the user in the result document database 403 processed by the index word 2 of the search database 101. In this case, a specific method of adding the first search query to the index word of the second result document selected by the user may be classified according to the detailed conditions described with reference to FIGS. 3A, 3B, and 3C.

FIG. 5 is a flowchart illustrating a method of adding an automatic index word of a search database using the same classification according to another embodiment of the present invention. It is a method of automatic index word addition using classification by adding index word to the result document processed by the same index word.

The same classification here refers to a set with the same directory for search results. For example, the baseball team Lotte Giants has a directory called "Leisure, Sports> Baseball> Professional Baseball> Lotte Giants" in the search database 101. If set, the result documents searched in the directory belong to the same category.

If a search query is input from the user in step S501, the result document indexed by the search query is provided to the user from the search database 101 in step S502.

Then, in step S503, the user receives a selection request for at least one of the result documents from the user, and in step S504, the search query is performed by the index word of the result document designated by the same classification as the result document selected by the user. Add

In step S504, the conditions and methods described in detail with reference to FIGS. 3A, 3B, and 3C may be applied in the same manner. There are three ways to add a search query to the search database 101 as an index of the result document designated by the same classification as the result document selected by the user. The first method simply adds a search query as an index of the result document designated with the same classification as the selected result document. The second method stores the search query as a potential index and then the index word if the editor satisfies certain criteria. The third method is to add the index word automatically, but if the user has not selected the search query for a certain period of time, the index word is automatically deleted.

In addition, a method of extending using an automatic index word adding method of the search database based on the user log tracking described in FIG. 2 may also be applied. That is, the first search query is a method of adding an index word to other result documents in the same category as the second result document. This can be said that the more granular and accurate the classification, the better.

The overall process is almost similar to the process mentioned in FIG. 2, except that the search query is added to other result documents in the same category as the result documents indexed with the search query without receiving the search query continuously from the user. There is a difference in that. Hereinafter, an automatic index term adding method and an extension method using classification will be described in detail with reference to FIG. 6.

The process of adding a search query as an index word of a result document designated by the same classification as the result document selected by the user starts with a search result 602 for query3 entered by the user as a search query. The result documents D9, D10, D11, and D12 processed by index 3 corresponding to query3 are provided as search results in the search database 101. Then, if the user selects D9 and D12, index 3 is added to D123, D92, D93 and D12 belonging to the same classification as D9, and D123, D124 and D125, respectively, to be classified as the same as the result document D9. This can be obtained through the result document database 603 belonging to and the result document database 605 belonging to the same category as the result document D12.

The method of expanding by applying the automatic index addition method based on the user log tracking starts with the search result 601 for query1 entered by the user as a search query. The result documents D1, D2, D3, and D4 processed by index 1 corresponding to query1 are provided from the search database 101. If the user enters query3 without selecting the result document for query 1, the result documents D9, D10, D11, and D12 processed by index 3 corresponding to query3 are provided from the search database 101 and searched for query3. Appear in search result 602. In this case, for the D9 and D12 selected by the user, the index document 3 is assigned to the result documents 604, D91, D92, and D93, which belong to the same category as D9, and to the result documents 606, D123, D124, and D125, which belong to the same category as D9. And it can be seen through the database 603 belonging to the same classification as D9 and the database 605 belonging to the same classification as D12 that index word 1 corresponding to query1 is added together. Therefore, the result documents belonging to the same category as D9 and D12 can be added not only to the search query entered by the user, but also to query 1, which is the search query entered by the user.

When the search query is input from the user in step S701, the search result 101 indexed by the search query from the search database 101 is provided to the user.

Then, in step S703, a request for selecting at least one of the result documents is received from the user, and in step S704, the associated search query of the search query is added to the search database 101 as an index of the selected result document.

In step S704, the conditions and methods described in detail with reference to FIGS. 3A, 3B, and 3C may be applied in the same manner. There are three ways to add the related search query of the search query to the search database 101 as the index word of the result document selected by the user. The first method simply adds the related search query of the search query as the index of the selected result document, and the second method stores the related search query as the potential index and then adds it as index if the editor meets certain criteria. The third method is to automatically add the index word, but if the user has not selected the search query for a certain period of time, the index word is automatically deleted.

In addition, the method of adding the related search query of the search query to the index word of the result document selected by the user may be extended by using the automatic index word adding method of the search database using the classification described in FIG. 5. That is, when adding a search query input by a user as an index word of a result document belonging to the same category as the result document for the search query, not only the search query entered in the search database 101 but also the related search query of the search query as the index word. How to add If you add the related search query of the search query as an index of the result document, more result documents can be exposed for the search query, so users can search more quickly and accurately. Hereinafter, an automatic index addition method and an extension method thereof will be described in detail with reference to FIG. 8.

The process of adding the relevant search query of the search query to the search database 101 as an index of the result document selected by the user starts with the search result 801 for the query3 input by the user. The result documents D9, D10, D11, and D12 processed by index 3 corresponding to query3 are provided as search results from the search database 101. In this case, it is assumed that the associated search query of query3, which is the search query corresponding to index 3, is query1 and query4, respectively. Then, if the user selects D10 and D11 from the search results, index 1 and index 4 corresponding to query1 and query4, which are related search queries of the search query query3, are added to the selected result documents D10 and D11, respectively, as index 3 This can be seen through the database 802.

The method of extending and applying the automatic index word adding method using classification may be described in the database 803 processed by the index word 26 and the database 805 processed by the index word 30. That is, when a user enters a search query query3 and selects D10 and D11 from among the result documents D9, D10, D11, and D12 processed with the index word 3 corresponding to the query3 provided from the search database 101, not only the selected D10 and D11 but also D10 Index 1 corresponding to query1 and query 4, which are the related search queries of the search query, also in the result documents 804, D101, D102, D103, and D11, which belong to the same classification as the result documents 804, D111, D112, which belong to the same classification. And index 4 are added to the index of the result document belonging to the same classification of D10 and D11, respectively. As a result, not only the search query input by the user but also the related search query of the search query can be added as an index word of the result document, thereby increasing the width of the search result and providing a more accurate search result, thereby improving the user's search satisfaction. have.

9 is a block diagram illustrating an automatic index word adding system of a search database according to an embodiment of the present invention.

The automatic index word adding system 901 of the search database includes a search database 902, a search query input unit 903, a result document providing unit 904, a selection request receiving unit 905, an index word adding unit 906, and a potential index word unit ( 907 and the inspector 908.

In the case of using the user log tracking, the same classification of the result document, and the associated search query of the search query, the configuration of the automatic index term adding system 901 of the search database is almost the same as that shown in FIG. It will be different so I will explain them separately.

The search database 902 may function to store and maintain a result document in which index terms are processed. Specifically, referring to FIG. 1, the search database 902 includes a result document database 102, and the result document database 102 stores a result document 103 that is a unit database. In other words, the search database 902 may be a large database formed by gathering respective unit databases. In addition, a search index 907, which is a space for temporarily storing a search index as a potential index word, and a check unit 908 for determining whether the potential index word satisfies a certain inspection criteria, may be included instead of immediately adding a search query as an index word of a result document. have.

The search query input unit 903 may receive and store a search query by providing a search interface to the user 909 in the automatic index word adding system 901 of the search database. In the case of based on the user log tracking, the search query is continuously input from the user 909. However, in the case of using a classification or a related search word, the search query may be input once. However, in the case of using classification as an exception, when expanding based on user log tracking, a search query may be continuously input.

The result document providing unit 904 may provide a result document in which an index word corresponding to a search query received from a user has been processed, from the search database 902. In other words, it serves to provide the user with at least one result document indexed by the search query from the search database 902. In this case, if the user log tracking or classification is used, but the exception is extended, all result documents for each successive search query may be provided. In addition, simply using classification or related search terms may be provided. In this case, all the result documents for the entered search query can be provided. The provided result document may be one or plural depending on the state stored in the search database.

The selection request receiving unit 905 serves to receive a selection request for the document selected by the user 909 among the provided result documents. Based on the user log tracking, the user can receive a selection request of the user 909 for the result documents for the first search query and the second search query. A selection request of the user 909 may be received for the result document. In general, the user's selection request may be that the user 909 clicked on the result document, and there may be one or a plurality of selection requests among the provided result documents.

The index word adding unit 906 adds a search query to the search database 902 as an index word of the result document selected by the user.

When adding an index word based on user log tracking, the first search query may be added as an index word of at least one selected second result document. In this case, the index word adding unit 906 may be divided into three types, and the detailed method may be referred to in (a), (b) and (c) of FIG. 3. Here, the correlation determination unit in the system is responsible for determining whether a correlation is established between the first search query and the second search query, and since this part is performed under a special condition among those based on the user log tracking, FIG. The illustration is omitted.

In the case of adding the index word using the classification, the index word adding unit 906 may add the search query input by the user to the index word of the result document designated by the same classification as the selected result document. At this time, since the index word adding unit 906 adds or expands to the index word using the classification, it will be omitted in FIG. 5 and FIG. 6.

When the index word is added using the related search word, the index word adding unit 906 may add the related search query of the search query as the index word of the result document selected by the user 909. At this time, since the index word adding unit 907 adds or expands to the index word using the related search word, it will be omitted in FIG. 7 and FIG. 8.

The potential indexing unit 907 functions to temporarily store the search query as a potential index rather than storing the search query as an index of the result document directly in the search database 902. In other words, it may be referred to as a space temporarily added to the index word to see if the user satisfies a certain inspection criteria before adding the search query to the search database 902 as the index word.

The inspector 908 periodically or irregularly determines whether the potential index word stored in the potential index word unit 907 satisfies a predetermined inspection criterion set in the system. It adds index words.

The automatic index word adding method of the search database according to the present invention can be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

According to the present invention, it is possible to provide a method and system for automatically adding an index to a search database using user log tracking, same classification, and related search terms.

According to the present invention, when there is a selection of the result document exposed for the search query input by the user, the search query is added to the result document as an index word, and when there is another user's search later, a more accurate and wider search result Can be provided.

According to the present invention, by adding a search query to the search database in a chain of index words of the result document, as the classification is subdivided, the user's satisfaction with the search can be improved.

Claims

Receiving a search query from a user;

Providing at least one result document indexed by the search query from a search database;

Receiving a selection request for at least one of the at least one result document from the user; And

Adding the search query to the search database as an index of the result document designated by the same classification as the selected result document.

How to add an automatic index of the search database that includes.

The method of claim 1,

The step of adding the search query to the search database as an index of the result document designated by the same classification as the selected result document,

Storing the search query in the search database as a potential index word of a result document designated by the same classification as the selected result document; And

Adding the potential index word that satisfies a certain inspection criterion to an index word of the result document designated as the same classification as the selected result document;

How to add an automatic index of the search database that includes.

The method of claim 1,

Deleting the search query added to the index word from the search database if the search query is not selected for a predetermined period of time.

How to add an automatic index of the search database that includes more.

Receiving a second search query before a predetermined time elapses from the time when the first search query is input from the user;

Providing at least one result document indexed by the second search query from a search database;

Receiving a selection request for at least one of the at least one result document from the user;

Determining whether a correlation exists between the first search query and the second search query; And

If there is a correlation between the first search query and the second search query, adding the first search query to the search database as an index of the result document designated as the same result as the selected result document or the selected result document.

How to add an automatic index of the search database that includes.

Receiving a search query from a user;

Adding an associated search query of the search query to an index word of a result document designated in the same category as the selected result document;

How to add an automatic index of the search database that includes.

The method of claim 5,

The step of adding the associated search query of the search query to the index word of the result document designated in the same category as the selected result document,

Storing the related search query of the search query as a potential index word of the result document designated with the same classification as the selected result document; And

Adding the potential index word that satisfies a predetermined inspection criterion to an index word of a result document designated as the same classification as the selected result document;

How to add an automatic index of the search database that includes.

The method of claim 5,

Deleting the related search query added to the index word from the search database if the related search query of the search query is not selected for a predetermined period of time;

How to add an automatic index of the search database that includes more.

Receiving a search query from a user;

Adding an associated search query of the search query to the search database as an index of the selected result document;

How to add an automatic index of the search database that includes.

9. The method of claim 8,

The step of adding an associated search query of the search query to the search database as an index of the selected result document,

Storing the relevant search query of the search query in the search database as a potential index of the selected result document; And

Adding the potential index word that satisfies a certain inspection criterion to the index word of the selected result document;

How to add an automatic index of the search database that includes.

9. The method of claim 8,

Deleting the associated search query added to the index from the search database if the related search query of the search query is not selected in the search database for a predetermined period of time;

How to add an automatic index of the search database that includes more.

delete

A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 10.

A search query input unit for receiving a search query from a user by providing a search interface;

A result document providing unit for providing at least one result document indexed with the search query from a search database for storing and maintaining an index word processed result document;

A selection request receiving unit which receives a selection request for at least one result document of the at least one result document from the user; And

An index word adding unit for adding the search query to the search database as an index of a result document designated by the same classification as the selected result document

Automatic indexing system of the search database that includes.

16. The method of claim 15,

A potential indexer for storing and maintaining a search query as a potential index of the result document; And

A inspecting unit that determines whether the potential index word satisfies a certain inspection criteria

More,

The index word adding unit,

And the inspector adds the potential index word that satisfies a predetermined inspection criterion to the index word of the result document designated by the same classification as the selected result document.

16. The method of claim 15,

The index word adding unit,

And the search query added to the index word is deleted from the search database when the search query is not selected for a predetermined period of time.

A search query input unit that receives a second search query before a predetermined time elapses from a time when the first search query is input from the user;

A result document providing unit for providing at least one result document indexed by the second search query from a search database;

A selection request receiving unit which receives a selection request for at least one result document of the at least one result document from the user;

It is determined whether there is a correlation between the first search query and the second search query. If a correlation exists between the first search query and the second search query, the first search query is stored in the search database. Index word adding unit for adding the index word of the selected result document or the result document designated by the same classification as the selected result document

Automatic indexing system of the search database that includes.

A search query input unit for receiving a search query from a user;

A result document provider for providing at least one result document indexed by the search query from a search database;

An index word adding unit for adding an associated search query of the search query to an index word of a result document designated by the same classification as the selected result document

Automatic indexing system of the search database that includes.

20. The method of claim 19,

The index word adding unit,

And when the associated search query of the search query is not selected for a predetermined period of time, the associated search query added to the index word is deleted from the search database.

An index word adding unit that adds an associated search query of the search query to the search database as an index of the selected result document.

Automatic indexing system of the search database that includes.

22. The method of claim 21,

More,

The index word adding unit,

And the inspection unit adds the potential index word that satisfies a predetermined inspection criterion as the index word of the selected result document.

22. The method of claim 21,

The index word adding unit,

And an associated search query added to the index word from the search database when the related search query of the search query is not selected in the search database.

delete