JP2013092823A - Information processing unit, program, and information retrieval system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide user interface information (UI) appropriate for competency (literacy) of a user along with presentation of a retrieval result.SOLUTION: An information processing unit comprises: means which extracts identification information of a user, retrieval query information, retrieval result URL information and browsed URL information from retrieval history information in association with the identification information and regards such information as user log information; literacy analysis means which gives a user competency determination value according to a determination standard including at least one of composition of the retrieval query information included in the user log information and a correspondence relation between the retrieval result URL information and the browsed URL information; and UI presentation processing means which presents user interface information according to the competency determination value.

Description

  The present invention relates to an information processing apparatus that provides an information search service, a program installed in the information processing apparatus, and an information search system.

Many users (users) obtain information on an event of interest by connecting to the Internet or the like from a terminal device such as a PC (Personal computer) having a browser function, for example, at various search sites that provide a search service. A keyword representing the feature of the information is input and a query is made. A search engine or the like of a search site searches various Web sites according to the input search query and displays the search result on the browser. The user follows a URL (Uniform Resource Locator) displayed on the browser to obtain information disclosed on various Web sites.

JP 2008-181186 A JP 2008-40636 A

  The output information presented to the user device from various search sites is basically determined only by the information search result based on the input keyword. The search result that is output information is displayed as a search result screen on the user's terminal device. For this search result screen, for example, the ability (literacy) to evaluate / identify user information using the search service is It was not considered.

  For example, a user who can adjust the browser function option settings so that the user can easily use the displayed search results may find the search result screen configuration and display form bothersome. On the other hand, even if the same search result screen is displayed, there is a case where a beginner who is unfamiliar with the search feels unfriendly, and the satisfaction of the search service is not sufficient.

  An object of the disclosed technology is to provide appropriate user interface (UI) information according to the ability (literacy) of a user who uses a search service together with the presentation of search results.

  One aspect of the disclosed technology is exemplified by the following configuration of the information processing apparatus. That is, the information processing apparatus includes, from search history information stored in a storage device connected to the information processing apparatus, identification information of a user who has made a search request, search query information received in the search request, and search query information. A search result URL information searched according to the search result, and a browsing URL information requested to be browsed from the search result URL information in association with user identification information, and stored in a storage device as user log information; Literacy analysis means for assigning a user's ability determination value according to a determination criterion including at least one of a configuration of search query information included in user log information and a correspondence relationship between search result URL information and browsing URL information; UI presentation processing means for presenting user interface information corresponding to the value.

  As a result, appropriate user interface information can be presented according to the user's ability (literacy).

  According to the information processing apparatus, it is possible to provide appropriate user interface (UI) information according to the literacy of the user who uses the search service together with the presentation of the search result.

FIG. 1 is a diagram illustrating an example of an information search system. FIG. 2 is a diagram illustrating a hardware configuration of the information processing apparatus. FIG. 3 is a diagram illustrating a search query log. FIG. 4 is a diagram illustrating a click URL log. FIG. 5 is a diagram illustrating a search result display log. FIG. 6 is a diagram illustrating a user log table. FIG. 7 is a diagram illustrating a search literacy calculation table. FIG. 8 is a diagram illustrating a sequence of the information search system. FIG. 9 is an explanatory diagram of search literacy analysis processing. FIG. 10 is an explanatory diagram of search literacy analysis processing. FIG. 11 is a diagram illustrating a flowchart of the information search system. FIG. 12 is a diagram illustrating a flowchart of the information search system. FIG. 13 is a diagram illustrating a flowchart of the information search system. FIG. 14 is a diagram illustrating a flowchart of UI presentation processing. FIG. 15 is an illustration of the presented UI. FIG. 16 is an illustration of the presented UI.

  Hereinafter, an information search system according to an embodiment will be described with reference to the drawings. The configuration of the following embodiment is an exemplification, and the information search system is not limited to the configuration of the embodiment.

Hereinafter, an information search system according to an embodiment will be described with reference to FIGS. 1 to 16. 〔System configuration〕
FIG. 1 shows an example of an information search system. An information search system 10 illustrated in FIG. 1 is a system that provides a search service to individual user devices 20 and 20a, for example.

  An information search system 10 illustrated in FIG. 1 includes user devices 20 and 20a, a search server device 30, a storage device 40, an analysis server device 100, and a storage device 200. The user device 20 is connected to the search server device 30 via the network N, and the user device 20a is connected to the search server device 30 via the network N. The search server device 30 is connected to the storage device 40. The analysis server device 100 is connected to the search server device 30 via the network N. The analysis server device 100 is connected to the storage device 200. A plurality of user devices 20 and 20a can be connected to the search server device 30 via the network N. The search server device 30 is connected to a plurality of information processing devices (not shown) via the network N. Examples of the plurality of information processing apparatuses include an information processing apparatus that transmits various types of information using a network constructed on the Web, such as SNS and social media.

The search server device 30 may include a storage device 40. The analysis server device 100 may include a storage device 200. The search server device 30, the analysis server device 100, the storage device 40, and the storage device 200 may constitute a part of a cloud that is a group of computers on the Internet, for example. The network N includes a public network such as the Internet, a wireless network such as a cellular phone network, a LAN (Local Area Network), and a WAN (Wide
An internal network such as Area Network).

  The storage device 200 includes a search log DB 210, a user log 220, and a search literacy DB 230. The search log DB 210 includes a search query log 211, a click URL log 212, and a search result display log 213. Each log included in the search log DB 210 is history data extracted from the search history DB 410 by processing of the search log acquisition unit 110, as will be described later. The search query log 211 stores search query information of a user who has made a search request accepted by the information search system 10. The click URL log 212 stores browsing URL information for which a browsing request has occurred from the search result URL information presented to the user. The search result display log 213 stores search result URL information as a result of performing a network search based on the search query information.

  The user log DB 220 includes a user log table 221. As will be described later, the user log table 221 is a combination of the search query log 211, the click URL log 212, and the search result display log 213 by the processing of the search log processing unit 120.

  The search literacy DB 230 includes a search literacy calculation table 231. The search literacy calculation table 231 stores scoring information (index values) assigned by the search literacy analysis unit 130, as will be described later. The scoring information is given to the keywords included in the search query. The search literacy calculation table 231 includes a record for each keyword for all users who have made search requests. Further, as will be described later, a capability determination value for the entire search operation for each user calculated by the search literacy determination unit 140 is added to the search literacy calculation table 231. The ability determination value for the entire search operation is calculated, for example, as an average value of scoring information (index values) for all keywords of each user.

The user devices 20 and 20a are a personal computer (PC, personal computer),
This can be realized by using a dedicated or general-purpose computer such as a tablet PC or PDA (Personal Digital Assistant), or an electronic device equipped with the computer. The user devices 20 and 20a can be realized by using a dedicated or general-purpose computer such as a smartphone (multifunctional mobile phone), a mobile phone, or a car navigation device, or an electronic device equipped with a computer.

  The search server device 30 and the analysis server device 100 can be realized using a general-purpose computer such as a PC or a dedicated computer such as a server machine. The storage devices 40 and 200 are storage devices provided with storage media for storing various programs and various data. The storage devices 40 and 200 are also called external storage devices. Examples of the storage devices 40 and 200 include a solid state drive device, a hard disk drive device, a CD (Compact Disc) drive device, a DVD (Digital Versatile Disk) drive device, a + R / + RW drive device, and an HD DVD (High-Definition Digital Versatile). Disk) drive device or BD (Blu-ray Disk) drive device. In addition, the storage devices 40 and 200 can include a removable medium, that is, a portable recording medium.

  FIG. 2 illustrates a hardware configuration of the information processing apparatus. An information processing apparatus 300 illustrated in FIG. 2 is a computer. The user devices 20, 20a, the search server device 30, and the analysis server device 100 illustrated in FIG. 1 are realized by, for example, the information processing device 300 illustrated in FIG.

The information processing apparatus 300 includes CPUs (Central Processi) connected to each other via a connection bus.
ng Unit) 301, a memory 302, a storage unit 303, an input unit 304, an output unit 305, and a communication unit 306. In the information processing apparatus 300, the CPU 301 develops a program stored in the storage unit 303 so as to be executable in the work area of the memory 302, and controls peripheral devices through the execution of the program. Thereby, the information processing apparatus 300 can implement a function that matches a predetermined purpose. The memory 302 and the storage unit 303 are recording media that can be read by the information processing apparatus 300 that is a computer.

  The CPU 301 is a central processing unit that controls the entire information processing apparatus 300. The CPU 301 performs processing according to a program stored in the storage unit 303. The memory 302 is a storage medium on which the CPU 301 caches programs and data and expands a work area. The memory 302 includes, for example, a RAM (Random Access Memory) and a ROM (Read Only Memory).

The storage unit 303 stores various programs and various data in a recording medium in a readable and writable manner. The storage unit 303 is, for example, an EPROM (Erasable Programmable ROM), a solid state drive device, a hard disk drive (HDD, Hard Disk Drive) device, or the like. Examples of the storage unit 303 include a CD drive device, a DVD drive device, a + R / + RW drive device, an HD DVD drive device, and a BD drive device. Examples of the recording medium include a silicon disk including a nonvolatile semiconductor memory (flash memory), a hard disk, a CD, a DVD, + R / + RW, an HD DVD, or a BD. CDs include CD-R (Recordable), CD-RW (Rewritable), and CD-ROM. Examples of DVD include DVD-R and DVD-RAM (Random Access Memory). Examples of the BD include a BD-R, a BD-RE (Rewritable), and a BD-ROM. The storage unit 303 can include a portable recording medium such as a removable medium. Examples of the removable medium include a USB (Universal Serial Bus) memory or a disk recording medium such as a CD or a DVD.

  The input unit 304 receives an operation instruction or the like from a user or the like. The input unit 304 is an input device such as an input button, a keyboard, a pointing device, a wireless remote controller, a microphone, and a camera. Information input from the input unit 304 is notified to the CPU 301 via the connection bus.

The output unit 305 outputs data processed by the CPU 301 and data stored in the memory 302. The output unit 305 includes a CRT (Cathode Ray Tube) display, an LCD (Liquid Crystal Display), a PDP (Plasma Display Panel), and an EL (Electroluminescence).
) Output devices such as panels, printers and speakers. The communication unit 306 is an interface with the network N.

  The information processing apparatus 300 stores an operating system (OS), various programs, various tables, and the like in the storage unit 303. The OS is software that mediates between software and hardware, manages memory space, manages files, and manages processes and tasks. The OS includes a communication interface. The communication interface is a program for exchanging data with an external device or the like connected via the communication unit 306. Examples of the external device include other information processing devices and storage devices.

The information processing apparatus 300 that realizes the user devices 20 and 20a realizes a browser function by causing the CPU 301 to read various programs and various data stored in the storage unit 303 into the memory 302 and execute them. For example, the user devices 20 and 20a having the browser function perform a search query (inquiry) based on the input search keyword to the search server device 30 connected via the network N. Further, the user devices 20 and 20 a having a browser function receive search results from the search server device 30 connected via the network N, for example, and output and display them on the output unit 305. In addition, the user devices 20 and 20a having a browser function, for example, follow URL (Uniform Resource Locator) output and displayed on the output unit 305, and are distributed by information processing devices of various websites connected via the network N. You can browse various content information and article information.

In the information processing apparatus 300 that implements the search server apparatus 30, the CPU 301 reads out various programs and various data stored in the storage unit 303 to the memory 302 and executes them, thereby performing an information search function according to the received search query. Realize. Examples of the information search function include various known search engines. The search server device 30 having the information search function searches, for example, distribution information and various content information registered in various websites connected via the Internet N along keywords and the like included in the search query. . Further, for example, the search server device 30 uses a series of search processing histories including URL information of various websites clicked (browsing request) on the search results as a search history DB 410 (Data Base: database). Store in the storage device 40. Search history DB4
10 is an example of search history information. The storage device 40 includes a search history DB 410.

  In the information processing apparatus 300 that realizes the analysis server apparatus 100, the CPU 301 reads out various programs and various data stored in the storage unit 303 to the memory 302 and executes them, whereby the search log acquisition unit 110 and the search log processing unit 120. The search literacy analysis unit 130, the search literacy determination unit 140, and the UI presentation processing unit 150 are realized.

  Returning to FIG. 1, the analysis server device 100 includes a search log acquisition unit 110, a search log processing unit 120, a search literacy analysis unit 130, a search literacy determination unit 140, and a UI presentation processing unit 150. Any one of the units may be included in another server device. For example, a server device including the search log acquisition unit 110, a server device including the search log processing unit 120, a server device including the search literacy analysis unit 130, a server device including the search literacy determination unit 140, and a UI presentation processing unit The server apparatus including 150 may function as the analysis server apparatus 100 by being connected via a network or the like. The analysis server device 100 distributes functions to a plurality of server devices and realizes each processing unit, thereby reducing the load.

  The search log acquisition unit 110 acquires the search history stored in the storage device 40 via the network N to which the analysis server device 100 is connected. Acquisition of the search history is periodically executed at a predetermined cycle, for example. Examples of the predetermined period include time units, daily units, week units, and monthly units. The search history acquisition interval can be selected appropriately depending on the operational accuracy required of the information search system, the scale of the system, the capacity of the external storage device in which the database is constructed, and the like.

  The search log acquisition unit 110 extracts the user ID, date and time, search query, session ID, and the like included in the search history DB 410 and stores them in the search log DB 210 as the search query log 211. In addition, the search log acquisition unit 110 extracts a user ID, date and time, a browsing URL, a session ID, and the like requested for browsing from the search result DB 410 and stores them in the search log DB 210 as a click URL log 212. . Further, the search log acquisition unit 110 extracts the user ID, date and time, search result URL obtained as a search result, session ID, and the like included in the search history DB 410 and stores them in the search log DB 210 as a search result display log 213.

The search log processing unit 120 combines the search query log 211, the click URL log 212, and the search result display log 213. Then, the search log processing unit 120 stores the combined result search log information (user log information) as the user log table 221 in the user log DB 220. The search query log 211, the click URL log 212, and the search result display log 213 each include a plurality of log files, and each log file has a session ID. The search log processing unit 120 combines log files having the same session ID from the search query log 211, click URL log 212, and search result display log 213 having the same user ID, using the included session ID as a combination key. To do. The search log information includes information of each combined log file excluding the session ID.

  The search literacy analysis unit 130 acquires the user log table 211 stored in the user log DB 220 and executes a scoring process for each input search query. The scoring process of the search literacy analysis unit 130 is executed for the search keyword included in the search query. The search literacy analysis unit 130 assigns the result of the scoring process as an index value for the search keyword. The search literacy analysis unit 130 stores the search keyword and index value for which the scoring process has been performed in the search query calculation table 231 in association with the user ID. The index value assigned to the search keyword is an index value for calculating the user's search literacy. The search literacy analysis unit 130 stores the search query calculation table 231 in the search literacy DB 230. The search literacy calculation table 231 includes user ID information, keyword information, and scoring information (index values). The scoring process will be described later. In the present embodiment, this index value is also referred to as search literacy. Search literacy can be said to be a user's ability determined for each keyword or each search query.

  The search literacy determination unit 140 acquires the index value assigned to each search keyword from the search literacy calculation table 231 and calculates an average value for all search queries for each user. The search literacy determination unit 140 adds the search query average value for each user to the search literacy calculation table 231 as a capability determination value for each user for the entire search operation, and stores it again in the search literacy DB 230. The ability determination value is a value for determining the ability (literacy) of the user who performs the information search operation. In this embodiment, the ability determined from the ability determination value is also referred to as literacy.

  The UI presentation processing unit 150 acquires a capability determination value calculated for each user from the search literacy calculation table 231 stored in the search literacy DB 230, and uses user interface (UI) information corresponding to the capability determination value as a search result screen. Output to the user devices 20 and 20a. The UI presentation process will be described later.

  The storage device 200 includes a search log DB 210, a user log DB 220, and a search literacy DB 230. The search log DB 210, the user log DB 220, and the search literacy DB 230 may each be included in separate storage devices.

  FIG. 3 illustrates a search query log. The search query log 211 illustrated in FIG. 3 has a record including a user ID that is identification information uniquely associated with each user who uses the search service of the information search system 10. Each record includes fields of date / time, search query, and session ID associated with the user ID. The date / time field stores the date / time information when the information search system 10 receives a search request from the user devices 20 and 20a via the network N. In the search query field, search query information received from the user devices 20 and 20a by the information search system 10 via the network N is stored. The search query information includes an input character string transmitted from the user device 20 or the like to the search server device 30 when a search request is made. In the session ID field, a session ID corresponding to the search query is stored. In the illustrated example, the date / time field stores date / time information in the expression format “yyyy / mm / dd hh: mm”, but is not limited to the expression format in the illustrated example. The same applies to the expression format of the date / time field exemplified in FIGS.

The search result display log illustrated in FIG. 5 will be described for the description of the user log table combining process described later. The search result display log stores information on various websites connected to the network N searched according to the search request. The search result URL information stored in the search result display log is output to the user who made the search request. The search result display log 213 illustrated in FIG. 5 includes a record including a user ID that is identification information uniquely associated with each user who uses the search service of the information search system 10. Each record includes fields of date / time associated with the user ID, search result URL, and session ID. The date / time field stores the date / time information when the information search system 10 receives a search request from the user devices 20 and 20a via the network N. In the search result URL field, URL information (search result URL information) of various websites acquired according to the received search query is stored. The URL information stored in the search result URL field is output to the user devices 20 and 20a as search result URL information displayed on the search result screen. In the session ID field, a session ID obtained by acquiring URL information of various websites as a search result is stored. Note that the expression format of the date information in the date field is not limited to the illustrated example.

  The user who has made the search request makes a browsing request along the search result URL information output from the information search system 10. The URL requested to be browsed by the user's click operation (browsing URL) is stored in the click URL log. FIG. 4 illustrates a click URL log. The click URL log 212 illustrated in FIG. 4 has a record including a user ID that is identification information uniquely associated with each user who uses the search service of the information search system 10. Each record includes fields of date / time, browsing URL, and session ID associated with the user ID. The date / time field stores the date / time information when the information search system 10 receives a browsing request from the user devices 20 and 20a via the network N. In the browsing URL field, URL information (browsing URL information) to be browsed that the user has requested to browse through the search result screen output to the user devices 20 and 20a is stored. The session ID field stores a session ID for each URL for which a browsing request is made by a click operation. Note that the expression format of the date information in the date field is not limited to the illustrated example.

  FIG. 6 illustrates a user log table. The user log table illustrated in FIG. 6 has the same search query log 211 illustrated in FIG. 3, the click URL log 212 illustrated in FIG. 4, and the search result display log 213 illustrated in FIG. It is the table which combined each log file which has session ID of. The combination process is performed by the search log processing unit 120. The user log table 221 illustrated in FIG. 6 has a record including a user ID that is identification information uniquely associated with each user who uses the search service of the information search system 10. Each record includes fields of date and time, search query, search result URL, and browse URL associated with the user ID. In the search query field, search query information received from the user devices 20 and 20a by the information search system 10 via the network N is stored. In the search result URL field, URL information of various Web sites stored in the result display content field of the search result display log 213 is stored. The browsing URL field stores URL information that the user has requested to browse through the search result screen output to the user devices 20 and 20a. The user log table 221 is user log information obtained as a result of the combination process. Note that the date / time field of the record in which the search request is received is stored in the date / time field of the record storing the search query information, and the date / time field of the record in which the browsing URL information is stored is stored. .

The browsing URL information stored in the browsing URL field is for the search result URL information in the search result URL field stored in the immediately preceding row. For example, in the illustrated example, “−” indicating 0 is stored in the search result URL field, which is a search result, for a search query of “Japan sub-member of Asian Cup”. Therefore, since there is no information stored in the browsing URL field in the same session, a line having browsing URL information is not distributed immediately after the line storing the search query for “Japanese sub-member of Asian Cup”. .

  On the other hand, for a search query of “adjia kup” or “Asia Cup”, a plurality of URLs (“AD_URL1” to “WEB_URL3” in the example) are searched, and a search result URL field is searched. Stored in However, for the search result URL information presented for the search query “adjiak kup”, the browsing URL for the same session ID is not detected. In the line immediately after the search query is stored, there is no browsing URL field having browsing URL information. In other words, a search request by the user's click operation is not made for the search result URL information presented for the search query “adjiak”.

Since the browsing URL for the same session ID is detected for the search query for “Asia Cup”, the browsing URL storing the browsing URL information is displayed in the line immediately after the search query for “Asia Cup” is stored. A row having a field is subjected to join processing (distribution). As is clear from the date / time information stored in the date / time field, the row immediately after the “Asia Cup” search query is stored has a row having a browse URL field in which the browse URL information is stored. Have been distributed. In the browsing URL field of each row that is continuously distributed, browsing URLs that the user has followed by a click operation are sequentially arranged from the search result URL displayed on the search result screen. In the example shown in FIG.
The rows in which the browsing URLs “1” → “AD_URL2” → “WEB_URL1” are stored in the browsing URL field are continuous.

  As described above, the user log table 221 that has been subjected to the combining process includes date and time information associated with the user ID, search query information, search result URL information of various websites that have been searched and collected according to the search query, and various types of information. Browsing URL information that the user has requested to browse by clicking on the URL information of the Web site is included.

  FIG. 7 illustrates a search literacy calculation table. The search literacy calculation table stores index values for each keyword assigned by the search literacy analysis unit 130 and capability determination values for each user for all keywords processed by the search literacy determination unit 140. The index value assigned to each keyword reflects, for example, the user's field of expertise and the field of weakness of the user who made the search request, and is biased due to the variety of knowledge. On the other hand, the ability determination value for each user for all keywords is used to determine the literacy of the search operation in general, which is not biased to the user's specialty field, the weak field, etc. The scoring process will be described later.

The search literacy calculation table 231 illustrated in FIG. 7 has a record including a user ID that is identification information uniquely associated with each user who uses the search service of the information search system 10. Each record includes fields for storing keywords and index values associated with user IDs. In the keyword field, keyword information included in the search query information is stored. Examples of the keyword information stored in the keyword field include all word nouns included in the search query received at the time of the search request, and word nouns input at the beginning of the search query. The index value field stores scoring information for determining search literacy corresponding to the keyword information. The search literacy calculation table 231 stores index values for uniquely specified keyword information.
In the search literacy calculation table 231 illustrated in FIG. 7, (1) is a record example of a user who is determined by the search literacy determination unit 140 that the literacy related to the search operation is low as a result of the scoring process. On the other hand, (2) shows the result of the scoring process, the search literacy determination unit 1
40 shows a record example of a user who is determined to have high literacy related to a search operation. In (1) of the figure, “35” given as an index value is stored in the index value field as a result of the scoring process in “Asian Cup” stored in the keyword field as uniquely specified keyword information. ing. In “C language” stored in the keyword field, “50” given as an index value as a result of the scoring process is stored in the corresponding index value field. In the “C language” search request, the assigned index value is relatively high, and in the “Asian Cup”, the index value is relatively low. That is, the user (user ID: 001) exemplified in (1) has standard search literacy in the field to which “C language” belongs, but it can be determined that the search literacy in the field to which “Asia Cup” belongs is low. In (2), the index value corresponding to “Asian Cup” is “60”, and the index value corresponding to “C language” is “50”. The user (user ID: 002) illustrated in (2) can be determined to have a standard or higher search literacy regardless of the field to which the keyword information belongs. In this way, the search literacy calculation table 231 stores a corresponding index value for each uniquely specified keyword information. Therefore, the ability of the user who makes a search request in the field to which the keyword information belongs is high or low. I can judge. In the search literacy calculation table 231 in which index values (scoring information) processed by the search literacy analysis unit 130 are stored, information for determining search literacy is stored for each keyword.

In addition, in the keyword field of one row (the last row in the example) of the search literacy calculation table 231, a word “[General search operation (average)]” representing the search literacy determination of this user is stored. . Then, the capability determination value of the user processed by the search literacy determination unit 140 is stored in the index value field of the row in which the word “[general search operation (average)]” is stored. In the illustrated example, the average value of the index values assigned for each keyword information is stored as the ability determination value. Note that the wording indicating the search literacy determination stored in the keyword field of one row of the search literacy calculation table 231 is not limited to the expression format shown in the figure. Any expression that represents the search literacy determination of this user may be used. For example, arbitrary expressions such as text characters and symbols representing the search literacy determination of this user, such as ““ 00000 ””, “XXXX”, “user ID: Total”, “total determination”, “★★★★” Is possible.

In addition, the expression format of the ability determination value stored in the index value field of the row in which the word “[general search operation (average)]” is stored is not limited to the illustrated example. For example, the average value of the index values assigned to each keyword information may be further compared with a threshold value to rank “A”, “B”, “C”, and the like. Any index indicating the result of the search literacy determination of the user may be used. Such ranking can be processed by threshold determination. For example, a two-stage threshold value is provided. If the average ability determination value is 60 or more, the rank is “A”, if it is 40 or less, the rank is “C”, and if it is in the range exceeding 40 and less than 60, “B”. “Rank ranking” can be exemplified. In the example shown in the figure, the two tables (1) and (2) are used for explanation. However, a group of records for each user is used as a unit block, and a plurality of user blocks constitute one table continuously. You may make it do. In the former, the ability determination value for the entire search operation is stored for each table, whereas in the latter, the ability determination value for the entire search operation can be stored for each user block.
[Processing sequence]
Next, a processing sequence of the analysis server device 100 in the information search system 10 will be described. FIG. 8 illustrates an overall processing sequence diagram of the analysis server device 100.

In FIG. 8, the analysis server 100 acquires search history information stored in the search history DB 410 at a predetermined cycle interval. Examples of the predetermined periodic interval include time intervals such as every hour, every 12 hours, every day, every week, and every month. The search log acquisition unit 110 of the analysis server device 100 extracts search query information, date / time information, and session ID information associated with the user ID from the search history information stored in the search history DB 410, and uses the extracted results as a search query log. This is stored in the search log DB 210 as 211. In addition, the search log acquisition unit 110 extracts browsing URL information, date information, and session ID information associated with the user ID from the search history information stored in the search history DB 410, and searches the extracted result as a click URL log 212. Store in the log DB 210. Furthermore, the search log acquisition unit 110 obtains URL information (search result URL information), date / time information, and session ID information of various websites that are search results associated with the user ID from the search history information stored in the search history DB 410. The extracted result is stored in the search log DB 210 as a search result display log 213. The URL information (search result URL information) of various websites as search results is presented to the user as a search result screen via a browser provided in the user devices 20 and 20a.

  The search log processing unit 120 of the analysis server device 100 executes a combination process for each extraction result of the search history information stored in the search log DB 210. The combination process executed by the search log processing unit 120 is performed for each user, and is executed using the session ID included in each extraction result as a combination key. The search log processing unit 120 stores the result of the combination process in the user log table 221 of the user log DB 220. The user log information in the user log table 221 includes date and time information associated with the user ID, search query information, URL information (search result URL information) of various websites searched and collected in accordance with the search query, and various websites. Browsing URL information that the user has requested to browse through URL information is included.

  The search literacy analysis unit 130 of the analysis server device 100 executes index value assignment processing for determining search literacy for the user log information in the user log table 221. The index value assigning process executed by the search literacy analysis unit 130 is a scoring process according to keyword information included in the search query. The scoring process executed by the search literacy analysis unit 130 is executed for each keyword. The uniquely specified keyword information associated with the user ID and the index value assigned to each keyword are stored in the search literacy calculation table 231. The information stored in the search literacy calculation table 231 is processed by the search literacy determination unit 140 as information for calculating the user's search literacy.

  The search literacy determination unit 140 of the analysis server device 100 calculates an ability determination value for the user's search operation based on the index value assigned to each keyword stored in the search literacy calculation table 231. The ability determination value calculated by the search literacy determination unit 140 is stored again in the search literacy calculation table 231 together with the words representing the search literacy determination of this user. The calculation of the ability determination value executed by the search literacy determination unit 140 is, for example, an average process of index values assigned to each keyword. The search literacy determination unit 140 calculates an ability determination value for each user by performing an averaging operation on index values assigned to all keywords.

The UI presentation processing unit 150 of the analysis server device 100 determines the literacy for the user's search operation based on the ability determination value added to the search literacy calculation table 231 stored in the search literacy DB 230, and the UI corresponding to the literacy. Execute the presentation process. The user interface information determined by the UI presentation processing unit 150 is output to the user devices 20 and 20a together with the search result information, for example. For example, the user apparatus 20 that has been determined by the analysis server apparatus 100 to have low literacy can display a query including a search command, or display a search result screen that includes search option tips and the like. . Further, for example, for the user device 20a determined to be high in literacy by the analysis server device 100, the display space is compressed by omitting the explanatory text when displaying the search result or displaying the URL information with the mouse pointer. Thus, more search result information can be displayed on one screen.
[Search Literacy Analysis Processing]
FIGS. 9 and 10 are explanatory diagrams of the search literacy analysis process. 9 and 10 are examples of the user log table 221 stored in the user log DB 220. FIG. FIG. 9 is an explanatory diagram when it is determined that the literacy is low in the search literacy analysis process. On the other hand, FIG. 10 is an explanatory diagram when the literacy is determined to be high in the search literacy analysis process. The search literacy analysis process is executed by the search literacy analysis unit 130. The literacy determination for each user is executed by the search literacy determination unit 140.

  The result processed by the search literacy analysis unit 130 is stored in the search literacy calculation table 231 together with the search keyword as an index value for each search keyword. The search literacy determination unit 140 performs an addition average of index values for all search keywords for each user in the search literacy calculation table 231. The result of the average addition of the index values for all the search keywords is stored again in the search literacy calculation table as a capability determination value. Note that the literacy determination can be performed by, for example, comparing a threshold for the capability determination value with a predetermined value. Such threshold values and predetermined values can be held in the memory 302 of the information processing apparatus 300 as system parameters, for example. Alternatively, a setting value input via the input unit 304 may be used. An appropriate one can be selected depending on the operational accuracy required for the information retrieval system 10, the scale of the system, the capacity of the external storage device in which the database is constructed, and the like.

The user log record illustrated in FIG. 9 is, for example, a record by a low literacy user (user ID: 001) who has performed a search query via the user device 20. In the example, three search queries are entered between “2011/1/31 17:00” and “2011/1/31 18:00” from the date / time information stored in the date / time field. Recognize. The input search queries are, in order, “Asia Cup Japanese Sub-Members”, “Adjiak”, “Asian Cup”. For the first input search query, "-" indicating 0 is stored in the search result URL field in which search result URL information is stored, and for other search queries, a plurality of URLs are stored. Yes. In the search result of the next input search query, a line including the browsing URL information in the browsing URL field is not distributed immediately after. For the last input search query, a line including browsing URL information in the browsing URL field is arranged immediately after. The line including the browsing URL information in the browsing URL field is “AD_URL1”.
→ “AD_URL2” → “WEB_URL1” are distributed in this order.

The user log record illustrated in FIG. 10 is, for example, a record by a user with high literacy (user ID: 002) who has performed a search query via the user device 20a. In the example, three search queries are entered between "2011/2/1 17:00" and "2011/2/1 18:00" from the date and time information stored in the date and time field. Recognize. The entered search queries are “Asia Cup ● River Agent”, “Asian Cup ● River Member”, and “Asia Cup site: wwww.tv-XXXX.co.jp”. For the first input search query, five URLs are stored in the search result URL field in which search result URL information is stored. Immediately after the first input search query, a row in which “WEB_URL2” is stored in the browsing URL field as browsing URL information is arranged. For the next input search query, five URLs are stored in the search result URL field. Immediately after that, a line in which “WEB_URL1” is stored in the browsing URL field as browsing URL information is distributed. For the last input search query, five URLs are stored in the search result URL field. Immediately thereafter, rows in which “AD_URL2” and “WEB_URL3” are stored as browsing URL information in the browsing URL field are continuously arranged.

The search literacy analysis process of the information search system 10 is performed on various types of information included in the records for each user in the user log table 221 stored in the user log DB 220. In the search literacy analysis process, the degree of matching with the next matching condition is analyzed for the information stored in each field of the user log record.
(1) Search query input with 0 search results (2) Search query input that requires an auxiliary function (for example, morphological analysis function) of search engine (3) Search query contrivance (AND, OR, NOT, “ site: ")
(4) Presence / absence of click operation for search result (5) Presence / absence of URL selection for search result

(1) Search query input with 0 search results In the search literacy analysis processing of the information search system 10, the search query input from the number of search results detected in the search result URL field of the user log table 221 Analyze validity. In particular, when the search result is “−” indicating that the number of detected cases is 0, it can be analyzed that a search query for obtaining desired information is not input. In the information search system 10, when the search result stored in the search result URL field of the user log table 221 is “−” indicating zero, a deduction process is performed as a scoring process for assigning an index value. Do.

  For example, in the record of the user (user ID: 001) illustrated in FIG. 9, “-” is stored in the search result URL field, and therefore the search query “Asia Cup Japan” with the search result “0”. Analyzes that “sub-member of” is entered. In this case, since the search query includes a plurality of keywords representing information features other than “Asia Cup” combined with particles, for example, an information search operation input of the user (user ID: 001) Can be analyzed as insufficient knowledge.

(2) Search query input that requires an auxiliary function (for example, morphological analysis) of the search engine In the search literacy analysis process of the information search system 10, the morpheme is searched for the search query stored in the search query field of the user log table 221. Analyze whether the search engine auxiliary functions such as analysis are required. When a search sentence written in a natural language is input as a search query, since a plurality of keywords are included in the search sentence, it can be analyzed that the identification of characteristic keywords is insufficient. For example, in the record of the user (user ID: 001) illustrated in FIG. 9, a search sentence with “Asia Cup Japanese sub-member” is analyzed as a search query that requires an auxiliary function of the search engine. In the information search system 10, when a search query requires an auxiliary function of a search engine such as morphological analysis, a deduction process is performed as a scoring process for assigning an index value.

(3) Search query ingenuity (AND, OR, NOT, “site:”, etc.)
In the search literacy analysis process, the search query stored in the search query field of the user log table 221 is devised using a search expression (AND, OR, NOT, etc.) or limited search within a specific website. Analyze whether a command-based device such as “site:” is applied. When a search query using a search option setting such as a search expression or command is input, it can be analyzed that the search knowledge for handling the search expression or command is sufficient. The information search system 10 detects a search option setting such as a search expression or a command for the search query, and performs a scoring process as a scoring process for assigning an index value.

For example, in the record of the user (user ID: 001) illustrated in FIG. 9, search options such as a search expression and a command cannot be detected for each search query stored in the search query field. Analyze not. On the other hand, in the record of the user (user ID: 002) illustrated in FIG. 10, a search query is created by concatenating a plurality of keywords with a space such as “Asian Cup ● Kawa Agent”. Analyze that AND has been devised. The search query “Asia Cup”
We analyze that “site: wwww.tv-XXXX.co.jp” has been devised using the “site:” command.

(4) Presence / absence of click operation on search result In the search literacy analysis process, the search result URL information stored in the search result URL field of the user log table 221 and the browse URL information stored in the browse URL field are input. Analyze the adequacy of search queries. In the record of the user log table 221, the search result URL information stored in the search result URL field is a search result of various websites according to the search query, and the browse URL information stored in the browse URL field is of interest. This is a search result selected by discrimination of a user who desires certain information. Therefore, the search result stored in the search result URL field is compared with the browse URL information stored in the browse URL field to analyze whether the search query input is appropriate for the user. In the record of the user log table 221, when a line in which the browsing URL information is stored in the browsing URL field is distributed immediately after the line in which the searching result URL information is stored in the searching result URL field, an appropriate search for the user is performed. It can be analyzed that query input has been made. In this information search system 10, the presence or absence of a click operation on the search result is detected, and if no click operation has been performed, a deduction process is performed as a scoring process for assigning an index value.

  For example, in the record of the user (user ID: 001) illustrated in FIG. 9, five search results are stored in the search result URL field in which “adjia kup” is stored. However, immediately after the line storing the browsing URL information is not continuously distributed in the browsing URL field, “adjiak” is not an appropriate search query input for the user. analyse.

  On the other hand, in the “Asia Cup” in which five search results are stored in the search result URL field, the row in which the browsing URL information is stored in the browsing URL field is distributed immediately thereafter. Analyze with search query input appropriate for the user.

(5) Presence / absence of URL selection for search results In the search literacy analysis process, a search is performed from search result URL information stored in the search result URL field of the user log table 221 and browse URL information stored in the browse URL field. The presence / absence of the user's URL selection for the result is analyzed. The search result URL information stored in the search result URL field is various website URLs that are the results of the search in response to the search query, and the search result ULR information is output to the user devices 20 and 20a. On the other hand, the browsing URL information stored in the browsing URL field is URL information selected by the user's discrimination from the search result URL information output to the user devices 20 and 20a. Therefore, the search result URL information stored in the search result URL field is compared with the browse URL information stored in the browse URL field to analyze whether the information has been discriminated by the user. The presence / absence of URL selection for the search result is determined by the degree of coincidence between the order of search result URL information and the order of browsing URL information. In the information retrieval system 10, the order of search URL information is compared with the order of browsing URL information. If the degree of coincidence is high, a point deduction process is performed as a scoring process for assigning an index value.

For example, in the record of the user (user ID: 001) illustrated in FIG. 9, five search results are stored in the search result URL field in which “Asia Cup” is stored as the search query. Immediately after that, a row in which the browsing URL information is stored in the browsing URL field is distributed. Further, the rows in which the browsing URL information is stored in the browsing URL field are consecutive in the order of “AD_URL1” → “AD_URL2” → “WEB_URL1”. By comparing the browse URL information stored in the browse URL field in each row with the search result URL information in the search result URL field in which “Asia Cup” is stored as a search query, the user (user ID: 001) It is analyzed that the browse URL information that has been clicked is continuous in the order of the presented search result URLs. In this case, it is analyzed that URL selection by the user is not performed.

On the other hand, in the record of the user (user ID: 002) illustrated in FIG. 10, the search result URL field storing “Asia Cup site: wwww.tv-XXXX.co.jp” as the search query contains “AD_URL1”. , “AD_URL2”, “WEB_URL1”, “WEB_URL2”, and “WEB_URL3” are sequentially stored. Immediately after that, a line storing “AD_URL2” in the browsing URL field and a line storing “WEB_URL3” are continuously distributed. The browsing URL information stored in the browsing URL field in each row is compared with the search result URL information in the search result URL field in which “Asia Cup site: wwww.tv-XXXX.co.jp” is stored as a search query. Thus, the browsing URL information clicked by the user (user ID: 002) is analyzed that the URL selection by the user is performed.

  In the search literacy analysis process of the information search system 10, in order to use the analysis result as an index for literacy discrimination for the user, the scoring process is performed for each of the above-described matching conditions. In the search literacy analysis process, a scoring process is performed for each keyword included in the search query stored in the user log DB 220. As the scoring process executed in the analysis process of search literacy, for example, a scoring process in which basic points (for example, 50 points) are given in advance and points are added or subtracted depending on whether or not the above-described matching conditions are met is possible. .

  If the record of the user (user ID: 001) illustrated in FIG. 9 is taken as an example of the scoring process, a search query with zero search results has been input, and the “X” point deduction process is performed. In addition, in the search result URL field in which “adjia kup” is stored as a search query, a click operation which is a browsing request corresponding to the search result is performed even though the search result is obtained. Since it has not been performed, the “X” point deduction process is similarly performed. In addition, since the search result of “Asia Cup” as the search query is clicked in order from the top, the deduction process of “X” points is similarly performed. Therefore, in the record of the user (user ID: 001) illustrated in FIG. 9, for example, “X × number of points deducted” is deducted as a scoring process for 50 basic points. For example, when the “X” point is “3”, the user's literacy index value illustrated in FIG. 9 is “41”, which is lower than the basic point 50.

  Similarly, the record of the user (user ID: 002) illustrated in FIG. 10 is taken as an example of the scoring process. In the record of the user (user ID: 002) illustrated in FIG. 10, since a search expression or a command is used in the search query, “Y” point addition processing is performed. Note that points may be assigned according to the complexity of the search expression, for example, the number of logical operators (AND, NOT, OR, etc.). In addition, since a click operation is performed according to the search result of each search query, the “Y” point adding process is performed. Furthermore, in the click operation according to the search result of each search query, since selection is performed by selecting URL information, “Y” point addition processing is performed. Therefore, in the record of the user (user ID: 002) illustrated in FIG. 10, for example, “Y × number of points added” is added as a scoring process for 50 basic points. For example, when the “Y” point is set to “4”, the user's literacy index value illustrated in FIG. 10 is “62”, which is higher than the basic point 50.

As described above, in the search literacy analysis process of the information search system 10, the search literacy is determined for each keyword included in the search query stored in the user log table 221 by performing the scoring process for each matching condition described above. An index value can be obtained. Then, by calculating and averaging the index values for all keywords for each user, it is possible to obtain the ability determination value for the entire search operation. By performing the averaging of the index values for all the keywords, it is possible to determine literacy for the entire search operation that is not biased to the user's specialty field and the weak field of the user who made the search request. The search literacy determination unit 140 executes an averaging process for each user of the index values obtained for each keyword.

  In the above scoring example, “X” points are scored as the deduction process and “Y” points are scored as the score process. However, a scoring process using a common score (“X” = “Y”) may be used. Also, for example, a plurality of scoring standards having differences in stages, such as “4” points, “3” points, “2” points, “1” points, etc., may be provided, and scoring may be performed according to the matching conditions. .

  Furthermore, in the above scoring processing example, points are added and deducted for each collation condition after giving a basic point. However, a point deduction method may be adopted in which points are not added and points are deducted if the collation conditions are not met. Conversely, a point addition method may be used in which points are added when matching conditions are met without deduction.

[Process flow]
FIGS. 11 to 13 illustrate flowcharts of processing executed by the analysis server device 100 of the information search system 10. The flowchart illustrated in FIGS. 11 to 13 is processing executed by the search log acquisition unit 110, the search log processing unit 120, the search literacy analysis unit 130, and the search literacy determination unit 140.

  In the flowchart illustrated in FIG. 11, the search log acquisition unit 110 acquires the search history stored in the search history DB 410 by regular processing, and extracts the search query log 211, the click URL log 212, and the search result display log 213. And stored in the search log DB 210 (S1). Then, the search log processing unit 120 generates a user log table 221 from the search query log 211, the click URL log 212, and the search result display log 213 stored in the search log DB 210, and stores them in the user log DB 220 (S2 to S3). ). The user log table 221 is obtained by combining log files using the session ID of each log file extracted by the search log acquisition unit 110 as a combination key.

  Next, the search literacy analysis unit 130 performs an analysis process on the search keyword included in the search query based on various information in the user log table 221. In the following process, the search literacy calculation table 231 in which the result of the literacy analysis process is stored will be described as being created for each user ID as illustrated in FIG.

  The search literacy analysis unit 130 determines whether the search literacy calculation table 231 for the user ID of the user log table 211 stored in the user log DB 220 exists in the search literacy DB 230 (S4). The search literacy analysis unit 130 searches the search literacy DB 230 using the user ID that is the target of analysis processing as a search key, and determines whether there is a search literacy calculation table 231 that includes the user ID that is the target of analysis processing.

  If the search literacy calculation table 231 for the user ID to be analyzed does not exist in the search literacy DB 230 (S4 “NO”), the search literacy analysis unit 130 calculates the search literacy for the user ID to be analyzed. The table 231 is created and stored in the search literacy DB 230 (S6). On the other hand, when the search literacy calculation table 231 for the user ID to be analyzed exists (S4 “YES”), the stored search literacy calculation table 231 is read (S5). This is because the index value assigned to the search keyword is reflected in the ability determination value of the user. In the following description, an example of analysis processing will be described with the first word noun of the search query accepted at the time of the search request as the search keyword.

  The processing in steps S4 to S6 is not limited to FIGS. For example, when a group of records for each user is used as a unit block and a plurality of user blocks continuously form one table, in step S4, search literacy is performed using the user ID that is the object of analysis processing as a search key. The calculation table 231 may be searched. Then, when there is no unit block corresponding to the search literacy calculation table 231 (S4 “NO”), a unit block of the user ID to be analyzed is created and stored in the search literacy calculation table 231. (S6). If a unit block corresponding to the search literacy calculation table 231 exists, the unit block of the corresponding user ID may be read (S4 “YES” to S5).

  In the flowchart illustrated in FIG. 12, the search literacy analysis unit 130 determines whether the search literacy calculation table includes a search keyword row corresponding to the search query of the user log table 211 (S101). The search literacy analysis unit 130 searches the search keyword information stored in the keyword field of the search literacy calculation table 231 and determines whether the corresponding search keyword exists.

  When there is no corresponding search keyword in the keyword field of the search literacy calculation table 231 (S101 “NO”), the search literacy analysis unit 130 corresponds to the search keyword (referred to as a search literacy calculation line). And the search keyword is stored in the keyword field (S103). On the other hand, if the corresponding search keyword exists in the keyword field of the search literacy calculation table 231 (S101 “YES”), the corresponding keyword information (keyword, index value) is read (S102). Note that the search literacy analysis unit 130 assigns a basic point (for example, “50” point) for calculating the index value to the corresponding search keyword in steps S102 and S103. Further, the point addition process and the point deduction process processed in the following steps are performed on the basic points newly given in steps S102 and S3. Note that the keyword information (keywords, index values) read in step S102 is stored in a work area such as the memory 302 of the information processing apparatus 300, for example. Similarly, the basic points assigned in steps S102 and S103 are stored in a work area such as the memory 302 of the information processing apparatus 300.

In the flowchart illustrated in FIG. 12, the search literacy analysis unit 130 first determines the contrivance of the search query (S104). The search literacy analysis unit 130 performs a limited search within a specific Web site for the presence or absence of logical operators (AND, OR, NOT, etc.) for the search query stored in the search query field of the user log table 221. :
The presence or absence of a command such as “” is determined. The search literacy analysis unit 130 does not perform the scoring process for the corresponding search keyword when no logical operator or command can be detected for the search query (S104 “NO”). The search literacy analysis unit 130 does not update the index value (basic point: “50” point) given to the corresponding search keyword (S106).

  On the other hand, when the search operator expression or command can be detected for the search query (S104 “YES”), the search literacy analysis unit 130 performs “Y” point addition processing (S105), and proceeds to step S107. . In the illustrated example, “3” points are assigned as “Y” points.

In step S107 in FIG. 13, the search literacy analysis unit 130 determines the validity of the input search query. The search literacy analysis unit 130 determines whether there is URL information that is a search result stored in the search result URL field of the user log table 221. When there is URL information in the search result URL field of the user log table 221 (S107 “NO”), the search literacy analysis unit 130 does not perform the scoring process for the corresponding search keyword, and the index of the corresponding search keyword. The value is not updated (S109).

  On the other hand, if there is no URL information in the search result URL field of the user log table 221 (S107 “YES”), the search literacy analysis unit 130 determines that a search query with zero search results has been input, The “X” point deduction process is performed (S108), and the process proceeds to step S110. In the illustrated example, “3” points are assigned as “X” points.

  In step S110, the search literacy analysis unit 130 determines whether the input search query is a search query that requires morphological analysis. The search literacy analysis unit 130 determines whether the search query stored in the search query field of the user log table 221 is a search sentence described in natural language, for example. Moreover, as a case where morphological analysis is not necessary, for example, a keyword that does not require morphological analysis, a search formula, a continuous arrangement of keywords by commands, and the like can be exemplified.

  When a search query that does not require morphological analysis is stored in the search query field (S110 “NO”), the search literacy analysis unit 130 does not perform the scoring process and updates the index value of the corresponding search keyword. Is not performed (S112). On the other hand, when a search query that requires morphological analysis is stored in the search query field (S110 “YES”), the search literacy analysis unit 130 points “X” (“3” in the example). (S111), the process proceeds to step S113.

  In step S113, the search literacy analysis unit 130 determines whether the input search query is an appropriate search query for clicking the search result. The search literacy analysis unit 130 determines whether or not the line in which the URL information is stored in the browsing URL field is distributed immediately after the line in which the URL information is stored in the search result URL field in the record of the user log table 221. To do. When the browsing URL information is stored as the browsing URL field in the line immediately after the URL information is stored in the search result URL field, at least for the user who performed the search input, significant URL information for tracing the search result is obtained. Can be judged. That is, the search result URL information is worthy of a click operation for the user, and it can be determined that an appropriate search query has been input.

  The search literacy analysis unit 130 does not perform the scoring process and does not update the index value of the corresponding search keyword when there is a click operation on the search result for the input search query (S113 “NO”). (S115). On the other hand, when there is no click operation on the search result for the input search query (S113 “YES”), the search literacy analysis unit 130 performs a deduction process of “X” points (“3” points in the example). (S114), the process proceeds to step S116.

In step S116, the search literacy analysis unit 130 determines whether or not URL selection is performed on the search result. In the record of the user log table 221, the search literacy analysis unit 130 searches the search result URL information stored in the search result URL field and the browse URL information stored in the browse URL field of the row immediately after. It is determined whether or not the user has selected URL. For example, the URL stored in the browse URL field is the search result stored in the search result URL field, and the URL stored in the browse URL field is arranged in a continuous row in the order of the URL stored in the search result URL field. Therefore, it can be determined that the user has not performed information discrimination (URL selection). This is because the degree of matching with respect to the arrangement order of the search result URL information and the browsing URL information is high. Further, for example, the URL stored in the browsing URL field is the search result stored in the search result URL field, and is arranged in a continuous row in an arbitrary order from a plurality of URLs stored in the search result URL field. In such a case, the degree of matching is low, and the user discriminates information (UR).
L selection) can be determined.

  When the URL selection for the search result is performed (S116 “NO”), the search literacy analysis unit 130 does not perform the scoring process and does not update the index value of the corresponding search keyword (S118). On the other hand, the search literacy analysis unit 130 performs deduction processing of “X” points (“3” points in the example) in the case where URL selection is not performed on the search results (S116 “YES”) (S117). The process proceeds to step S119.

  In step S119, the search literacy analysis unit 130 determines whether the search keyword that has been subjected to the scoring process in steps S101 to S118 is new. When the search keyword is new (S119 “YES”), the search literacy analysis unit 130 stores, in the index value field, scoring information obtained by adding or subtracting the basic points to the base point as an index value. On the other hand, if the search keyword is not new (S119 “NO”), the average of the index value read in step S5 and the index value obtained by subjecting the basic point assigned in step S102 to point addition or deduction processing is calculated. Calculate (S120) and store it again in the index value field as an index value reflecting the scoring information. In step S120, since the average of the existing index value and the newly processed index value is taken, for example, index value fluctuations for a plurality of short-term search requests having the same search keyword can be suppressed. For this reason, the index value assigned to each search keyword is stable. The search literacy determination unit 140 can determine the user's search literacy with a stable index value that suppresses short-term index value fluctuations.

  The search literacy analysis unit 130 repeats the processing of steps S101 to S120 until there is no unprocessed search keyword in the user log table 211. Although the analysis processing is described as the search keyword for the first word noun of the search query received at the time of the search request, if a plurality of word nouns are included in the search query, the step is performed for all word nouns. The processes of S101 to S120 are repeated. If there is no unprocessed search keyword in the user log table 211, the search literacy analysis unit 130 proceeds to step S7.

  In step S <b> 7, the search literacy determination unit 140 calculates the average of the index values stored in the index value field for all the search literacy calculation tables 231 of the user ID that has been subjected to the scoring process. The search literacy determination unit 140 adds the calculated average value to the search literacy calculation table 231 for the user ID as a capability determination value for literacy for each user. The search literacy determination unit 140 stores, for example, a word “[General search operation (average)]” representing the result of the user's literacy determination in the keyword field, and the ability determination value calculated in the corresponding index value field Is stored. The search literacy determination unit 140 can be added to the last row of the search literacy calculation table 231 for the user ID, for example.

Note that the wording indicating the result of the literacy determination stored in the keyword field of one row of the search literacy calculation table 231 may be an expression indicating the result of the literacy determination of the user. For example, “00000”, “XXXX”, “User ID: Total”, “Total Judgment”, “★★★★”, etc. In addition, the expression format of the ability judgment value stored in the index value field of the row in which the word “[general search operation (average)]” is stored is identified according to the ability judgment value. It may be expressed by a symbol such as “A”, “B”, “C” or the like representing a class.

The search literacy analysis unit 130 and the search literacy determination unit 140 repeat the processes in steps S4 to S7 and steps S101 to S120 until there is no unprocessed user ID in the user log table 211. When there is no unprocessed user ID in the user log table 211, the search literacy determination unit 140 stores the search literacy calculation table 231 in the search literacy DB 230. The search literacy calculation table 231 stored in the search literacy DB 230 includes a record in which a search keyword is newly added and a record for which update processing has been performed.

  Through the above processing, the search literacy analysis unit 130 assigns an index value for literacy discrimination for each keyword included in the search query, and the search literacy determination unit 140 calculates an average of the index values for all keywords. As a result, the information search system 10 can determine, for each user, literacy for the entire search operation that is not biased to a specific field to which the search keyword belongs.

[UI presentation processing]
FIG. 14 illustrates a flowchart of UI presentation processing. The flowchart illustrated in FIG. 14 is a real-time process executed by the UI presentation processing unit 150.

  In the flowchart illustrated in FIG. 14, the UI presentation process start (START) can be exemplified by accepting a search request (accepting a search query) input via the user devices 20 and 20a, for example. The UI presentation processing unit 150 acquires a user ID associated with the search request (S11). For example, the search server device 30 may notify the analysis server 100 of the user ID when the search request is received, and the user ID accompanying the search request from the user devices 20 and 20a is detected in a form mediated by the analysis server device 100. The search server device 30 may be notified of the search request. A start condition can be selected according to the operation accuracy required for the information retrieval system, the scale of the system, the capacity of the external storage device in which the database is constructed, and the like.

  The UI presentation processing unit 150 determines whether or not the user ID acquired in step S11 (hereinafter referred to as a corresponding user) exists in the search literacy calculation table 231 stored in the search literacy DB 230 (S12). The UI presentation processing unit 150 searches the user ID field of the search literacy calculation table 231 using the acquired user ID as a search key.

  When the user ID does not exist in the search literacy calculation table 231 stored in the search literacy DB 230 (S12, “NO”), the UI presentation processing unit 150 presents default user interface (UI) information (S15). ). The default user interface information is a search screen presented by a conventional search system, and is a general-purpose search screen that does not depend on user literacy.

  On the other hand, when the user ID exists in the search literacy calculation table 231 stored in the search literacy DB 230 (S12, “YES”), the UI presentation processing unit 150 stores the search literacy calculation table 231 of the corresponding user ID. The stored various information is read (S13). In step S <b> 13, the UI presentation processing unit 150 searches for a word indicating the search literacy determination result stored in the keyword field, and reads the ability determination value stored in the index value field of the bank. The ability determination value stored in the index value field is a value representing literacy determination for the entire search operation of the user.

Next, the UI presentation processing unit 150 determines the literacy of the corresponding user read in step S13 (S14). For example, if the ability determination value stored in the index value field is scoring information, the ability determination value is determined by threshold determination. As an example, in the search literacy calculation table 231 illustrated in FIG. 7, “40” is stored as the capability determination value in the user example (1) and “50” in the user example (2). If the threshold value for literacy determination is “50” and it is determined that the capability determination value equal to or higher than the threshold value is high, it can be determined that (1) is low and (2) is high. In the case where the expression format of the ability determination value stored in the index value field is a symbol such as “A”, “B”, “C” or the like representing a literacy identification class corresponding to the ability determination value, for example, “A If it matches “”, it can be determined to be high, and if it does not match “A”, it can be determined to be low. In step S14, the UI presentation processing unit 150 performs high / low determination of the capability determination value of the corresponding user by threshold determination or comparison determination.

  When the ability determination value of the corresponding user is high (S14, “YES”), the UI presentation processing unit 150 presents user interface information for a user with high search literacy (S16). When the ability determination value of the corresponding user is low (S14, “NO”), user interface information for a user with low search literacy is presented (S17).

  The UI presentation processing unit 150 executes the processes of steps S11 to S17 each time a search request is made from the user.

[Example of UI presentation]
15 and 16 illustrate UI presentation screens. 15 and 16 are examples of presentation screens displayed on the user device. FIG. 15 is an example of a screen presented to a user with low literacy in the UI presentation process. For example, it is a user (user ID: 001) who has entered a search query via the user device 20, and a user who has created the user log record illustrated in FIG. FIG. 16 is an example of a screen presented to a user with high literacy in the UI presentation process. For example, it is a user (user ID: 002) who has entered a search query via the user device 20a, and a user who has created the user log record illustrated in FIG.

  The presentation screen illustrated in FIG. 15 is a search result presentation screen 50 when the user inputs “P • IDE” as a search query. The search query input to the search window 50a is composed of only one word as a search keyword. In the search result 50b for this search query, about 12 million or more Web sites are hit. The presentation screen 50 is a screen that displays the first 1 to 10 search results, and presents search result URL information for 10 hits.

  In the display area 50c of the presentation screen 50, advice information for a search operation for the input search query is presented. In the example shown in the figure, only one word as a search keyword is input, so a method of narrowing down the search result is proposed with the expression “Do you narrow down by category?”. Then, a specific search query for revising the line and narrowing down the search information to the line immediately after the line is presented. In the illustrated example, a search query such as “P • IDE-martial arts”, “P • IDE−music”, “P • IDE−Ima • Beauty”, etc., in which category information is continuously added to the search keyword input by the user. Is being presented. Also, in the example of the figure, a proposal is made to narrow down the expression type of desired information from the input search keyword “P • IDE” with the expression “■ Do you want to limit to video sites?”. Then, the line is changed and a search query including a search command such as “PIDE-site: www.y... Be.com” is presented in the line immediately after.

  In the display area 50d of the presentation screen 50, the knowledge information related to the search option is presented in a subwindow. In the example of the figure, the setting information of the character size displayed on the search result screen is presented in an expression such as “<Search Tips> Characters can be easily enlarged” in the sub-window frame. In order to change the character size of the search result screen, the character size after the change is selected from the character size setting provided in the sub-window frame with a mouse pointer or the like and set. The user can change the character size from the sub-window displayed on the screen without clicking the search option on the search result screen again.

In the presentation screen 50, the display areas 50c and 50d are preferably located in the vicinity of the search window 50a, and more preferably at the beginning of the search result display area as shown in the figure.

  The presentation screen illustrated in FIG. 16 is a search result presentation screen 50 when ““ P • IDE ”AND“ moving image ”-“ music ”” is input as a search query. The presentation screen 50 is a screen that displays the first to tenth search results, and URL information for the ten hits is presented. The search query input to the search window 50a is composed of a search expression in which a plurality of search keywords are connected by an AND operator and an operator other than the search query. The search result 50b for this search query is narrowed down to about 160,000 Web sites.

  In the display area 50e of the presentation screen 50, the search conditions used in the search query are explained, so that the explanation information for the search result is omitted and the screen space is compressed. In the example of the figure, the expression “only sites that do not include [music] are targeted for search” is omitted in the description of various categories and various types of Web sites for the search results. Further, in the example shown in the figure, following the explanation of the search condition, the re-search advice for all sites is given by the expression “re-search for all sites”. In addition, each URL information of the search result displayed on the presentation screen 50 can be viewed on the on-screen display 50f by positioning the cursor position on the title display area with a mouse pointer or the like. The on-screen display 50f is used to explain the URL information displayed in the title, thereby reducing the screen space. In the example, if you place the mouse pointer etc. on the title display of “Paid video site“ XX ”monthly fee 200 yen”, the URL “www.show · me.jp” of the website displaying the title is displayed on-screen. Is done.

  By presenting the search result screen according to the user's literacy as a UI screen in this way, for beginners unfamiliar with the search, knowledge and advice regarding a predetermined search operation are presented, which makes the user feel unfriendly. There is no. On the other hand, for users with high literacy, excessive explanations and the like that are unnecessary for the search results are omitted, and the presented search result screen does not feel bothersome. Therefore, it is possible to provide a search service with a high degree of satisfaction for both users with high literacy and users unfamiliar with search.

〔effect〕
According to the embodiment described above, the information search system 10 can provide user interface (UI) information according to the literacy of the user who uses the search service together with the presentation of the search result. The information search system 10 determines whether an input search query requires an auxiliary function of a search engine such as morphological analysis. For this reason, it can be determined whether the knowledge of the information retrieval operation is sufficient. In addition, the information search system 10 determines whether or not a search expression or a command is used for the input search query. For this reason, it can be determined whether the knowledge of the search input is sufficient. Further, the information search system 10 determines whether there is a search result corresponding to the input search query. Therefore, it is possible to determine the validity of the search query input to obtain desired information. In addition, the information search system 10 determines whether a browsing request has been made from the search result presented to the user. For this reason, it can be determined whether the input is an appropriate search query worth making a browsing request. Further, the information search system 10 determines a user's selection operation for the presented search result. For this reason, the discrimination ability to the ULR information presented as the search result can be determined. Further, the information search system 10 assigns an index value for literacy discrimination for each keyword included in the search query, and calculates an average of the index values for all keywords. For this reason, it is possible to determine literacy for the entire search operation that is not biased toward a specific keyword. In addition, the information search system 10 presents user interface information according to the ability determination values calculated for all keywords. For this reason, the convenience of the search service provided by the information search system 10 can be improved, and the satisfaction of the user who uses the search service can be improved.

  In the above description, the search keyword target included in the search query is (1) the first word noun of the search query accepted at the time of the search request, and (2) all word nouns included in the search query. In addition to this, for example, based on a history of processing performed in the past, (3) a search keyword target may be specified based on a browsing request for a search query received at the time of a search request. For example, the word information included in the search query corresponding to the last line in which the browsing URL information of the user log record is stored can be exemplified. At that time, high priority may be given to words having a large number of user log records. When a plurality of words are included in the same search query, one or a plurality of words may be selected as keyword information in order of priority. (4) A common keyword included in a search query over a plurality of sessions at the time of a search request may be set as a search keyword target. For example, keyword information included in common search query information of user log records can be exemplified.

<Computer-readable recording medium>
A program for causing a computer or other machine or device (hereinafter, a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by the computer or the like. The function can be provided by causing a computer or the like to read and execute the program of the recording medium.

  Here, a computer-readable recording medium is a recording medium that stores information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. Say. Examples of such a recording medium that can be removed from a computer or the like include a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disk, a DAT, an 8 mm tape, a flash memory, and the like. There are cards. In addition, as a recording medium fixed to a computer or the like, there are a hard disk, a ROM (read only memory), and the like.

DESCRIPTION OF SYMBOLS 10 Information search system 20 User apparatus 30 Search server apparatus 40 Storage apparatus 100 Analysis server apparatus 110 Search log acquisition part 120 Search log process part 130 Search literacy analysis part 140 Search literacy judgment part 150 UI presentation process part 200 Storage apparatus 210 Search log DB
211 Search Query Log 212 Click URL Log 213 Search Result Display Log 220 User Log DB
221 User log table 230 Search literacy DB
231 Search literacy calculation table 300 Information processing device 301 CPU
302 Memory 303 Storage unit 304 Input unit 305 Output unit 306 Communication unit

Claims (9)

The search history information stored in the storage device connected to the information processing apparatus is searched according to the identification information of the user who made the search request, the search query information received in the search request, and the search query information Means for extracting search result URL information and browsing URL information for which a browsing request has been made from the search result URL information in association with the identification information of the user, and storing it in the storage device as user log information;
Literacy analysis means for assigning a capability determination value of the user according to a determination criterion including at least one of a configuration of the search query information included in the user log information and a correspondence relationship between the search result URL information and the browsing URL information When,
An information processing apparatus comprising: UI presentation processing means for presenting user interface information corresponding to the capability determination value.   The literacy analysis unit further assigns an index value calculated by applying the determination criterion for each search query information to the keyword information, and calculates an average value of the index values given to the keyword information for each user. The information processing apparatus according to claim 1, wherein the ability determination value is given by calculation.   The information processing apparatus according to claim 2, wherein the literacy analysis unit determines whether there is the search result URL information searched according to the search query information and assigns an index value.   The information processing apparatus according to claim 2, wherein the literacy analysis unit determines whether the search query information requires morphological analysis and assigns an index value.   The information processing apparatus according to any one of claims 2 to 4, wherein the literacy analysis unit determines whether the search query information includes a predetermined search option setting and assigns an index value.   The information processing apparatus according to claim 2, wherein the literacy analysis unit determines whether or not a browsing request for the search result URL information has been made and assigns an index value.   The literacy analysis means analyzes whether or not a browsing request for the search result URL information is selected from the search result URL information and gives an index value. The information processing apparatus according to item. In the information processing device,
The search history information stored in the storage device connected to the information processing apparatus is searched according to the identification information of the user who made the search request, the search query information received in the search request, and the search query information Extracting the search result URL information and the browse URL information requested to be browsed from the search result URL information as user log information in association with the identification information of the user;
Assigning the ability determination value of the user according to a determination criterion including at least one of a correspondence relationship between the search result URL information and the browsing URL information, and a configuration of the search query information included in the user log information;
A step of presenting user interface information corresponding to the ability determination value. An information search system including an information processing apparatus capable of communicating with a plurality of terminals,
The information processing apparatus includes:
The search history information stored in the storage device connected to the information processing apparatus is searched according to the identification information of the user who made the search request, the search query information received in the search request, and the search query information Means for extracting search result URL information and browsing URL information for which a browsing request has been made from the search result URL information in association with the identification information of the user, and storing it in the storage device as user log information;
Literacy analysis means for assigning a capability determination value of the user according to a determination criterion including at least one of a configuration of the search query information included in the user log information and a correspondence relationship between the search result URL information and the browsing URL information When,
UI presentation processing means for presenting user interface information according to the capability determination value;
An information retrieval system comprising:

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