JP2012128528A - Retrieval support device and method thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a retrieval support device and method allowing general users to use a query, which is not known in general but is known in a community having common interest.SOLUTION: A retrieval support device 1 comprises: a community relevant word database 21 for storing community relevant words in connection with a prescribed community; a community relevant query extraction storage section 11 for storing a query which includes the community relevant words stored in the community relevant database 21 as a community relevant query; a characteristic query specification section 12 for specifying a query as a characteristic query when a general query used by a user who does not belong to the community and a community relevant query are compared and as a result they do not match partially; and a guiding query specification section 13 for specifying a partially matched query as a guiding query.

Description

  The present invention relates to a search support apparatus and method for supporting search of information.

  As a system in which a plurality of users communicate electronically, a communication system using a mailing list, an electronic bulletin board, or the like is used (for example, see Patent Document 1). In particular, in a community constituted by a plurality of users having a specific common interest, a unique query that is not known to general users may be input in relation to the specific common interest. Such unique queries often include the knowledge and know-how of users belonging to the community. If general users who are not satisfied with the so-called major topics can know these unique queries, It is beneficial.

JP 2010-108519 A

  However, there is no disclosure of automatically providing a search using a unique query to a community automatically for a user who does not belong to the community.

  Although the present invention is generally unknown, information that is used by users who do not belong to a community using a unique query entered in a community composed of a plurality of users having a specific common interest. It is an object of the present invention to provide a search support apparatus and method capable of performing the above search.

  The present invention provides the following solutions.

  (1) Community-related word storage means for storing community-related words related to a predetermined community, and a query log stored in response to receiving a query from a user's terminal, the query and the identification of the user If there is a community to which the user belongs, the query used by the user belonging to the community from the query log stored in association with the identification information of the community to which the user belongs, and the community Used by a user who does not belong to the predetermined community from the query log and community related query extraction storage means for extracting and storing a query including the community related words stored in the related word storage means as a community related query Extract the query as a general query, By comparing the general query with the community-related query, the characteristic query specification that identifies and stores, as a characteristic query, a query other than the partially matched portion among the community-related queries that partially matches the general query A search support apparatus comprising: means, and a query query specifying means for specifying the partially matched query as a guide query and storing the query in association with the characteristic query.

  According to the invention described in (1), the characteristic query specifying unit extracts, as a general query, a query used by a user who does not belong to a predetermined community from the query log, and obtains the general query and the community-related query. By comparing, among the community related queries partially matching the general query, queries other than the partially matched portion are specified and stored as characteristic queries. Then, the guidance query specifying unit specifies the partial matched query as the guidance query and stores it in association with the characteristic query. By doing this, it is hardly known among general users who do not belong to the community, but it is unique that is input in a community composed of a plurality of users having a specific common interest It is possible to provide a search support device that allows a user to generate a query without specifying a search condition.

  (2) In the search support device according to (1), when the received query includes the guidance query in response to receiving a query from a user terminal that does not belong to the predetermined community. A search support device further comprising characteristic query recommendation means for transmitting the characteristic query stored in association with the guidance query for display on the terminal of the user.

  According to the invention described in (2), it is possible to provide a search support apparatus capable of notifying a general user who has input the guidance query what kind of query the characteristic query is. The general user can be given an opportunity to perform a search using such a characteristic query.

  (3) The search support device according to (1), wherein the received query includes the guidance query in response to receiving a query from a terminal of a user who does not belong to the predetermined community. , Further comprising: a characteristic query adding means for adding the characteristic query stored in association with the guidance query to a search condition; and a search means for executing a search according to the search condition added by the characteristic query adding means. Search support device.

  According to the invention described in (3), there is provided a search support apparatus capable of acquiring a search result to which a characteristic query is added only by inputting a general query for guidance even by a general user. Can be provided.

  (4) A search support method in which a computer including a control unit and a storage unit executes a search support for information, wherein the storage unit stores community related words related to a predetermined community. The control means is a query log provided in the storage means and stored in response to receiving a query from a user terminal, the query, the identification information of the user, and the affiliation of the user If there is a community, it is a query used in a search by a user belonging to the community from a query log stored in association with the identification information of the affiliated community, and is stored in the community related word storage means The query including the community related words is extracted and stored as a community related query. Extracting a query used by a user who does not belong to the predetermined community from the query log as a general query, and comparing the general query with the community-related query. Of the community-related queries that partially match a general query, a characteristic query specifying step that specifies and stores a query other than the partially matched part as a characteristic query, and a query of the partially matched part is used as a guidance query A search support method for executing a guidance query specifying step that is specified and stored in association with the characteristic query.

  According to the method described in (4), the same effect as in (1) can be expected by implementing the invention according to the method.

  According to the present invention, a unique query that is hardly known among general users who do not belong to a community, but is input in a community constituted by a plurality of users having a specific common interest, can be obtained. It is possible to provide a search support apparatus and method that can be used by a user who does not belong to the community to search for information.

It is a figure showing the whole composition for explaining search support device 1 concerning a 1st embodiment of the present invention. It is a figure which shows the community related word database 21 which concerns on the 1st and 2nd embodiment of this invention. It is a figure which shows the query log 22 which concerns on the 1st and 2nd embodiment of this invention. It is a figure which shows the community related query database 23 which concerns on the 1st and 2nd embodiment of this invention. It is a figure which shows the query database 24 for characteristic query and guidance which concerns on the 1st and 2nd embodiment of this invention. It is a flowchart of the search assistance apparatus 1 which concerns on 1st Embodiment of this invention. It is a figure which shows the example of a display of the terminal 2 when using the search assistance apparatus 1 which concerns on 1st Embodiment of this invention. It is a figure which shows the example of a display following FIG. It is a figure which shows the example of a display following FIG. It is a figure which shows the whole structure for demonstrating the search assistance apparatus 1 which concerns on 2nd Embodiment of this invention. It is a flowchart of the search assistance apparatus 1 which concerns on 2nd Embodiment of this invention. It is a figure which shows the example of a display of the terminal 2 when using the search assistance apparatus 1 which concerns on 2nd Embodiment of this invention. It is a figure which shows the example of a display following FIG.

<First Embodiment>
A first embodiment of the present invention will be described with reference to the drawings.

[overall structure]
FIG. 1 is a diagram showing an overall configuration for explaining a search support apparatus 1 according to the first embodiment. The search support apparatus 1 is connected to a user terminal 2 via a network, and stores a control unit 10 that controls each function related to the search support apparatus 1 and information necessary for the operation of the control unit 10. Storage unit 20.

  The storage unit 20 includes a community related word database 21, and the contents of community related words related to a predetermined community are stored in the community related word database 21. The community related word database 21 functions as community related word storage means. The “predetermined community” is a community constituted by a plurality of users having a specific common interest, and examples thereof include a community on an SNS, a community based on a communication system using a mailing list or an electronic bulletin board (not shown). .

  By the way, the community related word database 21 is illustrated in FIG. The community related word database 21 has a “community” field indicating the name of the community, and a “community related word” field indicating the community related word related to this community. For example, if you love Kyushu ramen, a community where people who love Kyushu ramen gather, if the community-related word related to this community is “Fukuoka Hakata Kurume Kyushu Tonkotsu Ramen Niyutamago”, the “Community” field will contain “Kyushu "Ramen lovers" is remembered, and "Fukuoka Hakata Kurume Kyushu Tonkotsu Ramen Nitamago" is remembered in the "Community Related Languages" field.

  Returning to FIG. 1, in response to receiving a query from the user's terminal, the control unit 10 stores the query in the query log 22 in association with the user's identification information or the like. The query log 22 is provided in the storage unit 20.

  The query log 22 is illustrated in FIG. The query log 22 includes a “user identification information” field for identifying a user who has input a query, a “query” field indicating a query input by the user, and a “affiliation community” field indicating a community to which the user belongs. .

For example, if the community to which the user corresponding to the user identification information “01” belongs is “I love Kyushu ramen” and this user inputs the query “Ramen AND pork bone AND spicy AND Kiyama”, “User identification information” “01” is stored in the “query” field, “Ramen AND pork bone AND spicy AND Motoyama” is stored in the “query” field, and “I love Kyushu ramen” is stored in the “affiliation community” field. When the same user inputs the query “Soba AND Shinshu”, “01” is stored in “User identification information”, “Soba AND Shinshu” is stored in “Query” field, and “Affiliated community” field Remembers “I love Kyushu ramen”.
In addition, if the community to which the user corresponding to the user identification information “02” belongs is “I love Kyushu ramen”, and this user inputs the query “Pig bone ramen AND Tangjin town AND Andaba AND boiled egg” “02” is stored in the “Identification Information” field, “Pig Bone Ramen AND Tangjin Town AND Anaba AND Boiled Egg” is stored in the “Query” field, and “I Love Kyushu Ramen” is stored in the “Community” field. The
When a user who corresponds to the user identification information “03” and does not belong to any community inputs the query “ramen AND pig bone”, “03” is stored in the “user identification information”, and “query” “Ramen AND Tonkotsu” is stored in the field. No information is stored in the “affiliation community” field.
In addition, when the community to which the user corresponding to the user identification information “04” belongs is “I love Sapporo ramen” and the user inputs the query “ramen AND boiled egg”, the “user identification information” has “04 Is stored in the “Query” field, and “I love Sapporo Ramen” is stored in the “Community” field.

  Returning to FIG. 1, the control unit 10 uses the above query log as a community-related query, which is a query used by a user belonging to a community and used in a search and includes a community-related word stored in the community-related word database 21. A community-related query extraction storage unit 11 that extracts and stores the information from 22 is provided. The storage unit 20 includes a community related query database 23, and the contents of the community related queries extracted by the community related query extraction storage unit 11 are stored in the community related query database 23. The community-related query extraction storage unit 11 and the community-related query database 23 function as community-related query extraction storage means.

  The community related query database 23 is illustrated in FIG. The community-related query database 23 includes a “user identification information” field for identifying a user who has input a community-related query, a “community-related query” field indicating a community-related query input by the user, and a community to which the user belongs. And an “affiliation community” field.

For example, the query “ramen AND pork bone AND spicy AND motoyamacho” corresponds to the user identification information “01”, and is a query used by a user belonging to the community “Kyushu ramen lover” in the search, and related to the community. The community-related words “ramen” and “pig bone” stored in the word database 21 are included. Therefore, the community-related query extraction storage unit 11 stores the query in the community-related query database 23 in association with the user identification information and the user's community.
On the other hand, the query “Soba AND Shinshu” corresponds to the user identification information “01” and is a query used by a user belonging to the community “Kyushu ramen lover” in the search. Does not contain related terms. Therefore, the community related query extraction storage unit 11 does not store the query in the community related query database 23.

  Returning to FIG. 1, the control unit 10 extracts, as a general query, a query used by a user who does not belong to the community from the query log 22, and compares the general query with the community-related query to thereby obtain a general query. Among the community related queries that partially match, a characteristic query specifying unit 12 that specifies and stores a query other than the partially matched part as a characteristic query is provided. The storage unit 20 includes a characteristic query and guidance query database 24, and the contents of the characteristic query specified by the characteristic query identification unit 12 are stored in the characteristic query and guidance query database 24. The characteristic query specifying unit 12 and the characteristic query / guidance query database 24 function as characteristic query specifying means.

  “A user who does not belong to a community” is a user who belongs to some community in addition to a user who does not belong to any community, but the community is stored in the “affiliation community” field of FIG. Also includes users who are in different communities. Taking the case where the community stored in the “affiliation community” field in FIG. 4 is “I love Kyushu ramen” as an example, “user not belonging to community” corresponds to the user identification information “03” in FIG. In addition to a user who does not belong to any community, such as a user who does, the user belongs to some community such as a user corresponding to the user identification information “04” in FIG. This includes users who are in a different community from “I love Kyushu ramen” stored in the “Affiliated community” field. Further, in the case where the community stored in the “affiliation community” field in FIG. 4 is “I love Sapporo ramen”, “the user who does not belong to the community” is the user identification information “03” in FIG. In addition to a user who does not belong to any community, such as a user corresponding to, the user belongs to some community, such as a user corresponding to the user identification information “01” and “02” in FIG. In addition, a user whose community is a community different from “I love Sapporo ramen” stored in the “affiliation community” field of FIG. 4 is also included.

  In addition, the control unit 10 includes a guidance query specifying unit 13 that specifies a partially matched query as a guidance query and stores the query in association with a characteristic query. The guidance query identification unit 13 and the characteristic query / guidance query database 24 function as guidance query identification means.

  The characteristic query / guidance query database 24 is illustrated in FIG. The characteristic query / guidance query database 24 includes a “user identification information” field for identifying a user who has input a query including a characteristic query, a “characteristic query” field indicating the characteristic query, and a guidance described later. A “guidance query” field that indicates a business query, and a “affiliation community” field that indicates a community to which the user belongs.

For example, the characteristic query specifying unit 12 uses the query “ramen AND pork bone” used by the user corresponding to the user identification information “03” and “04” that does not belong to the community “I love Kyushu ramen” from the query log 22. Is extracted as a general query, and the general query is compared with the above-mentioned community-related queries “ramen AND pork bone AND spicy AND Motoyama-cho” and “pig bone ramen AND Tangjin-cho AND Hakuba”. When comparing the general query “ramen AND pork bone” and the community related query “ramen AND pork bone AND spicy AND Motoyama-cho”, the general query partially matches the community related query in “ramen” and “pork bone”. , “Spicy” and “Keyama” do not agree. Therefore, the characteristic query specifying unit 12 specifies “Hime AND Motoyama” that is a query other than the partially matched part among the community-related queries that partially match the general query as the characteristic query, and specifies the query for guidance. The unit 13 specifies “ramen AND pork bone”, which is a query of the partially matched part, as a guidance query. The characteristic query specifying unit 12 and the guidance query specifying unit 13 store the characteristic query and the guidance query in the characteristic query / guidance query database 24 in association with the user identification information and the user's belonging community.
In addition, when comparing the general query “Ramen AND Tonkotsu” with the community-related query “Tonkotsu Ramen AND Tojincho AND Unbokuba”, the general query is “Ramen”, “Porkbone”, and “Niitamako”. Partially matches the related query, but does not match in “Tangjincho” and “Unknown”. Therefore, the characteristic query specifying unit 12 specifies “Tangjincho AND hole”, which is a query other than the partially matched part, among the community related queries that partially match the general query, and specifies the query for guidance. The unit 13 specifies “ramen AND pork bone AND boiled egg” as a query for guidance, which is a partially matched query. The characteristic query specifying unit 12 and the guidance query specifying unit 13 store the characteristic query and the guidance query in the characteristic query / guidance query database 24 in association with the user identification information and the user's belonging community.

  Returning to FIG. 1, in response to receiving a query from the terminal 2 of a user who does not belong to the community, the control unit 10 associates the query with the guidance query when the received query includes the guidance query. And a characteristic query recommendation unit 14 that transmits the characteristic query stored in this way to the terminal 2 of the user in order to display the characteristic query on the terminal 2 of the user. The characteristic query recommendation unit 14 functions as characteristic query recommendation means.

  For example, when the control unit 10 receives the query “ramen AND pork bone” from the terminal 2 of the user who does not belong to the community, the control unit 10 stores the query in the characteristic query / guidance query database 24. It is determined whether or not a guidance query is included. As described above, since the query “ramen AND pork bone” includes the guidance query “ramen AND pig bone”, the characteristic query recommendation unit 14 associates the characteristic query with the guidance query “ramen AND pork bone”. The characteristic queries “Hime AND Kiyama-cho” and “Tangjin-cho AND Hakuba” stored in the guidance query database 24 are transmitted to the user's terminal 2 to be displayed on the user's terminal 2.

  In order to inform the user who has input the query of what kind of community the characteristic query indicates the search know-how of the user belonging to the community, the characteristic query recommendation unit 14 includes the community to which the user who has input the characteristic query belongs. It is preferable to transmit the identification information indicating the above. The “identification information” may be an icon indicating a community, a URL indicating a web page related to the community, or both.

[Configuration of Hardware and Software of First and Second Embodiments]
The hardware and software configurations of this embodiment and a second embodiment to be described later will be described. The hardware of the search support apparatus 1 includes a CPU as a control device (control unit), a storage device (storage unit), a communication device (communication unit), a display device (display unit), and an input device (input unit). included. Examples of the storage device (storage unit) include a memory (RAM, ROM, etc.), a hard disk drive (HDD), an optical disk (CD, DVD, etc.) drive, and the like. Examples of the communication device (communication unit) include various wired or wireless interface devices. Examples of the display device (display unit) include various displays such as a liquid crystal display or a plasma display. Examples of the input device (input unit) include a keyboard, a pointing device (such as a mouse), a remote control device, and the like.

  The software of the search support apparatus 1 includes programs and data for controlling the hardware. Programs and data are stored in a storage device (storage unit), and are appropriately executed and referenced by a control device (control unit). Further, the computer program and data can be distributed by an electromagnetic method, or can be recorded and distributed on a computer-readable medium such as a CD-ROM.

[flowchart]
FIG. 6 is a flowchart of the search support apparatus 1 according to the first embodiment.

  First, the community related query extraction storage unit 11 executes community related query extraction storage processing (S1). In this process, the community-related query extraction storage unit 11 uses a query including a community-related word stored in the community-related word database 21 as a query used by a user belonging to the community for a search. As described above, a process of extracting and storing from the query log 22 is executed.

  Next, the characteristic query specifying unit 12 executes a characteristic query specifying process (S2). In this process, the characteristic query specifying unit 12 extracts a query used by a user who does not belong to the community from the query log 22 as a general query, and compares the general query with the community-related query. Then, the characteristic query specifying unit 12 specifies, as a characteristic query, a query other than the partially matched part among the community-related queries that partially match the general query, and the specified characteristic query is characterized. Stored in the static query / guidance query database 24.

  Next, the guidance query identification unit 13 executes guidance query identification processing (S3). In this process, the guidance query specifying unit 13 stores the partially matched query in the characteristic query / guidance query database 24 as a guidance query.

  Next, the characteristic query recommendation unit 14 executes characteristic query recommendation processing (S4). In this process, the characteristic query recommendation unit 14 receives the query from the terminal 2 of the user who does not belong to the community, and when the received query includes the guidance query, the guidance query The characteristic query stored in association with is transmitted to the user's terminal 2 for display on the user's terminal 2. In addition to the characteristic query, the characteristic query recommendation unit 14 also transmits identification information indicating a community to which the user who has input the characteristic query belongs. When this process ends, the control unit 10 ends the series of processes.

[Example of the search support apparatus 1 according to the first embodiment]
7-9 is a figure which shows the example of a display on the display screen 30 of the terminal 2 which the user who does not belong to a community when using the search assistance apparatus 1 which concerns on 1st Embodiment. “A user who does not belong to a community” includes not only a user who does not belong to any community but also a user who belongs to some community but is a community different from the target community.

  In FIG. 7, the display screen 30 is provided with a query input area 31 for inputting a query, a search button 32 for executing a search for a query input to the query input area 31, and a cursor 33. In the query input area 31, “ramen pork bone” is displayed, and the cursor 33 is aligned with the position of the search button 32.

  FIG. 8 shows a display example on the display screen 30 when the search button 32 is pressed in FIG. Since the control unit 10 of the search support apparatus 1 has received the query “ramen pork bone” from the terminal 2 of the user who does not belong to the community, the query is stored in the characteristic query / guidance query database 24. It is determined whether or not it is included. In the example of FIG. 5, the query “ramen pork bone” includes the guidance query “ramen AND pork bone”. Therefore, the characteristic query recommendation unit 14 relates to the guidance query “ramen AND pork bone” and is characteristic. The characteristic queries “spicy AND Kiyama-cho” and “Tangjin-cho AND hole” stored in the query / guidance query database 24 are transmitted to the terminal 2 of the user to be displayed on the terminal 2 of the user. At that time, the characteristic query recommendation unit 14 also transmits a URL indicating a Web page related to the community as identification information indicating the community to which the user who has input the characteristic query belongs.

  FIG. 8 is a display example on the display screen 30 at this time. Below the query input area 31 and the search button 32, a characteristic query list display command button 34 for instructing to display the characteristic queries in a list format, and a characteristic for instructing to display the characteristic queries individually. A query individual display command button 35 is displayed. The characteristic query list display command button 34 displays the search word of the expert related to the search condition “ramen AND pork bone”, and the characteristic query individual display command button 35 transmits from the characteristic query recommendation unit 14. The “spicy AND Motoyama-cho” and “Tangjin-cho AND vacancy” are displayed as the characteristic queries. On the right side of the characteristic query individual display command button 35, a display indicating which community the characteristic query relates to is displayed.

  Then, below the characteristic query individual display command button 35, a normal search result when “ramen pork bone” is used as a search condition is displayed.

  FIG. 9 shows a display example on the display screen 30 when the characteristic query list display command button 34 in FIG. 8 is pressed. In this display example, URLs “http: //www.kyusyuramenfan ....” indicating the Web pages related to the community “Kyushu ramen lovers” are displayed as characteristic queries “Hime AND Motoyama” and “Tarajincho AND Anaba”. "Is also displayed. In FIG. 8, when the distinctive query individual display command button 35 is pressed, the control unit of the terminal 2 displays “Ramen pork bone spiced Motoyama-cho” or “Ramen pork bone Tangjin-cho Anaba” in the query input area 31. Is automatically entered, and a refined search using this as a condition is requested.

  According to the invention described in the first embodiment, the characteristic query specifying unit 12 extracts a query “ramen AND pork bone” used by a user who does not belong to the community from the query log 22 as a general query, and the general query By comparing the query with the community-related query “Ramen AND Tonkotsu AND Spicy AND Motoyama-cho” and “Pig-bone AND Ramen AND Tojincho AND Atoba AND Nidamako”, the community-related queries that partially match the general query, The queries other than the partially matched parts are identified as characteristic queries, and are stored in the characteristic query / guidance query database 24. Then, the guidance query specifying unit 13 specifies “ramen AND pork bone”, which is the query of the partially matched part, as a guidance query, stores the query in association with the characteristic query, and the characteristic query recommendation unit 14 When the query “ramen pork bone” is received from the terminal 2 of the user who does not belong to the predetermined community, the received query “ramen pork bone” includes “ramen AND pork bone” which is a guidance query. The characteristic queries stored in association with the guidance query, “Hime AND Kiyama-cho” and “Tangjin-cho AND Akanba” are transmitted to the terminal 2 of the user. By doing this, it is hardly known among general users who do not belong to the community, but it is unique that is input in a community composed of a plurality of users having a specific common interest It is possible to provide the search support device 1 that allows the user to display the query “Hime AND Kiyama-cho” and “Tangjin-cho AND Anaba” on the terminal 2 without specifying the search condition.

  The characteristic query recommendation unit 14 also transmits a URL indicating a Web page related to the community to which the user who has input the characteristic query belongs. Therefore, it is possible to inform the user who has received the recommendation what kind of community the characteristic query indicates the search know-how of the user belonging to. And even if it is a general user who does not belong to the said community, only the URL shown by the characteristic query recommendation part 14 is selected, and information with high interest among the user's associates who belong to the community is accurately acquired. it can.

Second Embodiment
Hereinafter, a second embodiment of the present invention will be described with reference to the drawings.

[overall structure]
FIG. 10 is a diagram showing an overall configuration for explaining the search support apparatus 1 according to the second embodiment. In contrast to FIG. 1, the configuration with the same subscript is the same as that of the first embodiment. Comparing FIG. 1 and FIG. 10, in the search support device 1 according to the second embodiment, the characteristic query recommendation unit 14 included in the search support device 1 according to the first embodiment is the characteristic query addition unit 15 and the search. It differs in that it is replaced with part 16.

  The characteristic query addition unit 15 functions as characteristic query addition means. In response to receiving a query from the terminal 2 of a user who does not belong to a predetermined community, the characteristic query adding unit 15 stores the query in association with the guidance query when the received query includes a guidance query. The characteristic query is added to the search condition.

  The search unit 16 functions as a search unit. The search unit 16 executes a search according to the search condition added by the characteristic query addition unit 15.

[flowchart]
FIG. 11 is a flowchart of the search support apparatus 1 according to the second embodiment. In contrast to FIG. 6, the process with the same subscript is the same as that of the first embodiment. 6 and FIG. 11, the search support device 1 according to the second embodiment, instead of not performing the characteristic query recommendation process (S4) that the search support device 1 according to the first embodiment has executed, The difference is that the characteristic query addition process (S5) and the search process (S6) are executed.

  The characteristic query adding unit 15 executes the characteristic query adding process after the guidance query specifying process (S3) (S5). In this process, the characteristic query adding unit 15 determines whether or not the received query includes a guidance query in response to receiving the query from the terminal 2 of the user who does not belong to the predetermined community. When it is determined that a guidance query is included, processing for adding a characteristic query stored in association with the guidance query to the search condition is executed.

  Subsequently, the search unit 16 executes a search process (S6). In this process, the search unit 16 executes a process of executing a search according to the search condition added by the characteristic query adding unit 15. When this process ends, the control unit 10 ends the series of processes.

[Example of the search support apparatus 1 according to the second embodiment]
FIG.12 and FIG.13 is a figure which shows the example of a display on the display screen 30 of the terminal 2 which the user who does not belong to a community when using the search assistance apparatus 1 which concerns on 2nd Embodiment.

  In FIG. 12, the display screen 30 is provided with a query input area 31 for inputting a query, a search button 32 for executing a search for a query input to the query input area 31, and a cursor 33. In the query input area 31, “ramen pork bone” is displayed, and the cursor 33 is aligned with the position of the search button 32.

  FIG. 13 shows a display example on the display screen 30 when the search button 32 is pressed in FIG. The characteristic query adding unit 15 determines whether the received query includes a guidance query in response to receiving the query “ramen pork bone” from the terminal 2 of the user who does not belong to the predetermined community. . In this example, since the accepted query includes the guidance query “ramen AND pig bone”, the characteristic query adding unit 15 stores the characteristic query “spicy” associated with the guidance query “ramen AND pig bone”. "AND Motoyama-cho" and "Tangjin-cho AND Anaba" are added to the search condition. Then, the search unit 16 performs a search according to the search conditions added by the characteristic query addition unit 15, that is, “ramen AND pork bone AND spicy AND base mountain town” and “ramen AND pork bone AND karajin town AND hole spot”.

  FIG. 13 is a display example on the display screen 30 at this time. In this display example, the search result of the master's search word is the search result of “Ramen AND pork bone AND spicy AND Motoyama-cho” and the search condition “Ramen AND pork bone AND Tangjin-cho AND Anaba”. Search results are displayed.

  According to the invention described in the second embodiment, even a general user can obtain a search result to which a characteristic query is added simply by inputting a general query for guidance. 1 can be provided.

  It should be noted that the effects described in the first and second embodiments are only the most preferable effects resulting from the present invention, and the effects of the present invention are the same as those in the first and second embodiments. It is not limited to what has been described.

DESCRIPTION OF SYMBOLS 1 Search assistance apparatus 2 Terminal 10 Control part 11 Community related query extraction memory | storage part 12 Characteristic query specific part 13 Guidance query specific part 20 Storage part 21 Community related word database 22 Query log 23 Community related query database 24 Characteristic query and guidance Query database

Claims (4)

Community-related word storage means for storing community-related words related to a predetermined community;
A query log stored in response to receiving a query from the user's terminal, where the query, the identification information of the user, and the identification information of the community to which the user belongs if there is a community to which the user belongs From the query log stored in association, a query used by a user belonging to the community in a search and including the community-related word stored in the community-related word storage unit is extracted as a community-related query. Community-related query extraction storage means for storing
From the query log, a query used by a user who does not belong to the predetermined community is extracted as a general query, and the general query and the community-related query are compared, whereby the community-related that partially matches the general query A characteristic query specifying means for specifying and storing a query other than the partially matched part of the queries as a characteristic query;
A search support apparatus comprising: a query query specifying unit that specifies a query of the partially matched part as a query for guidance and stores the query in association with the characteristic query. The search support device according to claim 1,
In response to receiving a query from a terminal of a user who does not belong to the predetermined community, when the received query includes the guidance query, the characteristic query stored in association with the guidance query is stored. A search support apparatus further comprising characteristic query recommendation means for transmission for display on the user terminal. The search support device according to claim 1,
In response to receiving a query from a terminal of a user who does not belong to the predetermined community, when the received query includes the guidance query, the characteristic query stored in association with the guidance query is stored. A characteristic query adding means for adding to the search condition;
A search support apparatus further comprising search means for executing a search according to the search condition added by the characteristic query addition means. A search support method in which a computer having a control means and a storage means executes support for search of information,
The storage means includes community related word storage means for storing community related words related to a predetermined community,
The control means includes
A query log provided in the storage means and stored in response to accepting a query from a user terminal, and further includes the query, the identification information of the user, and the community to which the user belongs A query that is used in a search by a user belonging to the community from a query log that is stored in association with identification information of the belonging community, and that includes the community-related word stored in the community-related word storage means A community-related query extraction storage step for extracting and storing a community-related query,
From the query log, a query used by a user who does not belong to the predetermined community is extracted as a general query, and the general query and the community-related query are compared, whereby the community-related that partially matches the general query A characteristic query identifying step of identifying and storing a query other than the partially matched part of the queries as a characteristic query;
A search support method for executing a guidance query specifying step of identifying a query of the partially matched part as a guidance query and storing the query in association with the characteristic query.

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