JP5797232B2 - Information processing apparatus, query control method, and query control program - Google Patents

Description

  The present invention relates to an information processing apparatus, a query control method, and a query control program.

  2. Description of the Related Art In recent years, a technique is known in which a database to which a related service such as a website or a document is assigned for each search query, and a related service corresponding to a search query input by a user is searched and responded. In addition, a technique for obtaining a highly relevant search result by assigning a score to each search query and identifying the high degree of relevance is known.

Special table 2012-501499 gazette

  However, in the above technique, since the search target server learns the search query received from the user terminal, the learning efficiency of the search query is not necessarily high, and it is difficult to collect useful search queries.

  The disclosed technique has been made in view of the above, and an object thereof is to provide an information processing apparatus, a query control method, and a query control program capable of collecting useful search queries.

  In one aspect, an information processing device, a query control method, and a query control program disclosed in the present application include: a query storage unit that stores a search query; and a search query that is received when the search query is received from a user terminal. When the first storage control means for storing in the query storage means and the search query received from the user terminal by another information processing apparatus are received from the other information processing apparatus, the received search query is Second storage control means for storing in the query storage means.

  According to one aspect of the information processing apparatus, the query control method, and the query control program disclosed in the present application, it is possible to collect useful search queries.

FIG. 1 is a diagram illustrating an example of the overall configuration of a system according to the first embodiment. FIG. 2 is a functional block diagram showing a functional configuration of the vertical server. FIG. 3 is a diagram illustrating an example of information stored in the dictionary DB. FIG. 4 is a diagram illustrating an example of information stored in the suggestion DB. FIG. 5 is a diagram for explaining an analysis example of a search query. FIG. 6 is a diagram for explaining an example of updating the suggestion DB. FIG. 7 is a diagram for explaining an example in which the assist contents are updated with the update of the suggestion DB. FIG. 8 is a diagram illustrating a processing sequence according to the first embodiment. FIG. 9 is a diagram illustrating an example in which the weight changes depending on the input form. FIG. 10 is a diagram illustrating a case where a user attribute is added to a search query. FIG. 11 is a diagram illustrating an example in which the weight changes depending on the order in which the TOP server allocates the search query. FIG. 12 is a diagram illustrating an example in which the weight changes depending on the click result. FIG. 13 is a hardware configuration diagram illustrating an example of a computer that realizes a server function.

  Hereinafter, embodiments of an information processing apparatus, a query control method, and a query control program disclosed in the present application will be described in detail based on the drawings. In addition, this invention is not limited by this embodiment. Each embodiment can be appropriately combined within a consistent range.

[First Embodiment]
(overall structure)
FIG. 1 is a diagram illustrating an example of the overall configuration of a system according to the first embodiment. As shown in FIG. 1, this system is configured by connecting a TOP server 1, an auction server 2, and a gourmet server 3 so that they can communicate with each other. The number and type of servers shown here are merely examples, and are not limited to those illustrated.

  Each server is a search server device that searches Web sites and the like. Specifically, each server receives a search query from a user terminal (not shown), searches a Web site and each piece of information based on the search query, and returns the result to the user terminal. For example, each server extracts a character string included in the search query, searches a Web site or document information associated with the character string, and responds to the request source.

  Each server has an assist function for assisting input from the user terminal. For example, each server has a suggest DB (DataBase) that stores a plurality of character strings in association with each other. When a character string A is received as a search query, each server displays the character strings associated with the character string A on the screen. To assist user input.

  The TOP server 1 is an upper server displayed on the TOP screen when a user terminal accesses the system. When receiving a search query directly from the user terminal, the TOP server 1 searches the server itself with respect to the search query and transmits the search query to the auction server 2 and the gourmet server 3 which are lower servers. Then, the TOP server 1 responds to the user terminal with the search result in its own server and the search result of each lower server.

  The auction server 2 and the gourmet server 3 are subordinate server devices that receive a search query from the TOP server 1. To these lower servers, the screen can be changed from a TOP screen displayed on the user terminal by the TOP server 1. When the subordinate server receives the search query from the TOP server 1, it executes the search query and returns a search result to the TOP server 1. Similarly, when the subordinate server directly accepts the search query from the user terminal, the subordinate server executes the search query and returns the search result to the user terminal.

  In such a state, each subordinate server has a suggest DB that stores a search query. And each subordinate server stores the received search query in suggest DB, when a search query is received from a user terminal. Each subordinate server stores the received search query in the suggestion DB when the search query received by the other server from the user terminal is received from the other server.

  For example, the gourmet server 3 holds information in which “Roppongi” and “intersection, building, wine” are associated with each other in the suggestion DB. When the gourmet server 3 receives the input of the search query “Roppongi” from the user terminal, the gourmet server 3 specifies “intersection, building, wine” associated with the received “Roppongi” in the suggestion DB, and By displaying on the input screen, the user's input is assisted (S1).

  Similarly, the auction server 2 holds information in which “Roppongi” and “luxury furniture, wine” are associated with each other in the suggestion DB. When the auction server 2 receives an input of the search query “Roppongi” from the user terminal, the auction server 2 specifies “luxury furniture, wine” associated with the received “Roppongi” in the suggestion DB, and inputs the search query. By displaying on the screen, user input is assisted (S2).

  In this state, when receiving the search query “Roppongi, Izakaya” from the user terminal, the TOP server 1 determines a search query distribution destination based on a predetermined rule (S3). For example, the TOP server 1 assigns a search query “Roppongi, Izakaya” to the gourmet server 3 based on past search results, distribution status, user terminal action history, user terminal access status, and the like. Is identified.

  Subsequently, the TOP server 1 executes a search process in its own server using the search query “Roppongi, Izakaya” and transmits the search query “Roppongi, Izakaya” to the gourmet server 3 (S4).

  When the gourmet server 3 receives the search query “Roppongi, Izakaya” from the TOP server 1, the gourmet server 3 executes a search process using the search query, and returns the search result to the TOP server 1 (S5).

  The TOP server 1 displays the search result in its own server and the search result received from the gourmet server 3 on the user terminal for the search query “Roppongi, Izakaya” (S6). Specifically, as shown in FIG. 1, the TOP server 1 displays the search result received from the gourmet server 3 as “Izakaya gourmet around Roppongi” and the search result in its own server “Search for Roppongi Izakaya”. Display as “Result”.

  Further, the gourmet server 3 adds information associating “Roppongi” and “Izakaya” included in the search query “Roppongi, Izakaya” received from the TOP server 1 to the suggestion DB as a new entry (S7). .

  After that, when the gourmet server 3 receives an input of the search query “Roppongi” from the user terminal, the gourmet server 3 specifies “Izakaya” in the suggestion DB in addition to “intersection, building, wine” associated with the received “Roppongi”. Then, it is displayed on the search query input screen to assist the user's input (S8).

  In this way, the lower server can add the search query received from the upper server that has received the input from the user terminal to the suggestion DB in addition to the search query directly received by the server itself. As a result, the subordinate server can enrich the contents of the suggestion DB and collect useful search queries. In addition, the lower server can provide an assist function that reflects the user's intention.

(Functional configuration of subordinate server)
Next, the configuration of the lower server will be described. Each subordinate server has the same functional configuration, and therefore will be described here as the vertical server 10. FIG. 2 is a functional block diagram showing a functional configuration of the vertical server. As shown in FIG. 2, the vertical server 10 includes a communication control unit 11, a storage unit 12, and a control unit 15.

  The communication control unit 11 is a processing unit that controls communication with other servers, and is, for example, a network interface card. For example, the communication control unit 11 receives a search query from the TOP server 1 and transmits a search result to the TOP server 1.

  The storage unit 12 is a storage device having a dictionary DB 13 and a suggestion DB 14, and is a storage device such as a memory or a hard disk. The storage unit 12 stores a program executed by the control unit 15.

  The storage unit 12 stores various types of information to be searched that are provided to the user. Specifically, the storage unit 12 stores provision information such as websites, document information, images, moving images, post information posted by various users in real time, and map information. For example, in order to make the search query hit, the storage unit 12 stores each provided information in association with at least one character string.

  The dictionary DB 13 stores information for specifying a character string input by the user as a search query. This dictionary DB 13 is appropriately updated by an administrator or the like. FIG. 3 is a diagram illustrating an example of information stored in the dictionary DB.

  As shown in FIG. 3, the dictionary DB 13 includes “major classification, minor classification, and registration example”. Note that the classification method and the number of classifications shown here are examples, and the present invention is not limited thereto. Here, character strings to be analyzed are classified into major classifications, and further classified into minor classifications within the major classification, and an example of registration of each minor classification is shown.

  In the example of FIG. 3, the large classification “brand name” is classified into “manufacturer”, “model name”, “product family”, and the like. An example of “manufacturer” is “Company A, Company B”, and an example of “model name” is “AY100, BB23Y”. Similarly, the large classification “person name” indicates classification into “general person”, “actor”, “director”, and the like. An example of “general person” is “Sato, Tanaka, Suzuki”, an example of “actor” is “XXXX”, and an example of “director” is “YYYY”.

  The suggestion DB 14 stores associations of character strings used for input assist. FIG. 4 is a diagram illustrating an example of information stored in the suggestion DB. As shown in FIG. 4, the suggestion DB 14 stores character strings in a hierarchical structure. The hierarchical examples such as major classification, middle classification, and minor classification shown here are examples and are not limited thereto.

  In the example of FIG. 4, “Roppongi” is associated with “intersection, building, wine, station square, secondary party”. Also, “Roppongi, Ekimae” is associated with “Ramen” and “Karaoke”. “Ramen, club” is associated with “Roppongi, second party, sake”.

  The control unit 15 includes an input reception unit 16, an assist unit 17, a query reception unit 18, a query execution unit 19, and a query addition unit 20, and is a processing unit that controls the entire vertical server 10. For example, the control unit 15 is an electronic circuit such as a processor, and each processing unit is a process executed by the processor.

  The input receiving unit 16 is a processing unit that receives an input of a search query from a user terminal. Specifically, when receiving an access from the user terminal, the input receiving unit 16 displays an input screen such as a search bar and receives a search query. Further, the input receiving unit 16 outputs the input search query and the input search query to the assist unit 17 and the query execution unit 19.

  The assist unit 17 is a processing unit that assists the user in inputting a search query. Specifically, the assist unit 17 monitors user input to the input receiving unit 16, identifies a character string associated with the received input character string from the suggestion DB 14, and displays the character string on the user terminal.

  For example, when “Roppongi” is received, the assist unit 17 specifies “intersection, building, wine, station square, secondary party” associated with “Roppongi” from the suggestion DB 14. Then, the assist unit 17 lists “Roppongi, Intersection”, “Roppongi, Building”, “Roppongi, Wine”, “Roppongi, Ekimae”, “Roppongi, Second Party” in the search bar where the input receiving unit 16 receives input. indicate. Then, when “Roppongi, station front” is selected from the displayed list, the assist unit 17 inputs “Roppongi, station front” to the search bar.

  The query receiving unit 18 is a processing unit that receives a search query from the TOP server 1. Specifically, the query receiving unit 18 receives a search query received from the user by the TOP server 1, and outputs it to the query execution unit 19.

  The query execution unit 19 is a processing unit that executes the search query received by the input reception unit 16 and the search query received by the query reception unit. Specifically, the query execution unit 19 performs character analysis on the search query and extracts a character string included in the search query. Then, the query execution unit 19 specifies a website associated with the extracted character string and responds as a search result.

  FIG. 5 is a diagram for explaining an analysis example of a search query. As illustrated in FIG. 5, it is assumed that the vertical server 10 receives “A company, AY100, price” as a search query. In this case, the query execution unit 19 refers to the registration example in the dictionary DB 13 and specifies the brand name (manufacturer) for the type of “Company A”. Similarly, the query execution unit 19 specifies the brand name (product family) for the type “AY100” and specifies the directive (purchase) for “price”. Further, the query execution unit 19 specifies shopping (genre) from a combination of a brand name (manufacturer) and a brand name (product family), and specifies “price” as a clue word indicating a user intention.

  As a result, the query execution unit 19 searches for a website including the product “AY100” of “Company A” in the page or tab, and responds with information including “price” of “AY100”. That is, the query execution unit 19 responds to the user terminal with a website or the like that can confirm the “price” of the product “AY100” of “Company A”.

  The query adding unit 20 is a processing unit that adds the search query received by the input receiving unit 16 and the search query received by the query receiving unit to the suggestion DB 14. Specifically, the query adding unit 20 adds to the suggestion DB 14 as a large classification, a medium classification,.

  FIG. 6 is a diagram for explaining an example of updating the suggestion DB. As illustrated in FIG. 6, when “Roppongi, Izakaya” is received from the TOP server 1, the query adding unit 20 generates a new record having “Roppongi” as the major classification and “Izakaya” as the middle classification. Then, the query adding unit 20 adds the generated record “major category (Roppongi), middle category (izakaya)” to the suggestion DB 14.

(Suggest update example)
FIG. 7 is a diagram for explaining an example in which the assist contents are updated with the update of the suggestion DB. As shown in the upper diagram of FIG. 7, the gourmet server 3 stores “intersection, building, wine” in the suggestion DB 14 in association with “Roppongi”.

  In this state, it is assumed that the gourmet server 3 receives an input of “Roppongi” from the user terminal 5 to the search bar. Then, the gourmet server 3 specifies “intersection, building, wine” corresponding to the received “Roppongi” from the suggestion DB 14. The gourmet server 3 displays a list of “Roppongi, intersection”, “Roppongi, building”, and “Roppongi, wine” on the search bar to assist the user's input.

  On the other hand, as shown in the lower diagram of FIG. 7, the gourmet server 3 stores “Izakaya” in addition to “intersection, building, wine” in the suggestion DB 14 in association with “Roppongi”.

  In this state, it is assumed that the gourmet server 3 receives an input of “Roppongi” from the user terminal 5 to the search bar. Then, the gourmet server 3 identifies “intersection, building, wine, tavern” corresponding to the accepted “Roppongi” from the suggestion DB 14. The gourmet server 3 displays a list of “Roppongi, Intersection”, “Roppongi, Building”, “Roppongi, Wine”, and “Roppongi, Izakaya” on the search bar to assist the user's input.

(Processing sequence)
FIG. 8 is a diagram illustrating a processing sequence according to the first embodiment. Here, as an example, an example in which the vertical server 10 receives a search query directly from the user terminal 5 after receiving the search query from the TOP server 1 will be described, but the order is not limited to this.

  As shown in FIG. 8, when receiving a search query from the user terminal 5, the TOP server 1 analyzes the received search query using the dictionary DB 13 or the like (S101-S103). At this time, the TOP server 1 assists the user's input using the assist function. Subsequently, the TOP server 1 adds the accepted search query to the suggestion DB 14 (S104).

  Thereafter, the TOP server 1 specifies the search query distribution destination (S105), and distributes the search query to the auction server 2 and gourmet server 3 specified as the distribution destination (S106-S108).

  The auction server 2 analyzes the search query received from the TOP server 1 using the dictionary DB 13 or the like (S109), and starts a search process using the analyzed result (S110). Thereafter, the auction server 2 returns the search result to the TOP server 1 (S111 and S112). Subsequently, the auction server 2 adds the received search query to the suggestion DB 14 (S113).

  Similarly, the gourmet server 3 analyzes the search query received from the TOP server 1 using the dictionary DB 13 or the like (S114), and starts the search process using the analyzed result (S115). Thereafter, the gourmet server 3 returns the search result to the TOP server 1 (S116 and S117). Subsequently, the gourmet server 3 adds the received search query to the suggestion DB 14 (S118).

  Thereafter, when the gourmet server 3 receives a search query from the user terminal 5 (S119 and S120), the gourmet server 3 assists the user's input with reference to the suggestion DB 14 (S121), and receives the search query (S122).

  Subsequently, the gourmet server 3 analyzes the received search query using the dictionary DB 13 or the like (S123), and starts a search process using the analyzed result (S124). Thereafter, the gourmet server 3 responds the search result to the user terminal 5 (S125 and S126). Subsequently, the gourmet server 3 adds the received search query to the suggestion DB 14 (S127).

(effect)
According to the first embodiment, each vertical server 10 can add the search query received from the TOP server 1 to the suggestion DB 14 in addition to the search query input to the server itself. For this reason, each vertical server 10 can enrich the content of the suggestion DB 14 as compared with the case where only the input of the own server is added to the suggestion DB 14.

  Further, each vertical server 10 can enhance user assistance as the content of the suggestion DB 14 is enhanced. For this reason, each vertical server 10 can also be expected to improve the user attracting rate. Further, each vertical server 10 can learn the suggestion DB 14 and assist the user's input, so that the convenience for the user can be improved and the utilization efficiency of the system can also be improved.

[Second Embodiment]
In the second embodiment, the example in which each vertical server 10 adds the search memory to the suggestion DB 14 has been described. However, the present invention is not limited to this, and each search query may be added with a weight to the suggestion DB 14. it can.

  Therefore, in the second embodiment, an example will be described in which the weight added to the search query is changed according to various conditions, and each search query is weighted and added to the suggestion DB 14.

(Change by input form)
Each vertical server 10 can change the weight depending on whether it is a search query received from the TOP server 1 or a search query received directly from the user terminal 5. FIG. 9 is a diagram illustrating an example in which the weight changes depending on the input form.

  As shown in FIG. 9, the gourmet server 3 receives from the TOP server 1 a search query (Roppongi, Izakaya) input by the user to the TOP server 1 using the user terminal 5. The gourmet server 3 adds the weight “2” to the search query (Roppongi, Izakaya) received via the TOP server 1 and stores it in the suggestion DB 14.

  On the other hand, when the gourmet server 3 directly accepts a search query (Roppongi, Ramen) from the user terminal 5, the gourmet server 3 adds the weight “1” to the directly accepted search query (Roppongi, Ramen) and stores it in the suggestion DB 14.

  In this way, the gourmet server 3 increases the weight of the search query received from the TOP server 1 as compared to the search query received directly from the user terminal 5. As a result, the gourmet server 3 displays “Roppongi, Izakaya”, which has a higher weight, at a higher rank than other combinations as input assistance when the input of “Roppongi” is directly received from the user terminal 5 thereafter.

  Moreover, the gourmet server 3 can distinguish the input form of the search query held in the suggestion DB 14 by distinguishing the weight according to the input form. For this reason, the gourmet server 3 can consider the input tendency of the user terminal 5 and the like, and an improvement in service can be expected.

  Here, an example has been described in which the search query received from the TOP server has a higher weight, but the present invention is not limited to this, and the search query received from the user terminal 5 may have a higher weight. The setting can be changed arbitrarily.

(User attribute)
FIG. 10 is a diagram illustrating a case where a user attribute is added to a search query. As shown in FIG. 10, the TOP server 1 stores a user DB 1a that holds a login ID and password of a registered user.

  Then, the TOP server 1 receives login information from the user terminal 5 and permits login, and then receives an input of a search query (Roppongi, Este). Thereafter, the TOP server 1 identifies the attribute (female, 30s) of the user who entered the search query (Roppongi, Este) from the user DB 1a. Then, the TOP server 1 adds the user attribute (female, 30s) to the search query (Roppongi, Este) and transmits it to the shopping server 4.

  The shopping server 4 executes the search query (Roppongi, Este) received from the TOP server 1 and responds the search result to the TOP server 1, while the received search query (Roppongi, Este) + user attribute (female, 30 Is added to the suggestion DB 14.

  As a result, when the shopping server 4 receives an input of a search query directly from the user terminal 5, the shopping server 4 can perform input assistance so that a combination that matches the user attribute of the user terminal 5 is displayed at the top. .

  Therefore, since the shopping server 4 can dynamically change the input assist according to the user attribute, the convenience for the user can be improved. In addition, although the shopping server 4 demonstrated the example which receives a user attribute with a search query from the TOP server 1 here, it is not limited to this. For example, even when the shopping server 4 accepts input of a search query directly from the user terminal 5, the user attribute can be specified from login information or the like, added to the search query, and added to the suggestion DB 14.

(Allocation order)
FIG. 11 is a diagram illustrating an example in which the weight changes depending on the order in which the TOP server allocates the search query. As shown in FIG. 11, the TOP server 1 receives an input of a search query (Roppongi, Izakaya) from the user terminal 5.

  Then, the TOP server 1 determines a distribution destination of the search query (Roppongi, Izakaya) based on a predetermined rule. At this time, the TOP server 1 determines the gourmet server 3 as the first destination and the shopping server 4 as the second destination.

  Thereafter, the TOP server 1 transmits a search query (Roppongi, Izakaya) and first information to the gourmet server 3, and is ranked second with the search query (Roppongi, Izakaya) to the shopping server 4. And send information.

  The gourmet server 3 executes the search query (Roppongi, Izakaya) received from the TOP server 1 and returns the search result to the TOP server 1. On the other hand, the gourmet server 3 adds the weight “2” to the search query (Roppongi, Izakaya) because the first place information is added to the received search query (Roppongi, Izakaya). And stored in the suggestion DB 14.

  On the other hand, the shopping server 4 executes the search query (Roppongi, Izakaya) received from the TOP server 1 and returns the search result to the TOP server 1. On the other hand, the shopping server 4 adds the weight “1” to the search query (Roppongi, Izakaya) because the second-ranked information is added to the received search query (Roppongi, Izakaya). And stored in the suggestion DB 14.

  In this way, each vertical server 10 can increase the weight of a search query useful for its own server. Therefore, each vertical server 10 can display a combination having a large useful weight at a higher rank than other combinations when receiving a search query, and can provide efficient input assistance.

(Click result)
FIG. 12 is a diagram illustrating an example in which the weight changes depending on the click result. As shown in FIG. 12, the TOP server 1 receives an input of a search query (Roppongi, Izakaya) from the user terminal 5. Then, the TOP server 1 transmits a search query (Roppongi, Izakaya) to the gourmet server 3 and the shopping server 4.

  The gourmet server 3 and the shopping server 4 execute a search process using the received search query (Roppongi, Izakaya), and return the search result to the TOP server 1. Then, the TOP server 1 responds to the user terminal 5 with the search result in its own server, the search result of the gourmet server 3, and the search result of the shopping server 4.

  Thereafter, when the search result (gourmet site) of the gourmet server 3 is clicked by the user terminal 5, the TOP server 1 displays the gourmet site provided by the gourmet server 3 on the user terminal 5.

  Then, the TOP server 1 notifies the gourmet server 3 that the search result of the gourmet server 3 for the search query (Roppongi, Izakaya) has been selected. Similarly, the TOP server 1 notifies the shopping server 4 that the search result of the shopping server 4 for the search query (Roppongi, Izakaya) has not been selected.

  As a result, the gourmet server 3 adds the weight “2” to the search query (Roppongi, Izakaya) and stores it in the suggestion DB 14, and the shopping server 4 adds the weight “0” to the search query (Roppongi, Izakaya). It is added and stored in the suggestion DB 14.

  In this way, each vertical server 10 distinguishes the weight of the search query according to whether the search result is actually selected, thereby providing input assistance so that the combination that has been actually selected comes to the top of the list. Can be provided. Accordingly, each vertical server 10 can display a combination that is highly likely to be selected by the user at the top, improving the convenience for the user and improving the customer attraction rate.

[Third Embodiment]
Although the first to second embodiments have been described so far, the present invention may be implemented in various different forms other than the described embodiments. Therefore, different embodiments will be described below.

  For example, the example in which the vertical server 10 such as the gourmet server 3 adds the search query received from the TOP server 1 to the suggestion DB 14 has been described, but the present invention is not limited to this. For example, a search query is transmitted / received in the vertical server 10 and a search query received from another vertical server 10 can also be added to the suggestion DB 14.

  Each vertical server 10 can also add weights to the suggestion DB 14 by distinguishing the weights of the search query received from the TOP server 1 and the search query received from another vertical server 10. Each vertical server 10 may acquire a user access history in the TOP server 1 and store it in association with a search query.

  Further, the search query additionally stored by each vertical server 10 can be used for various purposes other than the input assist. For example, the number of inputs and the number of selections can be counted for each search query, and used for ranking search queries.

  Each server in the first or second embodiment is realized by a computer 50 configured as shown in FIG. 13, for example. FIG. 13 is a hardware configuration diagram illustrating an example of a computer that realizes a server function. The computer 50 includes a central processing unit (CPU) 51, a random access memory (RAM) 52, a read only memory (ROM) 53, a hard disk drive (HDD) 54, a communication interface (I / F) 55, an input / output interface (I). / F) 56 and media interface (I / F) 57.

  The CPU 51 operates based on a program stored in the ROM 53 or the HDD 54 and controls each unit. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 is started up, a program depending on the hardware of the computer 50, and the like.

  The HDD 54 stores a program executed by the CPU 51, data used by the program, and the like. The communication interface 55 receives data from other devices via the communication line 13 and sends the data to the CPU 51, and transmits the data generated by the CPU 51 to other devices via the communication line 13.

  The CPU 51 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 56. The CPU 51 acquires data from the input device via the input / output interface 56. Further, the CPU 51 outputs the generated data to the output device via the input / output interface 56.

  The media interface 57 reads a program or data stored in the recording medium 58 and provides it to the CPU 51 via the RAM 52. The CPU 51 loads the program from the recording medium 58 onto the RAM 52 via the media interface 57 and executes the loaded program. The recording medium 58 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 50 functions as the vertical server 10 according to the first embodiment, the CPU 51 of the computer 50 executes a program loaded on the RAM 52, whereby the input reception unit 16, the assist unit 17, and the query reception unit. 18, each function of the query execution unit 19 and the query addition unit 20 is realized. The HDD 54 stores data in the dictionary DB 13 and the suggestion DB 14.

  The CPU 51 of the computer 50 reads these programs from the recording medium 58 and executes them, but as another example, these programs may be acquired from other devices via the communication line 13.

  Further, the “unit” described in the embodiment can be read as “means”, “section, module, unit”, “circuit”, or the like. For example, the query receiving unit can be read as query receiving means or a query receiving circuit. Moreover, although this embodiment was demonstrated, the said embodiment is for making an understanding of this invention easy, and is not for limiting and interpreting this invention. The present invention can be changed and improved without departing from the gist thereof, and the present invention includes equivalents thereof, and the embodiments can be combined.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above-described embodiment. In addition, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 1 TOP server 2 Auction server 3 Gourmet server 4 Shopping server 5 User terminal 10 Vertical server 11 Communication control part 12 Storage part 13 Dictionary DB
14 Suggest DB
DESCRIPTION OF SYMBOLS 15 Control part 16 Input reception part 17 Assist part 18 Query reception part 19 Query execution part 20 Query addition part

Claims (12)

Query storage means for storing search queries;
First storage control means for storing, in the query storage means, first weight information in association with the received search query when the search query is received from a user terminal;
When the search query received by the other information processing apparatus from the user terminal is received from the other information processing apparatus, second weight information different from the first weight information is included in the received search query. Is stored in the query storage means in association with the second storage control means,
An information processing apparatus comprising: Query storage means for storing search queries;
First storage control means for storing the received search query in the query storage means when the search query is received from a user terminal;
A second storage control means for storing the received search query in the query storage means when the information processing apparatus receives the search query received from the user terminal from the other information processing apparatus;
A response means for responding to the other information processing apparatus with a search result for the search query received from the other information processing apparatus;
Have
The second storage control means receives selection information as to whether or not the search result returned by the response means has been selected by the user terminal from the other information processing apparatus, and assigns a weight based on the received selection information. Decide and store the search query and weight in the query storage means in association with each other
An information processing apparatus characterized by that. Query storage means for storing search queries ;
First storage control means for storing the received search query in the query storage means when the search query is received from a user terminal;
The search query received by the other information processing apparatus from the user terminal, and rank information that is the order in which the search query received by the other information processing apparatus from the user terminal is assigned to the information processing apparatus, Second storage control means for storing, in the query storage means, weight information corresponding to the received rank information in association with the received search query when received from an information processing device;
An information processing apparatus comprising: The first storage control means stores the search query received from the user terminal in the query storage means in association with the attribute of the user who input the search query,
The second storage control means receives the attribute of the user who has input the search query together with the search query from the other information processing apparatus, and associates the search query with the attribute of the user in association with the query storage means. The information processing apparatus according to claim 1 , wherein the information processing apparatus is stored in the information processing apparatus. Query display means for specifying a search query including the character string from the query storage means when the input of the search query including a plurality of character strings is received from the user terminal and displaying the query on the user terminal. The information processing apparatus according to any one of claims 1 to 3, further comprising:   When the query display means displays a search query including the character string specified from the query storage means on the user terminal, the query display means displays the search query having a large weight associated with the specified search query at the top. The information processing apparatus according to claim 5, characterized in that: A query control method executed by an information processing apparatus,
A receiving step of receiving a search query from a user terminal or from another information processing apparatus received from the user terminal;
The search query received from the user terminal in the reception step is stored in query storage means for storing the search query in association with the first weight information, and received from the other information processing device in the reception step. A storage control step of associating the search query with second weight information different from the first weight information and storing it in the query storage means ;
The query control method characterized by including. A query control method executed by an information processing apparatus,
A receiving step of receiving a search query from a user terminal or from another information processing apparatus received from the user terminal;
A storage control step of storing the search query received by the reception step in a query storage means for storing the search query;
A response step of responding to the other information processing device with a search result for the search query received from the other information processing device by the receiving step ;
Including
The storage control step receives selection information from the other information processing apparatus as to whether or not the search result returned by the response step has been selected by the user terminal, and determines a weight based on the received selection information. The search query and the weight are associated with each other and stored in the query storage unit
A query control method characterized by the above. A query control method executed by an information processing apparatus,
In order of receiving a search query from a user terminal or a search query from another information processing device received from the user terminal, and the search query received from the user terminal by the other information processing device to the information processing device. A receiving process for receiving certain rank information;
The search query received from the user terminal in the receiving step is stored in a query storage unit that stores the search query, and the rank query includes the search query received from the other information processing apparatus in the receiving step. A storage control step of associating the corresponding weight information and storing it in the query storage means;
The query control method characterized by including. In the information processing device,
A receiving procedure for receiving a search query from a user terminal or from another information processing apparatus received from the user terminal;
The search query received from the user terminal by the reception procedure is stored in a query storage unit that associates first weight information with the search query and stores the search query, and is received from the other information processing apparatus by the reception procedure. A storage control procedure for storing in the query storage unit the second weight information different from the first weight information in association with the search query ,
A query control program characterized by causing In the information processing device,
A receiving procedure for receiving a search query from a user terminal or from another information processing apparatus received from the user terminal;
A storage control procedure for storing the search query received by the reception procedure in a query storage means for storing the search query;
A response procedure for responding to the other information processing apparatus with a search result for the search query received from the other information processing apparatus by the reception procedure;
And execute
The storage control procedure receives selection information as to whether or not a search result returned by the response procedure has been selected by the user terminal from the other information processing apparatus, and determines a weight based on the received selection information. The search query and the weight are associated with each other and stored in the query storage unit
A query control program characterized by the above. In the information processing device,
In order of receiving a search query from a user terminal or a search query from another information processing device received from the user terminal, and the search query received from the user terminal by the other information processing device to the information processing device. A receiving procedure for receiving certain rank information;
The search query received from the user terminal by the reception procedure is stored in a query storage unit that stores the search query, and the search query received from the other information processing apparatus by the reception procedure is added to the rank information. A storage control procedure for storing the corresponding weight information in the query storage unit in association with each other,
A query control program characterized by causing

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