JP5493515B2 - Portable terminal device, information search method, and information search program - Google Patents

Description

  The present invention relates to a mobile terminal device, an information search method, and an information search program.

  In recent years, WEB browsers for browsing information on networks such as the Internet are being installed in mobile terminal devices such as mobile phones. Thereby, the user of a portable terminal device can perform an information search using a search engine etc. anytime and anywhere.

  By the way, the information existing on the network is enormous. For this reason, it is not easy for the user to quickly and accurately search for the information he needs, and it may take a long time to reach the desired information. Therefore, in order to support the user's search work, it is preferable to present a search result for the user according to the user's preference and behavior pattern.

  Here, in recent years, a technique called collaborative filtering may be used in a service provided on a network such as online shopping. Collaborative filtering is a technology that accumulates preference information of many users and estimates the preference of the one user based on preference information of another user who is taking similar actions to the one user. By using such a technique, for example, when the user A browses information related to the item B, the user A likes the item D viewed by another user C who has browsed the information of the item B. And information about the item D can be presented to the user A.

JP 2001-184393 A

  However, the above-described conventional technology is a technology for presenting an item that a certain user likes based on the preference information of a plurality of users. Therefore, even if the related art for searching for information on the network is applied, it is not possible to obtain a search result that directly reflects the user's personal preference and behavior pattern.

  The disclosed technology has been made in view of the above, and an object thereof is to provide a mobile terminal device, an information search method, and an information search program capable of performing a search suitable for a user's personal preference and behavior pattern. To do.

  The mobile terminal device disclosed in the present application is, in one aspect, a mobile terminal device that requests an information search from a search server, and includes a history information storage unit that stores a use history by a user, and the history information storage unit A keyword extraction unit that extracts a predetermined character string as a keyword from the stored use history, and relevance information that indicates the relevance of the keyword extracted by the keyword extraction unit with another keyword; A keyword storage unit that stores the information in association with each other and a search processing unit that acquires a keyword related to the keyword included in the search condition input by the user from the keyword storage unit and adds the keyword to the search condition.

  According to one aspect of the mobile terminal device, the information search method, and the information search program disclosed in the present application, it is possible to perform a search suitable for the user's personal preference and behavior pattern.

FIG. 1 is a block diagram of the configuration of the mobile terminal device according to the first embodiment. FIG. 2-1 is a schematic diagram illustrating an information search method according to the second embodiment. FIG. 2-2 is a diagram for explaining the information search method according to the second embodiment. FIG. 3 is a block diagram of the configuration of the mobile terminal device according to the second embodiment. FIG. 4A is a diagram of an example of electronic money history information stored in the usage history storage unit. FIG. 4B is a diagram of an example of transportation history information stored in the usage history storage unit. FIG. 5 is a diagram illustrating an example of a keyword data management table stored in the keyword data storage unit. FIG. 6 is a diagram illustrating an example of a search keyword table stored in the search keyword storage unit. FIG. 7 is a flowchart showing the processing procedure of the keyword extraction processing. FIG. 8 is a flowchart showing the processing procedure of the history search processing. FIG. 9 is a diagram for explaining a specific example of the history search process when a plurality of keywords are included in the search condition input by the user. FIG. 10A is a diagram for explaining a case where the relevance information in the search keyword table is updated. FIG. 10-2 is a diagram for explaining a case where the usage frequency information of the search keyword table is updated. FIG. 11 is a diagram for explaining a specific example of the history search process when only one keyword is included in the search condition input by the user. FIG. 12 is a block diagram illustrating a mobile terminal device that executes an information search program. FIG. 13 is a block diagram illustrating a configuration of a mobile terminal device according to another embodiment. FIG. 14 is a block diagram illustrating a configuration of a mobile terminal device according to another embodiment.

  Hereinafter, embodiments of a mobile terminal device, an information search method, and an information search program disclosed in the present application will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

  The portable terminal device according to the present embodiment uses a keyword related to the keyword extracted from the usage history of the own device as a search condition when a keyword for performing information search on a network such as the Internet is input by a user. Add and perform a search. Thereby, the portable terminal device concerning a present Example can show a user the search result suitable for a user's preference and an action pattern.

  FIG. 1 is a block diagram of the configuration of the mobile terminal device according to the first embodiment. As shown in the figure, the mobile terminal device 500 according to the present embodiment includes a history information storage unit 501, a keyword extraction unit 502, a keyword storage unit 503, and a search processing unit 504.

  The history information storage unit 501 stores the usage history of the user's own device. For example, the history information storage unit 501 stores a transmission history and an incoming history of the mobile terminal device 500, schedule information, a use history of a built-in IC (Integrated Circuit) card, and the like. Note that the outgoing call history is information for identifying the other party who made a call using the mobile terminal device 500, and includes the name of the other party, the telephone number, and the like. The incoming call history is information for identifying the other party who has received a call to the mobile terminal device 500, and includes the name and telephone number of the called party. The schedule information is information related to the user's schedule, and includes information such as the name of the destination and the transportation facility to be used.

  The IC card is a non-contact IC unit that performs non-contact data communication with an external reader such as an IC reader / writer, and stores usage history information such as electronic money, transportation, and coupons as usage history. To do. Specifically, the electronic money history includes information such as the product name of the purchased product and the store name of the store where the product is purchased. The transportation history includes information on the type of transportation, the boarding station, the getting-off station, and the like. Moreover, coupon history information contains the information regarding the used coupon.

  The keyword extraction unit 502 extracts a predetermined character string determined in advance from the usage history stored in the history information storage unit 501 as a keyword. For example, the keyword extraction unit 502 extracts a predetermined character string “new book” as a keyword from the electronic money history.

  The keyword storage unit 503 stores the keywords extracted from the usage history of the own device by the keyword extraction unit 502 in association with relevance information indicating relevance with other keywords. For example, when the keyword “new book” and another keyword “reason novel” are related, the keyword storage unit 503 has relevance information indicating that the keyword “new book” and “reason novel” are related, The keyword “new book” is stored in association with it.

  The search processing unit 504 acquires a keyword related to the keyword included in the search condition input by the user from the keyword storage unit 503 and adds it to the search condition. For example, when the user inputs the keyword “new publication book” as a search condition, the search processing unit 504 retrieves the keyword “reason novel” from the keyword storage unit 503 as a keyword related to the keyword “new publication book”, and the keyword “new publication book”. "Mystery novel" is added to the search condition.

  Then, the mobile terminal device 500 requests an information search to a search server (not shown) connected via the network based on a search condition including the keywords “new book” and “reason novel”. As a result, information on the network related to both the “new book” and the “reason novel” is presented to the user as a search result. That is, the mobile terminal device 500 according to the present embodiment is a keyword related to the keyword “newly published book”, which is a huge amount of information hit when the keyword “newly published book” entered by the user is used as a search condition. In addition, the information can be narrowed down to information related to the “reason novel” that is a keyword suitable for the user's preference.

  As described above, in this embodiment, first, a keyword corresponding to the user's preference and behavior pattern is extracted from the usage history of the own device and stored in the keyword storage unit 503. In this embodiment, when a predetermined keyword is input by the user, a keyword related to the keyword is taken out from the keyword storage unit 503 and added to the search condition, so that the user's personal preference and behavior pattern can be obtained. The search result suitable for the user can be presented.

  Therefore, in this embodiment, it is possible to perform a search suitable for the user's personal preference and behavior pattern.

  Next, a mobile terminal device, an information search method, and an information search program according to the second embodiment will be described. First, an information search method according to the present embodiment will be described. FIGS. 2-1 and 2-2 are diagrams for explaining the information search method according to the present embodiment. In the following, a case will be described in which the use history of electronic money or the like stored in an IC card built in the mobile terminal device is used as an example of the use history by the user.

  The mobile terminal device according to the present embodiment requests an information search based on a search condition input by a user from a search server connected via a network. In particular, the mobile terminal device according to the present embodiment, when a predetermined keyword is input as a search condition by the user, the keyword related to the keyword extracted from the use history of the IC card built in the own device is used as the search condition. Add to

  Specifically, as illustrated in FIG. 2A, the mobile terminal device 1 according to the present embodiment incorporates an IC card 20. The IC card 20 is a non-contact type IC card that performs non-contact data communication with an external reading device, and is used, for example, in an electronic money system, a ticket gate system for transportation, a coupon, or the like.

  The IC card 20 stores electronic money history, transportation history, coupon history, and the like as usage history information of the device itself. For example, the IC card 20 stores information such as the name of the purchased product and the name of the store where the product was purchased as the electronic money history. The portable terminal device 1 according to the present embodiment extracts a predetermined character string determined in advance from the electronic money history, the transportation history, and the coupon history, and stores it in the search keyword storage unit 32 as a search keyword. Execute keyword extraction processing.

  Specifically, the mobile terminal device 1 executes keyword extraction processing using the keyword extraction unit 47 and the keyword data storage unit 33. The keyword data storage unit 33 is a storage unit that stores in advance all the character strings that become keywords. Then, when the character string stored in the keyword data storage unit 33 is included in the usage history of the IC card 20, the keyword extraction unit 47 extracts the character string as a keyword and stores it in the search keyword storage unit 32. To do.

  The keyword data storage unit 33 stores a plurality of keywords classified into a plurality of categories. Further, depending on the content of the character string extracted from the usage history of the IC card 20, the keyword extraction unit 47 stores not the character string itself but the classification to which the character string belongs in the search keyword storage unit 32 as a keyword.

  As a result, a search keyword table as shown in FIG. For example, in the search keyword table, as shown in FIG. 2A, a character string “new book” extracted based on the usage history of the IC card 20 as a keyword belonging to category 1 “book” and category 2 “new and old type”. Is stored. Similarly, in the search keyword table, “reason novel” is stored as a keyword belonging to category 1 “book” and category 2 “genre”, and “kawasaki” is assigned as a keyword belonging to category 1 “commuting” and category 2 “place name”. Is memorized.

  The search keyword table stores relevance information that is information indicating relevance between categories of category 2. For example, in the search keyword table, as shown in FIG. 2-1, as the relevance information corresponding to the category 2 “old and new types” (A), the category 2 “new and old types” (A) is classified into the category 2 “genre”. Information “B, C” indicating that it is related to (B) and classification 2 “place name” (C) is stored. Similarly, the search keyword table indicates that the category 2 “genre” (B) is related to the category 2 “new and old type” (A) as relevance information corresponding to the category 2 “genre” (B). Information “A” is stored. Similarly, the search keyword table indicates that the classification 2 “place name” (C) is related to the classification 2 “new and old type” (A) as the relevance information corresponding to the classification 2 “place name” (C). Information “A” is stored. In addition, the relevance of each classification is determined based on the information search by the search condition containing the several keyword which the user performed in the past.

  Then, when a predetermined keyword is input as a search condition by the user, the mobile terminal device 1 according to the present embodiment selects the keyword input by the user from the keywords stored in the search keyword storage unit 32. Get related keywords and add to search criteria.

  For example, as shown in FIG. 2B, it is assumed that the keyword “new book” is input as a search condition by the user on a predetermined search screen. In such a case, the mobile terminal device 1 acquires a keyword related to the “new book” from the search keyword table and adds it to the search condition.

  Specifically, the mobile terminal device 1 refers to the search keyword table shown in FIG. 2A, and relates to the relevance information “B, C” corresponding to the classification 2 “new and old type” (A) to which the keyword “new book” belongs. ], It is determined that the category 2 “genre” (B) and the category 2 “place name” (C) are related to the category 2 “new and old type” (A). Then, the mobile terminal device 1 searches the character string “reasonary novel” belonging to category 3 belonging to category 2 “genre” (B) and the character string “kawasaki” belonging to category 3 belonging to category 2 “place name” (C). “Mystery novel” and “Kawasaki” are added to the search condition including the keyword “new book” input from the keyword table and input by the user.

  Then, the mobile terminal device 1 makes a search request to a search server (not shown) connected via the network based on the search condition “newly published book & reasoning novel & Kawasaki” to which the keywords “reason novel” and “Kawasaki” are added. I do. As a result, for example, “new book” such as “AA Mystery, Kawasaki Shoten”, “BB no Yado, Kawasaki Shoten”, “CC Travel, Kawasaki Shoten” shown in FIG. The search results narrowed down to the information related to “reason novel” and “Kawasaki” are presented. Here, the keywords “reason novel” and “Kawasaki” added to the search condition are keywords extracted from the usage history of the IC card 20, that is, keywords according to the user's preference and behavior pattern. In addition, the search keyword table indicates that these keywords are related to the keyword “new book” entered by the user. Therefore, it can be said that the search result is a search result for the user who has extracted information suitable for the user's preference and behavior pattern from the information hit using the keyword “new book” as a search condition.

  As described above, in the information search method according to the present embodiment, only information suitable for the user's preference and behavior pattern estimated based on the usage history of the IC card 20 from the enormous amount of information existing on the network. Can be taken out and presented as a search result. As a result, the user can quickly and accurately reach the information he needs, for example.

  Next, the configuration of the mobile terminal device according to the present embodiment will be described. FIG. 3 is a block diagram of the configuration of the mobile terminal device according to the second embodiment.

  The mobile terminal device 1 according to the present embodiment corresponds to, for example, a mobile phone, a PHS (Personal Handyphone System), a PDA (Personal Digital Assistant), a portable personal computer having a communication function, and the like. In the following, description will be made centering on portions closely related to the present embodiment. Other portions are the same as those of the conventional portable terminal device, and thus the description thereof will be omitted or simplified.

  As illustrated in FIG. 3, the mobile terminal device 1 according to the present embodiment includes a wireless unit 11, a speaker 12, a microphone 13, an operation unit 14, an LCD 15, an IC card communication unit 16, and an IC card 20. Is provided. The mobile terminal device 1 includes a storage unit 30 and a control unit 40.

  The wireless unit 11 transmits and receives wireless signals via an antenna. The speaker 12 is a voice output unit that outputs a ringing tone or voice when, for example, an incoming call is received or an e-mail is received. The microphone 13 is a sound collection unit that collects a user's voice or the like during voice communication. The operation unit 14 receives various input operations from the user. The operation unit 14 includes, for example, a numeric keypad, operation keys, a rotation selector, a cursor, a cross key, a setting key, a completion key, a clear key, and a power key. The LCD 15 is a display unit that displays characters and images. Note that the display unit is not necessarily an LCD, and may be, for example, an organic EL display or an electronic paper display. The IC card communication unit 16 is a communication interface between the IC card 20 and the control unit 40.

  The IC card 20 is a non-contact IC unit that performs non-contact data communication with an external reading device. The IC card 20 includes an IC card communication unit 21, a use history storage unit 22, and a control unit 23. The IC card communication unit 21 is a communication interface between the IC card 20 and the control unit 40.

  The usage history storage unit 22 stores an electronic money history, a transportation history, a coupon history, and the like as the usage history of the IC card 20. Here, the contents of the electronic money history information stored in the usage history storage unit 22 will be described. FIG. 4A is a diagram illustrating an example of electronic money history information stored in the usage history storage unit 22.

  As illustrated in FIG. 4A, the usage history storage unit 22 stores “date”, “store”, “product”, and “amount” as electronic money history information in association with each other. Here, the “date” is the date on which the product is purchased using the IC card 20. More specifically, the “date” is a date when non-contact data communication is performed between the IC card 20 and the external reader installed in the store where the product is sold. “Store” is the name of the store where the product is purchased. “Product” is the product name of the purchased product. “Amount” is the amount of the purchased product.

  For example, in the electronic money history information shown in FIG. 4A, the date “May 10, 2009”, the store “△△ bookstore”, the product “name detective AA”, and the amount “XX yen” are included. It is stored in association. Such information is obtained by using the IC card 20 incorporated in the mobile terminal device 1 by the user on “May 10, 2009” in the “△△ bookstore” with a product “named detective AA” as “XX yen”. It shows that it purchased with.

  The contents of the transportation history information stored in the use history storage unit 22 will be described. FIG. 4B is a diagram of an example of the transportation history information stored in the usage history storage unit 22.

  As shown in FIG. 4B, “date”, “transportation”, “boarding station”, “disembarking station”, and “money” are stored in the usage history storage unit 22 in association with each other as transportation history information. Is done. Here, the “date” is, for example, the date on which the ticket gate of the station is passed to get on the train. More specifically, the “date” is the date and time when non-contact data communication is performed between the external reader installed at the ticket gate of the station and the IC card 20. “Transportation” is the name of the transportation used. “Boarding station” is the name of the boarding station. “Getting off station” is the name of the station that got off. “Amount” is the amount of money spent for transportation.

  For example, the transportation history information shown in FIG. 4-2 includes the date “May 10, 2009”, transportation “XX Railway”, boarding station “Shinbashi”, disembarking station “Kawasaki”, "XX circle" is stored in association with each other. Such information is obtained by using the IC card 20 built in the portable terminal device 1 by using “XX Railway” from “Shinbashi” station to “Kawasaki” station on “May 10, 2009”. It is remembered that “○○ yen” was paid.

  As described above, the usage history storage unit 22 corresponds to an example of a history information storage unit that stores a usage history by a user, and stores data transmitted and received between the external reader and the IC card 20 as a usage history by the user. To do.

  The control unit 23 controls the entire IC card 20. For example, the control unit 23 controls non-contact data communication with the external reading device. In addition, the control unit 23 stores an electronic money history, a transportation facility history, a coupon history, or the like in the usage history storage unit 22 as a usage history. Further, the control unit 23 transmits usage history information such as electronic money history stored in the usage history storage unit 22 to the control unit 40 via the IC card communication units 16 and 21 based on an instruction from the control unit 40. .

  The storage unit 30 stores data, programs, and the like necessary for executing various processes by the control unit 40. In particular, as closely related to the present embodiment, the storage unit 30 includes a user data storage unit 31, a search keyword storage unit 32, and a keyword data storage unit 33.

  The user data storage unit 31 stores user data. Examples of user data include outgoing call history data, incoming call history data, schedule book data, address book data, and e-mail data.

  The keyword data storage unit 33 has a keyword data management table, and stores in advance all character strings to be extracted as keywords from the usage history storage unit 22 of the IC card 20. FIG. 5 shows an example of a keyword data management table stored in the keyword data storage unit 33. As shown in the figure, the keyword data management table stores a plurality of character strings that can be keywords as classified from classification 1 to classification 3.

  The keyword data management table classifies and stores a plurality of character strings that can serve as keywords into broad categories (classification 1) such as “book”, “commuting”, and “food”. The keyword data management table further classifies the category of category 1 into a plurality of categories (category 2). For example, category 1 “book” is further classified into category 2 “old and new types”, “genre”, etc., category 1 “commuting” is classified into category 2 “place name”, “route name”, and the like. “Eating and drinking” is classified into category 2 “genre” and the like.

  Further, the keyword data management table further classifies the category of category 2 into a plurality of categories (category 3). For example, category 2 “new and old type” is classified into category 3 “newly published books”, “used books”, and the like. Similarly, category 2 “place name” is classified into category 3 “Tokyo”, “Shinbashi”, “Yokohama”, “Kawasaki”, etc., and category 2 “route name” is classified into categories 3 “xx railway”, “× ○ Railway, “□□ Line”, “XX Line”, “△△ Main Line”, etc. In this embodiment, these character strings belonging to classification 3 are character strings that can be keywords.

  In the keyword data management table, each character string of category 3 included in category 2 “genre” of category 1 “book” and each character string of category 3 included in category 2 “genre” of category 1 “food” Are associated with a plurality of matching patterns.

  Specifically, the category 2 “genre” of the category 1 “book” is classified into the category 3 “mystery novel”, “business”, “car”, “music”, “English conversation”, etc., and the category 1 “food”. The category 2 “genre” belonging to is classified into “Japanese food”, “Western food”, “Chinese food”, “Fast food”, “Noodles” and the like. Further, the keyword data management table stores these character strings belonging to the category 3 and a plurality of matching patterns in association with each other.

  For example, a character string “* mystery”, “name detective *”, “* murder case”, or the like is associated with the character string “mystery novel”. Similarly, the character string “Japanese food” is associated with character strings such as “* sushi”, “Japanese food *”, “* tei”, “* set meal”, “* 丼”, and the like as matching patterns. Thus, the matching pattern includes character strings that are often used for product names and store names.

  The search keyword storage unit 32 has a search keyword table, and accumulates keywords extracted from the use history storage unit 22 of the IC card 20. FIG. 6 shows an example of a search keyword table stored in the search keyword storage unit 32.

  As shown in FIG. 6, the search keyword table stores only the keywords extracted from the use history storage unit 22 of the IC card 20 among the keywords stored in the keyword data management table shown in FIG. For example, the search keyword table is an IC among the character strings “Tokyo”, “Shimbashi”, “Yokohama”, and “Kawasaki” of category 3 belonging to category 1 “commuting” and category 2 “place name” in the keyword data management table Only the character strings “Kawasaki” and “Shinbashi” extracted from the use history storage unit 22 of the card 20 are stored. The content of the keyword extraction process, which is a process of extracting a character string from the usage history storage unit 22 of the IC card 20, will be described later.

  In the search keyword table, relevance information is stored in association with each category belonging to category 2. The relevance information is information indicating the presence / absence of relevance between categories belonging to category 2. For example, as shown in FIG. 6, in the search keyword table, category 2 “place name” (C) is associated with relevance information “E” indicating that it is related to category 2 “genre” (E). . Similarly, category 2 “genre” (E) is associated with relevance information “C” indicating that it is related to category 2 “place name” (C).

  As described above, the search keyword storage unit 32 classifies the keywords extracted as the classification 3 from the use history storage unit 22 of the IC card 20 into a plurality of categories, and the category 2 and other classifications to which the keyword belongs. The association information is stored in association with the association information indicating the association with the second category.

  Further, the search keyword table stores usage frequency information in association with each character string belonging to classification 3. The usage frequency information is the number of times each character string belonging to the category 3 is used as a keyword in the search. For example, the search keyword table shown in FIG. 6 stores classification 3 “newly published books” and usage frequency information “44” in association with each other. That is, the search keyword table shown in FIG. 6 indicates that the character string “newly published book” has been used “44” times as a search keyword. Similarly, the search keyword table shown in FIG. 6 stores classification 3 “Kawasaki” and usage frequency information “27” in association with each other, and the character string “Kawasaki” is “27” times as a search keyword. Indicates that it has been used. Thus, the search keyword table stores the number of times each character string of classification 3 is used for search in association with the character string.

  The control unit 40 is a control unit that controls the mobile terminal device 1. In particular, as closely related to the present embodiment, the control unit 40 includes a radio control unit 41, a call control unit 42, a browser unit 43, a search processing unit 44, a display control unit 45, and an IC card control. Unit 46 and keyword extraction unit 47.

  The wireless control unit 41 controls transmission / reception of wireless signals in various communications such as telephone, electronic mail, and the Internet. The call control unit 42 performs control related to call connection such as establishment or disconnection of communication with another mobile terminal device or a fixed telephone as a communication partner.

  The browser unit 43 is activated when a user performs a predetermined operation using the operation unit 14, and acquires various information from the network by accessing a search server (not shown) connected via the network. For example, the browser unit 43 acquires a Web page having a predetermined URL (Uniform Resource Locator) from the network via the wireless unit 11 and the wireless control unit 41. Further, the browser unit 43 retrieves a search condition including a keyword input by the user using the operation unit 14 and a keyword added by the search processing unit 44 described later via the wireless unit 11 and the wireless control unit 41. Send to server. Then, the browser unit 43 acquires the information search result based on the search condition from the search server via the wireless unit 11 and the wireless control unit 41.

  The display control unit 45 performs display control on the LCD 15 according to the operation of the operation unit 14 by the user or the operation of the call control unit 42, the browser unit 43, and the like. In particular, the display control unit 45 displays information on the network acquired from the search server by the browser unit 43 on the LCD 15. The IC card control unit 46 gives various instructions to the control unit 23 of the IC card 20. For example, the IC card control unit 46 requests the use history information stored in the use history storage unit 22 from the control unit 23.

  The keyword extraction unit 47 extracts a predetermined character string determined in advance from the usage history stored in the usage history storage unit 22 as a keyword. Specifically, the keyword extraction unit 47 refers to the keyword data storage unit 33 and extracts a search keyword from the electronic money history, the transportation history, and the coupon history stored in the IC card 20, and the search keyword Store in the storage unit 32.

  Here, an example of the keyword extraction processing by the keyword extraction unit 47 will be described. First, an operation from extracting a keyword from electronic money history information stored in the use history storage unit 22 to storing it in a search keyword table will be described with reference to FIGS. 4-1, 5 and 6.

  The keyword extraction unit 47 determines whether or not the character string stored in the keyword data management table shown in FIG. 5 is included in the electronic money history information shown in FIG. Here, as shown in FIG. 4A, in the electronic money history information, “Detective AA”, “CC of Music”, “DD Fried Rice”, “EE Burger”, etc. are stored in the keyword data management table. A character string that matches the specified matching pattern is included. Therefore, the keyword extraction unit 47 determines that the character string stored in the keyword data management table is included in the electronic money history information, and the character strings “name detective AA”, “CC of music”, Extract “DD fried rice” and “EE burger”.

  Subsequently, the keyword extraction unit 47 adds the extracted character string to the search keyword table. Here, when the extracted character string is extracted as a character string that matches the matching pattern stored in the keyword data management table, the keyword extracting unit 47 corresponds to the character string instead of the character string. A character string of classification 3 is added to the search keyword table. For example, when a character string “Detective AA” that matches the matching pattern “Detective *” is extracted from the electronic money history information, the keyword extraction unit 47 replaces the character string with the matching pattern “Detective *”. A corresponding character string of “Class 3” is added to the search keyword table (see FIG. 5).

  Further, when adding a character string to the search keyword table, the keyword extraction unit 47 classifies and stores the character string in the same manner as the keyword data management table. That is, when adding the character string “reasonable novel” to the search keyword table, the keyword extracting unit 47 associates the character string “reasonable novel” with the category 1 “book” and the category 2 “genre”, and class 3 Is stored as a character string belonging to. Thereby, as shown in FIG. 6, “reason novel” is stored in the search keyword table as a character string of category 3 belonging to category 1 “book” and category 2 “genre”.

  Next, an operation from extracting a keyword from the transportation history information stored in the use history storage unit 22 to storing it in the search keyword table will be described with reference to FIGS. 4-2, 5, and 6.

  The keyword extraction unit 47 determines whether or not the character string stored in the keyword data management table shown in FIG. 5 is included in the transportation history information shown in FIG. Here, as shown in FIG. 4B, in the transportation history information, the character strings “XX train”, “XX line”, “△△ main line”, “ “Shimbashi” and “Kawasaki” are remembered. Therefore, the keyword extracting unit 47 determines that the character string stored in the keyword data management table is included in the transportation history information, and the character string “XX railway”, “XX line”, Extract “△△ Main Line”, “Shinbashi”, “Kawasaki”.

  Subsequently, the keyword extraction unit 47 adds the extracted character string to the search keyword table. For example, when the character string “xx railroad” is extracted from the transportation history information, the keyword extraction unit 47 adds the character string “xx railroad” to the search keyword table. Further, when adding a character string to the search keyword table, the keyword extraction unit 47 classifies and stores the character string in the same manner as the keyword data management table. That is, when adding the character string “XX railroad” to the search keyword table, the keyword extracting unit 47 associates the character string “XX railroad” with classification 1 “commuting” and classification 2 “route name”. , And stored as a classification 3 character string. Accordingly, as shown in FIG. 6, “xx railway” is stored in the search keyword table as a character string of category 3 belonging to category 1 “commuting” and category 2 “route name”.

  The keyword extraction unit 47 executes such keyword extraction processing at a predetermined timing. Specifically, the keyword extraction unit 47 is executed once a day, for example, at 3 am every day. However, the present invention is not limited to this, and the keyword extraction process may be executed based on a user operation on the operation unit 14.

  The search processing unit 44 acquires a keyword related to the keyword included in the search condition input by the user from the search keyword storage unit 32 and adds it to the search condition. Specifically, when the control unit 40 first receives a predetermined operation on the operation unit 14 by the user, the control unit 40 stores in advance in a search screen acquired from the network using the browser unit 43 or a predetermined area of the storage unit 30. The retrieved search screen is displayed on the LCD 15 using the display control unit 45. Subsequently, when a search screen is displayed on the LCD 15, the user uses the operation unit 14 to input a predetermined keyword as a search condition in an input box in the search screen and instruct the search execution.

  When the search execution is instructed by the user, the search processing unit 44 acquires the search condition input in the input box, and acquires the keyword related to the keyword included in the acquired search condition from the search keyword storage unit 32. For example, when the keyword “new publication” is included in the acquired search condition, the search keyword storage unit 32 uses the relevance information associated with the category 2 “new and old type” that includes the keyword. It is assumed that the classification 2 “old and new types” (A) and the classification 2 “genre” (B) are related. In such a case, the search processing unit 44 extracts the character string of category 3 included in the category 2 “genre” (B) from the search keyword storage unit 32.

  Here, when the search processing unit 44 extracts keywords from the search keyword storage unit 32, the search processing unit 44 preferentially extracts keywords that are frequently used for the search. Specifically, when a plurality of classification 3 character strings are included in the classification 2 category related to the classification 2 category including the keyword input by the user, from among the plurality of classification 3 character strings, A character string with a large value of usage frequency information is extracted preferentially.

  For example, it is assumed that the category 2 “new and old type” (A) including the keyword “new book” input by the user is related to the category 2 “genre” (B). In such a case, the search processing unit 44 uses the character string “reason novel”, “business”, “car”, “music”, and “English conversation” of category 3 included in category 2 “genre” (B). Three keywords with large frequency information values are selected. For example, as shown in FIG. 6, the usage frequency information corresponding to the character string of each classification 3 is “22” for “mystery novel”, “17” for “business”, “4” for “car”, “music” When “1” is “1” and “English conversation” is “2”, the search processing unit 44 acquires “reason novel”, “business”, and “car” from the search keyword storage unit 32.

  And the search process part 44 adds the character string of the classification | category 3 acquired from the search keyword memory | storage part 32 to a search condition as a keyword. Here, as described above, when a plurality of character strings belonging to the same category 3 are extracted as keywords related to the keyword input by the user, the search processing unit 44 uses the plurality of character strings as a search condition. Are added one by one to generate a plurality of search conditions.

  For example, when “reasonable novel”, “business”, and “car” are extracted from the search keyword storage unit 32 as keywords related to the keyword “new publication book” input by the user, the search processing unit 44 sets “new publication” respectively. Three search conditions of “Book & Reasoning Novel”, “New Book & Business”, and “New Book & Car” are generated. As described above, the search processing unit 44 generates a plurality of patterns of search conditions in which keywords related to keywords included in the search conditions input by the user are added to the search conditions.

  The search condition generated by adding a keyword related to the keyword input by the user is transmitted to the search server by the browser unit 43 via the wireless unit 11 and the wireless control unit 41.

  In addition, when a plurality of keywords are included in the search condition input by the user, the search processing unit 44 includes the category in the relevance information corresponding to each category of category 2 including the plurality of keywords. Information indicating that it is related to another category 2 including the keyword included in the search condition is added.

  For example, it is assumed that three keywords “new book”, “business”, and “Shinbashi” are included in the search condition input by the user. In this case, the search processing unit 44 applies each classification 2 to the relevance information of the classification 2 “new and old classification” (A), “genre” (B), and “place name” (C) each including these three keywords. However, the information which shows having related with the other classification | category 2 is added. That is, the search processing unit 44 sets information “relationship information of category 2“ new and old type ”(A) to category 2“ genre ”(B) and category 2“ place name ”(C). B, C "are added. Similarly, the search processing unit 44 indicates that the relevance information of the category 2 “genre” (B) is related to the category 2 “old and new types” (A) and the category 2 “place name” (C). Add “A, C”. Similarly, the search processing unit 44 indicates that the relevance information of the category 2 “place name” (C) is related to the category 2 “old and new types” (A) and the category 2 “genre” (B). Add “A, B”.

  Next, a specific operation of the mobile terminal device 1 according to the present embodiment will be described. First, a processing procedure of keyword extraction processing by the keyword extraction unit 47 will be described. FIG. 7 is a flowchart showing the processing procedure of the keyword extraction processing.

  As shown in FIG. 7, first, the keyword extraction unit 47 determines whether or not a predetermined period has arrived (step S101). Specifically, the keyword extraction unit 47 determines whether or not the time has reached 3:00 am. In this process, when it is determined that the predetermined period has come (Yes at Step S101), the keyword extracting unit 47 refers to the electronic money history information in the usage history storage unit 22 (Step S102).

  Specifically, the keyword extraction unit 47 first requests the IC card control unit 46 to transmit electronic money history information. Subsequently, based on the request, the IC card control unit 46 requests the control unit 23 of the IC card 20 to transmit electronic money history information. Subsequently, the control unit 23 that has received such a request transmits the electronic money history information stored in the use history storage unit 22 to the IC card control unit 46 via the IC card communication units 16 and 21. Then, the IC card control unit 46 passes the electronic money history information acquired from the control unit 23 to the keyword extraction unit 47, and the keyword extraction unit 47 refers to the acquired electronic money history information.

  Subsequently, the keyword extraction unit 47 determines whether or not a new keyword is included in the electronic money history information (step S103). That is, the keyword extraction unit 47 determines whether or not the electronic money history information includes a character string stored in the keyword data management table and not yet stored in the search keyword table. judge. In this process, when it is determined that the new keyword is included in the electronic money history information (Yes at Step S103), the keyword extracting unit 47 adds the new keyword to the search keyword table (Step S104). .

  The keyword extraction unit 47 corresponds to the matching pattern that matches the character string when the electronic money history information includes a character string that matches the matching pattern stored in the keyword data management table. It is determined whether or not the converted character string is not yet stored in the search keyword table. If the converted character string is not yet stored in the search keyword table, the converted character string is added to the search keyword table.

  Subsequently, the keyword extraction unit 47 refers to the transportation history information in the usage history storage unit 22 (step S105). Specifically, the keyword extraction unit 47 performs the same processing as that for acquiring electronic money history information, and acquires transportation agency history information from the usage history storage unit 22.

  Subsequently, the keyword extraction unit 47 determines whether or not a new keyword is included in the transportation history information (step S106). That is, the keyword extraction unit 47 determines whether the transportation history information includes a character string stored in the keyword data management table and not yet stored in the search keyword table. judge. In this process, when it is determined that the new keyword is included in the transportation history information (Yes at Step S106), the keyword extracting unit 47 adds the new keyword to the search keyword table (Step S107). .

  Subsequently, the keyword extraction unit 47 refers to the coupon history information in the usage history storage unit 22 (step S108). Specifically, the keyword extraction unit 47 performs the same process as when acquiring electronic money history information, and acquires coupon history information from the usage history storage unit 22.

  Subsequently, the keyword extraction unit 47 determines whether or not a new keyword is included in the coupon history information (step S109). That is, the keyword extraction unit 47 determines whether the coupon history information includes a character string stored in the keyword data management table and not yet stored in the search keyword table. To do. In this process, when it is determined that the new keyword is included in the coupon history information (Yes at Step S109), the keyword extracting unit 47 adds the new keyword to the search keyword table (Step S110).

  When the process of step S110 is completed, or when a predetermined period has not arrived at step S101 (No at step S101), or when a new keyword is not included in the usage history at steps S103, S106, S109 (Step S103 negative, step S106 negative, step S109 negative), the keyword extraction part 47 transfers a process to step S101.

  Subsequently, a processing procedure of history search processing will be described. FIG. 8 is a flowchart showing the processing procedure of the history search processing.

  As shown in FIG. 8, when the history search process is started, the search processing unit 44 determines whether or not a search condition has been input (step S201). Specifically, the search processing unit 44 determines whether or not a predetermined keyword is input to an input box of a predetermined search screen and a search execution is instructed by a user operation on the operation unit 14. In this process, when it is determined that the search condition has been input (Yes at Step S201), the search processing unit 44 acquires the search condition and moves the process to Step S202.

  In step S202, the search processing unit 44 determines whether or not a plurality of keywords are included in the acquired search condition. In this process, when it is determined that the acquired search condition includes a plurality of keywords (Yes at Step S202), the search processing unit 44 analyzes a combination pattern of categories to which the plurality of keywords belong (Step S203). Then, the search processing unit 44 updates the relevance information stored in the search keyword table based on the combination of categories obtained by the analysis (step S204).

  When the process of step S204 is completed, or when a plurality of keywords are not included in the search condition in step S202 (No in step S202), the search processing unit 44 is based on the relevance information stored in the search keyword table. The keyword is added to the search condition input by the user (step S205). Specifically, the search processing unit 44 acquires a keyword related to the keyword included in the search condition input by the user from the search keyword table and adds it to the search condition.

  Subsequently, the search processing unit 44 executes a search based on the search condition generated by adding a keyword related to the keyword included in the search condition input by the user (step S206). Specifically, the search processing unit 44 passes the generated search condition to the browser unit 43. As a result, the search condition generated by the search processing unit 44 is transmitted to the search server by the browser unit 43 via the wireless unit 11 and the wireless control unit 41, and the search server transmits the search condition on the network based on the search condition. Information retrieval is performed. When the information search is completed, the search server transmits the search result to the mobile terminal device 1 via the network. The search result transmitted by the search server is acquired by the browser unit 43 via the wireless unit 11 and the wireless control unit 41.

  Subsequently, the display control unit 45 displays the search condition generated by the search processing unit 44 and the number of search hits corresponding to the search condition on the LCD 15 (step S207). When a plurality of search conditions are generated by the search processing unit 44, the display control unit 45 displays the search conditions and the number of search hits corresponding to the search conditions on the LCD 15 for each search condition.

  Subsequently, the search processing unit 44 determines whether or not a search result selection operation has been performed (step S208). Specifically, the search processing unit 44 determines whether an operation for selecting one search condition from the search conditions displayed on the LCD 15 has been performed using the operation unit 14. In this process, if it is determined that a search result selection operation has been performed (Yes at Step S208), the display control unit 45 displays details of the selected search result on the LCD 15 (Step S209).

  Subsequently, the search processing unit 44 updates the keyword usage frequency information included in the search condition selected in step S208 (step S210). That is, even when a plurality of search conditions are generated, the search processing unit 44 updates only the keyword use frequency information included in the search conditions corresponding to the search result whose detailed information is browsed by the user.

  When the process of step S210 is completed, or when a search result selection operation is not performed in step S208 (No in step S208), the control unit 40 ends the history search process.

  Here, with reference to FIG. 9 to FIG. 10B, a history search process in the case where a plurality of keywords are included in the search condition input by the user will be specifically described with an example. FIG. 9 is a diagram for explaining a specific example of the history search process when a plurality of keywords are included in the search condition input by the user. FIG. 10A is a diagram for explaining the case where the relevance information of the search keyword table is updated, and FIG. 10B is the case where the usage frequency information of the search keyword table is updated. FIG.

  As shown in FIG. 9, it is assumed that a search condition “new publication book & business & shimbashi” including three keywords “new publication book”, “business”, and “Shinbashi” is acquired from the user (step S301). In such a case, the search processing unit 44 first analyzes the category combination pattern (step S302). Specifically, the search processing unit 44 specifies the category of each keyword for the keywords “new book”, “business”, and “Shinbashi” stored as classification 3 in the search keyword table.

  That is, the search processing unit 44 refers to the search keyword table and specifies that the category of the keyword “new book” is classification 2 “new and old classification” (A) of classification 1 “book”. Similarly, the search processing unit 44 refers to the search keyword table, specifies that the category of the keyword “business” is the category 2 “genre” (B) of the category 1 “book”, and the keyword “Shinbashi”. Is identified as category 1 “commuting” category 2 “place name” (C). Thereby, the search processing unit 44 has the combination pattern of the categories of the keywords included in the search condition acquired from the user as “(A) book: old and new type (B) book: genre (C) commute: place name”. Identify that.

  Subsequently, relevance information is added to the search keyword table based on the combination pattern of the categories identified in step S302 (step S303). Specifically, the search processing unit 44 adds information indicating that the identified category 2 categories are related to each other to the association information corresponding to each category 2 category.

  That is, the search processing unit 44 adds the classification 2 “genre” (B) and the classification 1 “commuting” to the relevance information corresponding to the classification 2 “new and old classification” (A) of the classification 1 “book”. "B, C" indicating that it is related to the category 2 "place name" (C). In addition, the search processing unit 44 adds the classification 1 “book” classification 2 “new and old classification” (A) and the classification 1 “commuting” to the relevance information corresponding to the classification 1 “book” classification 2 “genre” (B). "A, C" indicating that it is related to the classification 2 "place name" (C). In addition, the search processing unit 44 adds the classification 1 “book” classification 2 “new and old classification” (A) and the classification 1 “book” to the relevance information corresponding to the classification 1 “commuting” classification 2 “place name” (C). "A, B" indicating that it is related to category 2 "genre" (B).

  As a result of this processing, as shown in FIG. 10A, “B, C” is added to the relevance information corresponding to the classification 2 “new and old classification” (A) of the classification 1 “book” in the search keyword table. . Similarly, in the search keyword table, “A, C” is added to the relevance information corresponding to category 2 “genre” (B) of category 1 “book”, and category 2 “place name” of category 1 “commuting”. “A, B” is added to the relevance information corresponding to (C).

Subsequently, the search processing unit 44 adds a keyword related to the keyword included in the search condition to the search condition acquired from the user (step S304). Here, when the search condition input by the user includes a plurality of keywords, the search processing unit 44
A plurality of search conditions having the same category combination pattern as the search conditions are generated.

  For example, the search processing unit 44 replaces the keyword “business” in the search condition “newly published book & business & Shinbashi” input by the user with the keyword “inference novel” in the same category 2 “genre” (B). , And instead of the keyword “Shinbashi”, the search condition “newly published book & reasoning novel & Kawasaki” with the keyword “Kawasaki” in the same classification 2 “place name” (C) is generated. Similarly, the search processing unit 44 replaces the keyword “Shinbashi” with the keyword “Kawasaki” of the same classification 2 “place name” (C) in the search condition “new book & business & Shinbashi” input by the user. The new search condition “New Book & Business & Kawasaki” is generated.

  Subsequently, the search processing unit 44 passes the search condition generated in step S304 to the browser unit 43, and transmits the search condition to the search server via the wireless unit 11 and the wireless control unit 41 by the browser unit 43. When the search result is acquired from the search server, the display control unit 45 displays each search condition and the number of search hits corresponding to the search condition on the LCD 15 (step S305). As a result, the LCD 15 displays, for example, “newly published books & business & 10 Shinbashi”, “newly published books & mystery novels & 20 Kawasaki”, “newly published books & business & 30 Kawasaki”, etc. The number of search hits corresponding to the condition is displayed.

  When each search condition and the number of search hits corresponding to the search condition are displayed on the LCD 15, the user selects a search result to be browsed by operating the operation unit 14. For example, when the user wants to view the search result of the search condition “new book & reasoning novel & Kawasaki”, the user operates the operation unit 14 in the column of “new book & reasoning novel & Kawasaki 20 cases” displayed on the LCD 15. To select.

  When the selection operation by the user is performed, the display control unit 45 displays the details of the search result selected by the user on the LCD 15 (step S306). As a result, the search results corresponding to the search condition “new book & mystery novel & Kawasaki” selected by the user are displayed on the LCD 15 as “AAA Mystery Kawasaki Shoten”, “BBB no Yado Kawasaki Shoten”, “CCC Travel “Kawasaki Shoten” or the like is displayed on the LCD 15.

  Subsequently, the search processing unit 44 updates the keyword use frequency information included in the search condition selected by the user among the use frequency information stored in the search keyword table (step S307). Specifically, the search processing unit 44 adds one each of the usage history information of the keywords “new book”, “reason novel”, and “Kawasaki” included in the search condition selected by the user. As a result, as shown in FIG. 10B, in the search keyword table, the usage frequency information corresponding to the keyword “new publication book” is updated from “44” to “45”. Similarly, in the search keyword table, the usage frequency information corresponding to the keyword “reason novel” is updated from “22” to “23”, and the usage frequency information corresponding to the keyword “Kawasaki” is changed from “27” to “28”. Updated. When the process is finished, the control unit 40 ends the history search process.

  Next, with reference to FIG. 11, the history search process when only one keyword is included in the search condition input by the user will be specifically described with an example. FIG. 11 is a diagram for explaining a specific example of the history search process when only one keyword is included in the search condition input by the user.

  As shown in FIG. 11, it is assumed that a search condition “new book” including only “new book” as a keyword is acquired from the user (step S401). In such a case, the search processing unit 44 first identifies a category related to the keyword included in the acquired search condition based on the relevance information stored in the search keyword table (step S402). Specifically, as illustrated in FIG. 10B, the search processing unit 44 refers to the relevance information “B, C” of the classification 2 “new and old type” to which the acquired keyword “new publication book” belongs. As a result, the search processing unit 44 specifies the category 2 “genre” (B) of category 1 “book” and the category 2 “place name” (C) of category 1 “commuting” as categories related to the keyword “new book”. To do.

  Subsequently, based on the usage frequency information stored in the search keyword table, the search processing unit 44 adds a keyword related to the keyword “new book” input by the user to the search condition (step S403). Specifically, in step S402, the search processing unit 44 preferentially extracts a keyword having a large use frequency information value from the keywords in the category specified as the category related to the keyword “new publication book”, and sets the search condition. Add to

  That is, the search processing unit 44 includes the keywords “reason novel”, “business”, “car”, “music”, and “English conversation” of category 3 belonging to category 2 “genre” (B) of category 1 “book”. Then, the three keywords “reason novel”, “business”, and “car” with high values of the usage frequency information are added to the search condition. In addition, the search processing unit 44 uses the keyword “Kawasaki” having a high use frequency information value among the keywords “Kawasaki” and “Shinbashi” of the category 3 belonging to the category 2 “place name” (C) of the category 1 “commuting”. To the search criteria.

  In this way, the search processing unit 44 adds a plurality of search conditions “new book & mystery & Kawasaki”, “new book & business & Kawasaki” to which a keyword related to the keyword “new book” input by the user is added. , Generate "new book & car & Kawasaki". Subsequently, the search processing unit 44 passes the generated search condition to the browser unit 43, and transmits the search condition to the search server via the wireless unit 11 and the wireless control unit 41 by the browser unit 43. When the search result is acquired from the search server, the display control unit 45 displays each search condition and the number of search hits corresponding to the search condition on the LCD 15 (step S404). As a result, the LCD 15 displays, for example, “newly published books & mystery novels & 20 Kawasaki”, “newly published books & business & 30 Kawasaki”, “newly published books & cars & 5 Kawasaki”, etc. The number of search hits corresponding to the condition is displayed.

  When each search condition and the number of search hits corresponding to the search condition are displayed on the LCD 15, the user selects a search result to be browsed by operating the operation unit 14. For example, when the user wants to view the search result of the search condition “new book & reasoning novel & Kawasaki”, the user operates the operation unit 14 in the column of “new book & reasoning novel & Kawasaki 20 cases” displayed on the LCD 15. To select.

  When the selection operation by the user is performed, the display control unit 45 displays the details of the search result selected by the user on the LCD 15 (step S405). As a result, the search results corresponding to the search condition “new book & mystery novel & Kawasaki” selected by the user are displayed on the LCD 15 as “AAA Mystery Kawasaki Shoten”, “BBB no Yado Kawasaki Shoten”, “CCC Travel “Kawasaki Shoten” or the like is displayed on the LCD 15.

  Subsequently, the search processing unit 44 updates the keyword use frequency information included in the search condition selected by the user from the use frequency information stored in the search keyword table (step S406). Specifically, the search processing unit 44 adds one each of the usage history information of the keywords “new book”, “reason novel”, and “Kawasaki” included in the search condition selected by the user. When the process is finished, the control unit 40 ends the history search process.

  As described above, in this embodiment, first, keywords corresponding to the user's preference and behavior pattern are extracted from the usage history of the IC card 20 and stored in the search keyword table. In this embodiment, when a predetermined keyword is input by the user, a keyword related to the keyword is extracted from the search keyword table and added to the search condition, and the search is executed. As a result, only information suitable for the user's preference and behavior pattern is presented to the user as a search result from the enormous amount of information existing on the network. You can reach it. Therefore, in this embodiment, it is possible to perform a search suitable for the user's personal preference and behavior pattern.

  In the present embodiment, the search keyword table stores the keywords extracted from the usage history storage unit 22 in association with the number of times the keywords have been used for the search. In this embodiment, when a keyword related to a keyword included in the search condition input by the user is acquired from the search keyword table, a keyword that is frequently used for the search is acquired preferentially. Therefore, in the present embodiment, a search result that is more suitable for the user's preference can be presented to the user.

  Further, in the present embodiment, the search keyword table classifies the keywords extracted from the usage history storage unit 22 into a plurality of categories and corresponds to relevance information indicating the relevance between the category to which the keyword belongs and other categories. Add and remember. In this embodiment, when a plurality of keywords are included in the search condition input by the user, other keywords whose category is included in the search condition with respect to the relevance information of the category to which the plurality of keywords respectively belong. Add information indicating that it is related to the category to which it belongs. Thus, in this embodiment, the relevance information is generated based on the search conditions used by the user in the past. In other words, in this embodiment, by using the user-specific relevance rather than the general relevance as the relevance between the categories, a search result that is more suitable for the user's preference and behavior pattern is presented to the user. Can do.

  Also, in this embodiment, a plurality of search conditions are generated by adding keywords related to the keywords included in the search conditions input by the user to the search conditions, so that search results suitable for the user's preference and behavior pattern are generated. This can be presented to the user more reliably.

  By the way, the function equivalent to the portable terminal device 1 is also realizable by mounting the function of the portable terminal device 1 in Example 2 as software, and running this software with a portable terminal device. Below, an example of the portable terminal device which performs the standby image switching program which mounted the function of the portable terminal device 1 as software is shown. FIG. 12 is a block diagram illustrating a mobile terminal device that executes an information search program.

  As illustrated in FIG. 12, the mobile terminal device 600 includes a wireless unit 610, a speaker 620, a microphone 630, an operation unit 640, an LCD 650, and an IC card 660. These correspond to the wireless unit 11, the speaker 12, the microphone 13, the operation unit 14, the LCD 15, and the IC card 20 shown in FIG. The mobile terminal device 600 includes a CPU (Central Processing Unit) 670 that executes various arithmetic processes, a nonvolatile memory 680 that stores various information, and a RAM (Random Access Memory) 690. In addition, the mobile terminal device 600 connects these to each other via a bus 700.

  The nonvolatile memory 680 stores an information search program that exhibits the same function as in the present embodiment, that is, a keyword extraction program 681, a keyword storage program 682, and a search processing program 683.

  The CPU 670 reads the keyword extraction program 681, the keyword storage program 682, and the search processing program 683 from the nonvolatile memory 680 and expands them in the RAM 690, so that each of the programs 681 to 683 has a keyword extraction process 691 and a keyword storage process, respectively. 692 functions as a search processing process 693. Thus, the CPU 670 corresponds to the control unit 40 shown in FIG.

  The nonvolatile memory 680 has a search keyword storage unit 684. The CPU 670 reads out information stored in the search keyword storage unit 684 and stores it in the RAM 690, and the processes 691 to 693 execute various processes using data stored in the RAM 690.

  As described above, some of the embodiments of the present invention have been described in detail with reference to the drawings. The present invention can be implemented in other forms that have been modified or improved.

  For example, although cases have been described with the above embodiments where the use history of electronic money or the like stored in the built-in IC card 20 is used as an example of the use history by the user, the present invention is not limited to this. For example, outgoing call history data, incoming call history data, schedule book data, address book data, e-mail data, and the like stored in the user data storage unit 31 can be used as a use history by the user. In such a case, the user data storage unit 31 corresponds to a history information storage unit that stores a use history by the user.

  Specifically, as shown in FIG. 13, the keyword extraction unit 47 extracts a predetermined character string determined in advance from the information stored in the user data storage unit 31 as a keyword. For example, the search processing unit 44 refers to the transmission history data and extracts a character string stored in the keyword data management table as a keyword from the names of the other parties that have transmitted in the past week. For example, if the name of the other party sent in the past week includes “gyoza no BB”, which is a character string stored in the keyword data management table, the search processing unit 44 selects the character string “gyoza”. BB "is converted into a character string" Chinese "of category 3 and extracted as a keyword.

  In this way, even when not only the usage history of the IC card 20 but also the transmission history or the like is used, it is suitable for the personal preference and behavior pattern of the user as in the case of using the usage history of the IC card 20. Search can be performed.

  Further, the content of the keyword data management table may be updated periodically. For example, as illustrated in FIG. 14, the control unit 40 acquires the latest keyword data from a predetermined server device connected via the network once a month via the wireless unit 11 and the wireless control unit 41. The keyword data management table stored in the keyword data storage unit 33 is updated.

  In this way, by periodically updating the contents of the keyword data management table, the usage history stored in the usage history storage unit 22 or the user data storage unit 31 can be used without being influenced by the flow of the times or the fashion. Keywords can be extracted according to user preferences and behavior patterns. That is, for example, even when the user uses a newly established station, by updating the contents of the keyword data management table and reflecting the station name of the station, the station name is stored in the usage history storage unit 22. Can be extracted as a keyword.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Supplementary note 1) A mobile terminal device that requests an information search from a search server,
A history information storage unit for storing a use history by a user;
A keyword extraction unit that extracts a predetermined character string as a keyword from the usage history stored in the history information storage unit;
A keyword storage unit for storing the keywords extracted by the keyword extraction unit in association with relevance information indicating relevance with other keywords;
A mobile terminal device comprising: a search processing unit that acquires a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adds the keyword to the search condition.

(Additional remark 2) It is further provided with the non-contact IC part which performs non-contact data communication between external readers,
The portable terminal device according to appendix 1, wherein the history information storage unit stores data transmitted and received between the external reading device and the non-contact IC unit as a use history by the user.

(Supplementary Note 3) The keyword storage unit stores the number of times the keyword has been used for a search in association with the keyword,
The search processing unit preferentially acquires a keyword that is frequently used for a search when acquiring a keyword related to the keyword included in the search condition input by the user from the keyword storage unit. The portable terminal device according to Supplementary Note 1 or 2, which is characterized.

(Additional remark 4) The said keyword memory | storage part classify | categorizes the said keyword into a some category, and matches and memorize | stores it with the relevance information which shows the relevance of the category to which this keyword belongs, and another category,
When a plurality of keywords are included in the search condition input by the user, the search processing unit may include another category in which the category is included in the search condition with respect to relevance information of a category to which the plurality of keywords belong. The information which shows that it relates to the category to which a keyword belongs is added. The portable terminal device as described in any one of appendix 1-3 characterized by the above-mentioned.

(Additional remark 5) The said search process part produces | generates multiple patterns of the search conditions which added the keyword relevant to the keyword contained in the search conditions input by the said user to this search condition, The additional remarks 1-4 characterized by the above-mentioned. The portable terminal device as described in any one.

(Supplementary note 6) A display unit for displaying information is further provided,
The search processing unit displays, on the display unit, a search result corresponding to one search condition selected by an instruction from a user among search results corresponding to a plurality of generated search conditions. 5. The mobile terminal device according to 5.

(Supplementary note 7) When one search condition is selected by an instruction from the user, the search processing unit searches the keyword stored in the keyword storage unit in association with the keyword included in the search condition. 7. The mobile terminal device according to appendix 6, wherein 1 is added to the number of times used for.

(Additional remark 8) It is the information search method in the portable terminal device which requests | requires an information search with respect to a search server,
The portable terminal device is
A keyword extraction step of extracting a predetermined character string as a keyword from the usage history stored in the history information storage unit storing the usage history by the user;
A keyword storage step of storing the keyword extracted in the keyword extraction step in a keyword storage unit in association with relevance information indicating a relevance with another keyword;
An information search method comprising: a search processing step of acquiring a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adding the keyword to the search condition.

(Supplementary note 9) An information search program for requesting an information search to a search server,
A keyword extraction procedure for extracting a predetermined character string as a keyword from the usage history stored in the history information storage unit storing the usage history by the user;
A keyword storage procedure for storing a keyword extracted by the keyword extraction procedure in association with relevance information indicating a relevance with another keyword in a keyword storage unit;
An information search program for causing a mobile terminal device to execute a search processing procedure for acquiring a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adding the keyword to the search condition .

DESCRIPTION OF SYMBOLS 1 Portable terminal device 11 Radio | wireless part 12 Speaker 13 Microphone 14 Operation part 15 LCD
16, 21 IC card communication unit 20 IC card 22 usage history storage unit 23 control unit 30 storage unit 31 user data storage unit 32 search keyword storage unit 33 keyword data storage unit 40 control unit 41 wireless control unit 42 call control unit 43 browser unit 44 Search Processing Unit 45 Display Control Unit 46 IC Card Control Unit 47 Keyword Extraction Unit

Claims (7)

A mobile terminal device that requests an information search from a search server,
A history information storage unit for storing a use history of the mobile terminal device by a user;
A keyword extraction unit that extracts a predetermined character string as a keyword from the usage history of the mobile terminal device stored in the history information storage unit;
A keyword storage unit for storing the keywords extracted by the keyword extraction unit in association with relevance information indicating relevance with other keywords;
A mobile terminal device comprising: a search processing unit that acquires a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adds the keyword to the search condition. A non-contact IC unit that performs non-contact data communication with an external reader;
The portable terminal device according to claim 1, wherein the history information storage unit stores data transmitted and received between the external reading device and the non-contact IC unit as a use history by the user. The keyword storage unit stores the number of times the keyword is used for a search in association with the keyword,
The search processing unit preferentially acquires a keyword that is frequently used for a search when acquiring a keyword related to the keyword included in the search condition input by the user from the keyword storage unit. The portable terminal device according to claim 1 or 2, characterized in that The keyword storage unit classifies the keywords into a plurality of categories and stores them in association with relevance information indicating relevance between the category to which the keywords belong and other categories,
When a plurality of keywords are included in the search condition input by the user, the search processing unit may include another category in which the category is included in the search condition with respect to relevance information of a category to which the plurality of keywords belong. The information which shows that it relates to the category to which a keyword belongs is added. The portable terminal device of any one of Claims 1-3 characterized by the above-mentioned.   The search processing unit generates a plurality of patterns of search conditions in which keywords related to keywords included in the search conditions input by the user are added to the search conditions. The portable terminal device according to item. An information search method in a mobile terminal device that requests an information search from a search server,
The portable terminal device is
From the use history of the mobile terminal device stored in the history information storage unit for storing a use history of the portable terminal device by a user, and a keyword extraction step of extracting a predetermined character string that is determined in advance as a keyword,
A keyword storage step of storing the keyword extracted in the keyword extraction step in a keyword storage unit in association with relevance information indicating a relevance with another keyword;
An information search method comprising: a search processing step of acquiring a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adding the keyword to the search condition. An information search program that requests an information search from a search server,
From the use history of the mobile terminal device stored in the history information storage unit for storing a use history of the portable terminal device by a user, a keyword extraction procedure for extracting a predetermined character string that is determined in advance as a keyword,
A keyword storage procedure for storing a keyword extracted by the keyword extraction procedure in association with relevance information indicating a relevance with another keyword in a keyword storage unit;
An information search program for causing a mobile terminal device to execute a search processing procedure for acquiring a keyword related to a keyword included in a search condition input by the user from the keyword storage unit and adding the keyword to the search condition .

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