WO2016190015A1 - Terminal d'informations - Google Patents

Terminal d'informations Download PDF

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Publication number
WO2016190015A1
WO2016190015A1 PCT/JP2016/062727 JP2016062727W WO2016190015A1 WO 2016190015 A1 WO2016190015 A1 WO 2016190015A1 JP 2016062727 W JP2016062727 W JP 2016062727W WO 2016190015 A1 WO2016190015 A1 WO 2016190015A1
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WO
WIPO (PCT)
Prior art keywords
information
keyword
input
unit
search
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Application number
PCT/JP2016/062727
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English (en)
Japanese (ja)
Inventor
秀輝 重竹
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シャープ株式会社
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Filing date
Publication date
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Publication of WO2016190015A1 publication Critical patent/WO2016190015A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the present disclosure relates to an information terminal, and more particularly to an information terminal that can communicate with an information server.
  • Patent Document 1 transmits personal information such as personal preferences to an external server (information providing server), thereby obtaining mobile information that acquires recommended information for the user from an external server.
  • An external server information providing server
  • a terminal is disclosed. Note that the technology disclosed in Patent Document 1 may cause a problem that personal information is leaked or used without permission. Further, the information provided to the user is limited to information from a service provider who has provided personal information.
  • Patent Document 2 divides user personal information into information that changes over time (context data) and other information (personal data), and provides only external context data to an external server.
  • a terminal device that acquires information to be provided to the user is disclosed. More specifically, the terminal device generates recommendation information from data acquired from an external server and personal data in the terminal, and provides it to the user.
  • position information is assumed as an example of context data.
  • profile information such as name, address, and sex
  • history information such as a movement history and purchase history are assumed.
  • the present disclosure has been conceived in view of such circumstances, and its purpose is to provide a user with sufficiently customized information for the user without providing the user's personal information to an external server. That is.
  • an information terminal capable of communicating with an information server.
  • the information terminal outputs a storage unit for storing personal data of the user, an input unit for receiving an input of a keyword, and a keyword (input keyword) input to the input unit toward the information server,
  • a search unit for acquiring a search result using the keyword from the information server, and an output unit for outputting the information output from the search unit.
  • the search unit adds personal information stored in the storage unit to supplement the keyword output to the information server, requests the information server for the search result, and obtains the search result obtained from the information server To generate information to be output to the output unit.
  • the information terminal can provide sufficiently customized information to the user without providing the user's personal information to an external server.
  • FIG. 1 is a diagram schematically showing processing executed in a search system including an embodiment of an information terminal.
  • the search system in FIG. 1 includes an information terminal 200, an information server 300, and an information DB (database) 400.
  • the information terminal 200 communicates with the information server 300 via, for example, a public network.
  • the user U inputs a keyword into the information terminal 200.
  • the information terminal 200 generates search information using the keyword and transmits the search information to the information server 300.
  • the search information is, for example, a search keyword.
  • the information server 300 searches for information in the information DB 400 using the search information, and transmits the search result to the information terminal 200.
  • the information terminal 200 generates recommendation information for the user U using the search result acquired from the information server 300, and outputs the recommendation information.
  • the search result is, for example, a keyword related to the keyword input by the user.
  • the recommended information is, for example, a combination of a keyword (input keyword) input by the user and the above “related keyword” (related keyword).
  • the information terminal 200 stores static personal information (personal data) and dynamic personal information (history data) about the user U.
  • the dynamic personal information is information that can change as the information terminal 200 is used.
  • Static personal information is information specific to the user U, such as the user's name, age, gender, and address. The static personal information basically does not change depending on the use of the information terminal 200.
  • the information terminal 200 generates search information using dynamic personal information using the keyword input by the user U and the keyword, and transmits only the search information to the information server 300.
  • the information terminal 200 generates recommended information by processing the search result acquired from the information server 300 using static personal information and dynamic personal information. Accordingly, the information terminal 200 provides the user U with the static personal information and the dynamic personal information without outputting the static personal information and the dynamic personal information to an external device including the information server 300.
  • Information (recommended information) can be customized.
  • FIG. 2 is a diagram illustrating a hardware configuration of the information terminal 200.
  • the information terminal 200 includes a CPU 251, a touch panel 252, a GPS 253, a memory 254, a memory interface 255, and a communication interface 256 as main components.
  • the touch panel 252 may be of any type such as a resistive film method, a surface acoustic wave method, an infrared method, an electromagnetic induction method, a capacitance method, and may include a photosensor liquid crystal.
  • the touch panel 252 detects a touch operation on the touch panel 252 by an external object every predetermined time, and inputs the coordinates of the touch position to the CPU 251.
  • a GPS (Global Positioning System) receiver 253 receives radio waves from two or more GPS satellites, and measures the position of the information terminal 200 by determining the distance to each satellite. Then, the GPS receiver 253 outputs information specifying the measured position to the CPU 251.
  • the GPS receiver 253 is an example of a position history generation unit that generates a history of position information of the information terminal 200.
  • the memory 254 is realized by a storage device such as a RAM (Random Access Memory) or a ROM (Read Only Memory).
  • the memory 254 stores a program executed by the CPU 251 and data used in executing the program.
  • the memory I / F 255 reads data from the recording medium 290 that can be attached to and detached from the main body of the information terminal 200.
  • the CPU 251 stores data read from the recording medium 290 in the memory 254 via the memory I / F 255. Further, the CPU 251 stores data in the memory 254 via the memory I / F 255.
  • the recording medium 290 stores various data such as a program executed by the CPU 251 non-temporarily.
  • the communication I / F 256 is realized by an antenna or a connector.
  • the communication I / F 256 transmits / receives data to / from other devices by wired communication or wireless communication.
  • the CPU 251 receives programs, image data, text data, and the like from other devices via the communication I / F 256, and transmits image data and text data to the other devices.
  • FIG. 3 is an example of a control block diagram of the information terminal 200.
  • the information terminal 200 includes a display unit 201, a sensing device 202, an input unit 203, a recommendation information generation unit 204, a history information detection unit 205, a keyword detection unit 206, a static Personal information management unit 207, dynamic personal information management unit 208, search information generation unit 209, search information reception unit 210, static personal information storage unit 211, dynamic personal information storage unit 212, search information A transmission unit 213.
  • the display unit 201 displays recommended information.
  • the display unit 201 is realized by the touch panel 252, for example.
  • the sensing device 202 generates information constituting a history of position information of the information terminal 200.
  • the sensing device 202 is realized by, for example, a GPS receiver, an acceleration sensor, or a camera.
  • a GPS receiver 253 is shown as an example of the sensing device 202.
  • the input unit 203 receives input of information from the user.
  • the input unit 203 is realized by the touch panel 252, for example.
  • the input unit 203 may include a key button.
  • the recommended information generation unit 204 generates recommended information to be provided to the user U using a search result acquired from the information server 300 via the search information receiving unit 210 described later. More specifically, the recommended information generation unit 204 generates the recommended information by processing the search result using static personal information and / or dynamic personal information.
  • the recommendation information generation unit 204 is realized by, for example, the CPU 251 that executes a given program.
  • An example of processing executed by the recommended information generation unit 204 is to extract a result that suits the user's preference using static personal information from the search result. Another example of the process is to order the search results using the user's behavior history (position history).
  • the recommended information generation unit 204 may rank the search results that have already been ranked by the information server 300.
  • the history information detection unit 205 detects user history information from information input to the sensing device 202 and / or the input unit 203, and outputs the detected history information to a dynamic personal information management unit 208 (described later). .
  • the extracted history information is, for example, position information of the information terminal 200, information on purchasing a product, or information (URL or the like) specifying a website browsed by a browser program installed on the information terminal 200.
  • the history information detection unit 205 is realized, for example, by the CPU 251 that executes a given program.
  • the keyword detection unit 206 detects a keyword from information (characters, character selection, etc.) input to the input unit 203 and outputs the keyword to a search information generation unit 209 (described later).
  • the keyword detection unit 206 is realized by the CPU 251 that executes a given program, for example.
  • the static personal information management unit 207 manages the static personal information of the user.
  • the static personal information management unit 207 stores static personal information input via the touch panel 252 or the like in a static personal information storage unit 211 (described later), and also stores it in the static personal information storage unit 211. Search for static personal information.
  • Static personal information may be input by a user or acquired from an external device.
  • the static personal information is personal information of the user, and includes, for example, information that does not change dynamically, such as the user's name, date of birth, sex, and address.
  • the static personal information management unit 207 is realized by the CPU 251 that executes a given program, for example.
  • the dynamic personal information management unit 208 manages dynamic personal information.
  • the dynamic personal information management unit 208 is realized, for example, by the CPU 251 that executes a given program.
  • the dynamic personal information management unit 208 stores the dynamic personal information output from the history information detection unit 205 in the dynamic personal information storage unit 212 (described later).
  • the dynamic personal information includes dynamically changing personal information such as the movement history of the information terminal 200, the purchase history of the user, and the browsing history of the website.
  • the dynamic personal information stored in the dynamic personal information storage unit 212 includes a related keyword table.
  • the related keyword table associates a keyword (related keyword) related to the keyword with a keyword output from the search information generation unit 209 (described later).
  • Table 1 shows an example of the configuration of the related keyword table.
  • each of two or more related keywords is associated with the main keyword.
  • Each related keyword has a weight value.
  • the related keyword “Kiyomizu Temple” is associated with the main keyword “Kyoto” and has a weight value “25”.
  • the search information generation unit 209 generates search information to be transmitted to the information server 300. More specifically, the search information generation unit 209 outputs the keyword output from the keyword detection unit 206 to the search information transmission unit 213 as search information. The search information generation unit 209 adds the search keyword to the keyword output from the keyword detection unit 206 by adding a related keyword (see Table 1) associated with the keyword in the dynamic personal information storage unit 212. It may be generated.
  • the search information generation unit 209 is realized by the CPU 251 that executes a given program, for example.
  • the search information generation unit 209 transmits the keyword output from the keyword detection unit 206 to the information server 300, acquires the related keyword of the keyword from the information server 300, and uses the acquired related keyword as the keyword detection unit 206.
  • the search information may be generated by adding to the keyword output from.
  • the search information generation unit 209 may store the related keyword acquired from the information server 300 in the related keyword table (see Table 1) in association with the keyword output from the keyword detection unit 206.
  • FIG. 4 is a diagram illustrating an example of display of related keywords acquired from the information server 300.
  • FIG. 4 shows a portion of the screen displayed on the touch panel 252 that displays search keywords.
  • the keyword display unit 500 includes a first column 501 for displaying a keyword input via the touch panel 252 and a second column 502 for displaying the input keyword together with a related keyword acquired from the information server 300. including.
  • the first column 501 includes the input keyword “Kyoto”.
  • the second column 502 includes three related keywords “Kiyomizu Temple”, “Shimizu Yaki”, and “Fushimi Inari Taisha”. That is, in the example of FIG. 4, the information server 300 has transmitted three related keywords “Kiyomizu Temple”, “Shimizu Yaki”, and “Fushimi Inari Taisha” for the keyword “Kyoto” input by the user. Note that, in the second column 502, each of the three related keywords is shown on a different line from the input keyword “Kyoto”.
  • the user U executes an operation for determining a search keyword on the touch panel 252.
  • the operation may add a related keyword as shown in FIG. 4 to the input keyword or may not add it.
  • An example of an operation for adding a related keyword is an operation of touching one of the three fields in the second column 502. For example, when a line displaying two keywords “Kyoto” and “Kiyomizu-dera” is touched, the related keyword “Kiyomizu-dera” is added to the input keyword “Kyoto”. That is, the search information is generated so as to include two keywords “Kyoto” and “Kiyomizu Temple”.
  • the search information generation unit 209 of the information terminal 200 determines that when the related keyword acquired from the information server 300 is added to the input keyword in the operation of determining the search keyword.
  • the dynamic personal information management unit 208 is notified.
  • the dynamic personal information management unit 208 generates information for associating the related keyword with the input keyword in the related keyword table (see Table 1). If the information already exists in the related keyword table, the dynamic personal information management unit 208 adds a predetermined value to the weight value of the information.
  • a predetermined value for example, “1” is added to the weight value of the combination (in the example of Table 1, numerical value “25”).
  • the search information receiving unit 210 receives various types of information such as search results from the information server 300 and outputs them to the recommended information generation unit 204.
  • the search information receiving unit 210 is realized by, for example, the communication I / F 256 and the CPU 251 that executes a given program.
  • the static personal information storage unit 211 stores the static personal information.
  • the dynamic personal information storage unit 212 stores the dynamic personal information.
  • the static personal information storage unit 211 and the dynamic personal information storage unit 212 are realized by the memory 254 and / or the recording medium 290, for example.
  • the search information transmission unit 213 transmits the search information generated in the search information generation unit 209 to the information server 300.
  • the search information transmission unit 213 is realized by, for example, the communication I / F 256 and the CPU 251 that executes a given program.
  • FIG. 5 is a flowchart of processing executed by the information terminal 200 to transmit search information to the information server 300 based on the input keyword.
  • keyword detection unit 206 detects a keyword from information input to input unit 203.
  • the memory 254 stores keyword candidates to be extracted.
  • the keyword detection unit 206 determines whether or not the input information includes a word that matches the candidate.
  • the information input to the input unit 203 includes at least one of a character string input by text input and a character string selected by a touch operation from the character strings displayed on the touch panel 252. Then, when the keyword detection unit 206 detects a keyword (YES in step 301), the control proceeds to step 302. If the keyword detection unit 206 does not detect a keyword (NO in step 301), the keyword detection unit 206 stops the control in step 301.
  • step 302 the keyword detection unit 206 outputs the detected keyword to the search information generation unit 209, and advances the control to step 303.
  • the keyword detection unit 206 outputs the character string “Kyoto” to the search information generation unit 209.
  • the keyword detection unit 206 outputs the two character strings “Kyoto” and “Kiyomizu Temple” to the search information generation unit 209.
  • step 303 the search information generation unit 209 determines whether or not the character string output from the keyword detection unit 206 includes information currently displayed as “recommended information” on the display unit 201.
  • “Recommended information” is, for example, a related keyword as shown in the second column 502 of FIG.
  • the search information generation unit 209 advances the control to step 304.
  • the search information generation unit 209 advances the control to step 305.
  • step 304 the search information generation unit 209 executes a related keyword registration process, and proceeds to step 305.
  • the content of the related keyword registration process will be described later with reference to FIG.
  • step 305 the search information generation unit 209 stores the character string output from the keyword detection unit 206 in the memory 254 and advances the control to step 306.
  • step 306 the search information generation unit 209 acquires a related keyword related to the keyword (character string) output from the keyword detection unit 206 from the dynamic personal information management unit 208 and advances the control to step 307.
  • step 307 the search information generation unit 209 generates search information using the keyword (character string) output from the keyword detection unit 206 and the related keyword acquired in step 206.
  • An example of the generated information is a series of character strings in which the keyword (character string) output from the keyword detection unit 206 and the related keyword acquired in step 206 are connected via a space. Control then proceeds to step 308.
  • step 308 the search information generation unit 209 outputs the search information to the search information transmission unit 213 and advances the control to step 309.
  • step 309 the search information transmission unit 213 transmits the search information output from the search information generation unit 209 to the information server 300, and then returns control to step 301.
  • FIG. 6 is a flowchart of a related keyword registration process subroutine in step 304 of FIG.
  • the search information generation unit 209 associates the keyword provided from the information server 300 as recommended information among the keywords output from the keyword detection unit 206 with the keyword input by the user. Generate information.
  • the former keyword constitutes the “related keyword” in the example shown in Table 1.
  • the latter keyword constitutes the “main keyword” in the example shown in Table 1. Control then proceeds to step 602.
  • step 602 the search information generation unit 209 determines whether the combination generated in step 601 is already registered in the related keyword table. If the search information generation unit 209 determines that it is registered (YES in step 602), the control proceeds to step 603. On the other hand, if the search information generation unit 209 determines that it is not yet registered (NO in step 602), the control proceeds to step 604.
  • step 603 the search information generation unit 209 adds “1” to the weight value for the combination generated in step 602 in the related keyword table (see Table 1), and then returns control to FIG.
  • step 604 the search information generation unit 209 registers the combination generated in step 602 in the related keyword table (see Table 1), and then returns control to FIG. Note that the weight value of the newly registered combination is, for example, “0”.
  • FIG. 7 is a flowchart of processing executed by the information terminal 200 to generate recommendation information based on the search result.
  • step 401 search information reception unit 210 determines whether or not a search result has been received from information server 300. If the search information receiving unit 210 determines that the search result has not yet been received from the information server 300 (NO in step 401), the search information receiving unit 210 stops the control in step 401. When the search information receiving unit 210 determines that the search result is received from the information server 300 (YES in step 401), the control proceeds to step 402.
  • step 402 the search information receiving unit 210 outputs the search result received from the information server 300 to the recommended information generating unit 204, and advances the control to step 403.
  • step 403 the recommended information generation unit 204 acquires static personal information from the static personal information storage unit 211 via the static personal information management unit 207.
  • Static personal information is personal information that generally does not change, such as a user's name, age, date of birth, gender, address, educational background, occupation, company name, and the like. Control then proceeds to step 404.
  • step 404 the recommended information generation unit 204 acquires dynamic personal information from the dynamic personal information storage unit 212 via the dynamic personal information management unit 208.
  • Dynamic personal information is always changing, for example, a movement history composed of a history of GPS position information of a user, a purchase history of purchasing goods and services using various service sites, and / or a browsing history of a web browser. Personal information. Then, control proceeds to step 405.
  • step 405 the recommended information generation unit 204 generates recommended information based on the static personal information, the dynamic personal information, and the search result.
  • the generation of recommended information based on the search result will be described.
  • Table 2 schematically shows an example of the search result.
  • the example of the search result shown in Table 2 includes five related keywords and incidental information of each related keyword.
  • Each of the five related keywords shown in Table 2 represents a store name (store A, store B, store C, store D, and store E).
  • the incidental information in Table 2 includes location information and characteristic information.
  • the position information represents a position associated with the related keyword store.
  • the said position represents the position (area name etc.) of a corresponding store, for example.
  • the characteristic information indicates, for example, the characteristic of the store given by the manager of the search system or the manager of each store.
  • the characteristic information represents, for example, whether the product sold at each store is for men or women. More specifically, in the example of Table 2, the related keyword “shop A” is given position information “P11” and characteristic information “male and female”. This means that the store identified by “Store A” is located in the area represented by “P11” and sells products for men and products for women.
  • the recommended information generation unit 204 adopts “sex” as an example of static personal information from a plurality of related keywords included in the search result, Focus on "information" and select related keywords to be included in the recommended information. For example, when the “sex” of the static personal information stored in the static personal information storage unit 211 is “female”, the recommended information generation unit 204 uses the plurality of related keywords included in the search results to obtain characteristic information. Select those that contain “female”. In the example of Table 2, “Store A”, “Store B”, “Store C”, and “Store E” are selected.
  • the recommended information generation unit 204 selects keywords using the dynamic personal information from the related keywords selected from the viewpoint of static personal information as described above.
  • the dynamic personal information the recommended information generation unit 204 employs, for example, the current position (the latest information of the position information history of the information terminal 200). Then, after the search result received from the information server 300 is selected based on the static personal information, the selected result is within a range that satisfies a predetermined condition with respect to the current position (for example, a given distance).
  • Related keywords having “location information” (Table 2) representing the same city, etc. are selected.
  • the location information “P11”, “P12”, and “P13” of “Shop A”, “Store B”, “Store C”, and “Store E” selected based on the static personal information are displayed.
  • the related keywords “shop A”, “shop B”, and “shop C” are selected.
  • the recommended information generation unit 204 generates recommended information by adding the related keyword selected in step 405 to the keyword input by the user on the touch panel 252. Control then proceeds to step 406.
  • step 406 in step 406, the recommendation information generation unit 204 outputs the recommendation information generated in step 405 to the display unit 201, and the control proceeds to step 407.
  • step 407 the display unit 201 presents the recommended information output from the recommended information generation unit 204 in step 406 to the user by displaying it on the touch panel 252. Then, the CPU 251 ends the control in FIG.
  • FIG. 8 is a flowchart of processing executed to generate a user history using the detection output of the sensing device 202.
  • step 501 history information detection section 205 determines whether data (detection result) has been acquired from sensing device 202.
  • the control proceeds to step 502, and when it is determined that it has not been detected (NO in step 501), the control proceeds to step 505.
  • the history information detection unit 205 generates history data using the data acquired from the sensing device 202. For example, if the sensing device 202 is a GPS receiver, position information is generated as history data. Further, if the sensing device 202 is an acceleration sensor, it is possible to generate information for specifying moving means such as walking, automobiles, and trains. In the information terminal 200, information representing the user's behavior history can be generated based on the detection output of the sensing device 202. When the history information detection unit 205 generates history data, the history information detection unit 205 advances the control to step 503.
  • step 503 the history information detection unit 205 notifies the history data to the dynamic personal information management unit 208, and the control proceeds to step 504.
  • step 504 when the dynamic personal information management unit 208 receives the history data from the history information detection unit 205, the dynamic personal information management unit 208 stores each history information in the dynamic personal information storage unit 212, and advances the control to step 505.
  • step 505 when the history information detection unit 205 detects data input in the input unit 203, the history information detection unit 205 advances control to step 506 (YES in step 505). If the history information detection unit 205 does not detect the input of data from the input unit 203 (NO in step 505), the history information detection unit 205 returns the control to step 501.
  • step 506 the history information detection unit 205 generates history data from the data of the input unit 203.
  • the history information detection unit 205 generates history data based on user operations such as purchase information and content browsing information of articles and / or services at various service sites. Thereafter, the history information detection unit 205 advances the control to step 507.
  • step 507 the history information detection unit 205 notifies the dynamic personal information management unit 208 of the history data generated in step 506, and the control proceeds to step 508.
  • step 508 upon receiving the history data, the dynamic personal information management unit 208 stores the history data in the dynamic personal information storage unit 212 as history information. Then, the CPU 251 ends the control of FIG.
  • 200 information terminal 201 display unit, 202 sensing device, 203 input unit, 204 recommended information generation unit, 205 history information detection unit, 206 keyword detection unit, 207 static personal information management unit, 208 dynamic personal information management unit, 209 Search information generation unit, 210, search information reception unit, 211 static personal information storage unit, 212 dynamic personal information storage unit, 213 search information transmission unit, 252 touch panel, 300 information server.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La présente invention concerne un terminal d'informations (200), dans lequel des informations personnelles statiques (données personnelles) et des informations personnelles dynamiques (données d'historique) concernant un utilisateur (U) sont stockées. Les informations personnelles dynamiques sont des informations d'historique concernant l'utilisation du terminal d'informations (200) par l'utilisateur (U) et sont des informations qui peuvent changer au fur et à mesure que le terminal d'informations (200) est utilisé. Les informations personnelles statiques sont des informations spécifiques à l'utilisateur (U), telles que le nom, l'âge, le sexe et l'adresse de l'utilisateur, et, essentiellement, sont des informations qui ne changent pas en fonction de l'utilisation du terminal d'informations (200). Le terminal d'informations (200) génère des informations recommandées par traitement d'un résultat de recherche extrait à partir d'un serveur d'informations (300), à l'aide des informations personnelles statiques et des informations personnelles dynamiques.
PCT/JP2016/062727 2015-05-22 2016-04-22 Terminal d'informations WO2016190015A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010191796A (ja) * 2009-02-19 2010-09-02 Fujitsu Ltd 情報検索装置
JP2014225132A (ja) * 2013-05-16 2014-12-04 株式会社デンソー 検索システムおよび検索装置
JP2015043553A (ja) * 2013-08-26 2015-03-05 日本電信電話株式会社 端末装置、データ処理方法及びプログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010191796A (ja) * 2009-02-19 2010-09-02 Fujitsu Ltd 情報検索装置
JP2014225132A (ja) * 2013-05-16 2014-12-04 株式会社デンソー 検索システムおよび検索装置
JP2015043553A (ja) * 2013-08-26 2015-03-05 日本電信電話株式会社 端末装置、データ処理方法及びプログラム

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