JP7175466B2 - Information processing device, information processing method, and program - Google Patents

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing apparatus or the like that accumulates and utilizes history information related to information retrieval.

Conventionally, there has been an information retrieval apparatus that accepts only keywords as input from users and implements information presentation that takes diversity into account without viewing individual documents (see Patent Document 1).

Such an information retrieval device receives a search query, generates information to be presented to the user who issued the search query from the search result, and has a query statistical information storage that stores statistical information calculated from the search log. means for generating a list of narrowing search queries corresponding to the input search query based on the search query input to the information retrieval device and using the statistical information stored in the query statistical information storage means. A search is performed using condition analysis means and individual search queries in the list of search queries generated by the search condition analysis means, and information to be presented to a user is generated using search results for the individual search queries. presentation information generating means;

JP 2014-99062 A

However, in the conventional device, the search history cannot be appropriately used because the user's attribute value cannot be used to process the terms used for the search.

In other words, in the conventional technology, for example, in a school such as a university or a vocational school, a user (for example, a student)'s attribute value (for example, grade, gender, whether or not to repeat a grade, etc.) is managed, and a student gives a lecture. It has not been possible to improve the learning of students and the education of instructors by retrieving the meanings of terms that are not understood by the intermediate level, accumulating and using the history of the retrieval.

Therefore, in the present invention, for example, in a situation where user attribute values (for example, grade, gender, whether or not to repeat a grade, etc.) are managed, statistical processing is performed on the terms and the like used by the user to search for information. , intended to be used. Note that the use means, for example, measuring a student's proficiency in a lecture or evaluating the lecture.

The information processing apparatus of the first invention comprises a user information storage unit storing one or more pieces of user information having a user identifier for identifying a user and one or more attribute values of the user; A query for receiving query information having a search history information storage unit that stores search history information that is information about terms used for information retrieval, a user identifier, and one or more terms used for information retrieval an information receiving unit; a search history information updating unit that updates search history information associated with a user identifier in the inquiry information using one or more terms in the inquiry information; and a search history information storage unit. Using search history information and one or more attribute values in the user information storage unit, a processing result acquisition unit that performs predetermined processing and acquires the processing result, and a processing result output unit that outputs the processing result. It is an information processing device that

With such a configuration, the user's attribute value can be used to process terms used for searching.

Further, in the information processing apparatus of the second invention, in contrast to the first invention, the search history information has time information related to the time when the information search was performed, and the inquiry information receiving unit receives the inquiry information. Further comprising a time information acquisition unit that acquires time information related to the time at which the information search was performed in response to the reception, the search history information update unit updates one or more terms included in the inquiry information and the time information acquisition unit is an information processing apparatus that updates search history information associated with a user identifier included in inquiry information, using time information acquired by .

With such a configuration, it is possible to process the term used for the search using the information on the time of the search.

Further, in the information processing apparatus of the third invention, in contrast to the first invention, two or more pieces of user information are stored in the user information storage unit, and one or more attribute values possessed by each of the two or more pieces of user information are stored as A user classifying unit that classifies users into groups using the user classifying unit, and a processing result acquiring unit pre-register search history information associated with user identifiers of one or more users belonging to the groups classified by the user classifying unit. A processing result output unit is an information processing device that performs predetermined processing, acquires a processing result corresponding to a group, and outputs the processing result corresponding to the group.

With such a configuration, it is possible to process terms used for searches for each user group.

Further, in the information processing apparatus of the fourth invention, in contrast to the third invention, the user information has an attribute value that changes with time, and the user classification unit uses the attribute value that changes with time. It is an information processing device that classifies users into groups.

With such a configuration, users can be appropriately grouped, and processing for terms used for searches can be performed for each user group.

In addition, the information processing device of the fifth invention provides, for any one of the first to fourth inventions, a lecture identifier that identifies a lecture or a lecturer identifier that identifies a lecturer, and one or more terms or lecture time A lecture information storage unit that stores two or more lecture information having time zone information indicating a period, and one or more terms contained in the inquiry information received by the inquiry information reception unit, or the time when information search was performed and an identifier acquisition unit that acquires a lecture identifier or lecturer identifier from two or more lecture information in association with the inquiry information using time information related to Second, it is an information processing device that performs predetermined processing on search history information and acquires the processing result.

With such a configuration, it is possible to process the terms used for searching for each lecture and each lecturer.

Further, the information processing apparatus of the sixth invention is a learning device in which a field identifier for identifying a learning field and a term group that is one or more terms are associated with any one of the first to fifth inventions. The information processing apparatus further includes a learning field dictionary storage unit for storing field dictionaries, and the processing result obtaining unit obtains a processing result, which is a field identifier, using one or more terms included in the search history information.

With such a configuration, the field of the term searched by the user can be easily grasped.

Further, the information processing device of the seventh invention is a learning device in which a field identifier for identifying a learning field and a term group that is one or more terms are associated with any one of the first to fifth inventions. The learning field dictionary storage unit stores field dictionaries, and the processing result acquisition unit is one or more terms included in the inquiry information acquired during a predetermined period and satisfies a predetermined condition. An information processing apparatus that acquires a processing result that is one or more terms that are included in a number that satisfies a condition.

With such a configuration, terms that are often searched for can be easily grasped.

According to the information processing apparatus of the present invention, it is possible to process terms used for searching using user attribute values.

A diagram showing a conceptual diagram of an information system A according to Embodiment 1 Block diagram of the same information system A Flowchart for explaining an operation example of the information processing device 1 Flowchart for explaining an example of the course determination process Flowchart explaining an example of the same statistical processing Flowchart explaining an example of statistical processing for the same user Flowchart explaining an example of statistical processing by group Flowchart explaining an example of statistical processing for each instructor Flowchart explaining an example of statistical processing for each lecture Flowchart explaining an example of statistical processing by field Flowchart explaining an operation example of the terminal device 2 A diagram showing a synonym dictionary Diagram showing the same learning field dictionary Diagram showing the lecture information management table Diagram showing the same user information management table Diagram showing the registration form Diagram showing the same search history information management table A diagram showing an example of the screen of the terminal device 2 Diagram showing the updated search history information management table Overview of the computer system Block diagram of the same computer system

Hereinafter, embodiments of an information processing apparatus and the like will be described with reference to the drawings. It should be noted that, since components denoted by the same reference numerals in the embodiments perform similar operations, repetitive description may be omitted.

(Embodiment 1)

In the present embodiment, an information system having an information processing device that accumulates terms used for information retrieval in association with registered user profile information will be described. Note that in the present embodiment, time information indicating the searched time is also stored in association with the term. User profile information is information about a user, and may be considered to be the same information as user information described later.

Further, in the present embodiment, an information system including an information processing device that performs predetermined processing on a group of terms used for information retrieval and outputs the processing result will be described. The predetermined processing is usually statistical processing, which will be described later.

Further, in the present embodiment, an information system including an information processing apparatus that determines groups of two or more users using user profile information and processes term groups for each group will be described.

Further, in the present embodiment, an information system including an information processing device that determines a user group using transition of user profile information and processes a term group for each group will be described. Note that the transition of the user profile information is, for example, the transition of the school year, and is information from which it is possible to determine whether or not to repeat a grade.

Furthermore, in the present embodiment, the term used for information retrieval or time information indicating the time of retrieval is used to identify a lecture or lecturer, and the processing result for the term is displayed in association with the lecture or lecturer. Output.

In addition, as a result of the processing in the present embodiment, the output processing result may be, for example, a set of terms used in searches during a predetermined period, a set of terms frequently used in searches, one or more terms It is the information etc. which show a corresponding learning field.

FIG. 1 is a conceptual diagram of an information system A according to this embodiment. An information system A includes an information processing device 1 and one or more terminal devices 2 . The information processing device 1 is a so-called server device here. The information processing device 1 is, for example, a cloud server or an ASP server, but its type and installation location do not matter. The terminal device 2 is a mobile terminal such as a smart phone, a tablet terminal, a mobile phone, a so-called personal computer, or the like, and the type thereof does not matter. The information processing device 1 and one or more terminal devices 2 can communicate with each other via a network such as the Internet. Also, the user of the terminal device 2 is, for example, a student, but may be a person at a school such as a university or a vocational school. The person on the school side is, for example, a lecturer, a teacher, a person on the management side of educational affairs, or the like.

FIG. 2 is a block diagram of the information system A according to this embodiment.

The information processing device 1 that constitutes the information system A includes a storage unit 11 , a reception unit 12 , a processing unit 13 and an output unit 14 . Storage unit 11 includes term dictionary storage unit 111 , learning field dictionary storage unit 112 , lecture information storage unit 113 , user information storage unit 114 , and search history information storage unit 115 . The receiver 12 includes an inquiry information receiver 121 and an output instruction receiver 122 . The processing unit 13 includes a time information acquisition unit 131 , a user classification unit 132 , a search history information update unit 133 , an identifier acquisition unit 134 and a processing result acquisition unit 135 . The output unit 14 includes a description information transmission unit 141 and a processing result output unit 142 .

The terminal device 2 includes a terminal storage section 21 , a terminal reception section 22 , a terminal processing section 23 , a terminal transmission section 24 , a terminal reception section 25 and a terminal output section 26 .

Various types of information are stored in the storage unit 11 constituting the information processing apparatus 1 . The various types of information are, for example, a term dictionary, which will be described later, a learning field dictionary, which will be described later, lecture information, which will be described later, user information, which will be described later, search history information, which will be described later, and student course information. The course registration information is information indicating the course that the user is taking, and has a user identifier (for example, student number) that identifies the user and a course identifier that identifies the course. The students are, for example, school students, cram school students, and the like. Schools include, for example, universities, graduate schools, vocational schools, high schools, technical colleges, junior high schools, and elementary schools.

The term dictionary storage unit 111 stores term dictionaries. A term dictionary is information on a dictionary of terms. A term dictionary includes two or more term information. The term information is a pair of a term and explanatory information that is a description of the term. The descriptive information is composed of, for example, one or more types of information of text, still image, video, and audio. It should be noted that the data structure, data type, etc. of the explanatory information are not limited. A term is usually one word, but may include one or more of collocations, sets of two or more words, and character strings forming sentences.

The learning field dictionary storage unit 112 stores learning field dictionaries. A learning field dictionary is information about a learning field. The learning field dictionary has two or more field information. The field information is information in which a field identifier that identifies a learning field and a term group that is one or more terms are associated with each other.

Two or more pieces of lecture information are stored in the lecture information storage unit 113 . Lecture information is information about a lecture. Lecture information is information specifying a lecture or a lecturer who gives the lecture. The lecture information has a lecture identifier that identifies the lecture. The lecture information includes, for example, one or more of a lecturer identifier that identifies the lecturer, one or more terms, and time zone information. The time period information is information indicating the time period of the lecture. The time period information is, for example, 1st period, 4th period, 9:00 to 10:30, 16:30 to 18:00, and the like. The lecture information may also include one or more terms explained or used in the lecture.

The user information storage unit 114 stores one or more pieces of user information. User information is information about a user. A user is a student, for example. The user information has a user identifier that identifies the user and one or more attribute values of the user. The attribute values are, for example, grade, gender, affiliated faculty, affiliated department, affiliated laboratory name, high school attended, grade information indicating grades, and the like. User information has a name, for example. User information preferably has one or more attribute values that change over time. Attribute values that change over time are, for example, the 2017 academic year and the 2018 academic year. It should be noted that if the academic year of 2017 and the academic year of 2018 are the same, it indicates that the student has repeated a year. The grade information may be associated with a lecture identifier. For example, the score information is one of "S, A, B, C, D", one of "excellent, good, acceptable, not acceptable", and a score (for example, a score out of 100 points) , evaluation values (eg, 10-level evaluation, 5-level evaluation).

Search history information is stored in the search history information storage unit 115 in association with the user identifier. It should be noted that the fact that the information B exists in association with the information A may be that the information B includes the information A. The search history information storage unit 115 may store two or more pieces of search history information in association with a user identifier.

Search history information is information about terms used in information searches. Information retrieval is usually retrieval of explanatory information, but may also be considered to include retrieval of web pages and the like. Search history information typically includes one or more terms. The search history information may have one or more terms and time information. The time information is information related to the time when the information search was performed. The time information is, for example, information specifying the time and information specifying the period (for example, the first period, the second period, etc.). Also, the search history information may have a lecture identifier and a lecturer identifier of the lecture of the searched term.

The receiving unit 12 receives various instructions, information, and the like. Various instructions and information are, for example, inquiry information described later and output instructions described later.

The inquiry information receiving unit 121 receives inquiry information from the terminal device 2 . Inquiry information is usually information of an inquiry to a term. The query information has a user identifier and one or more terms. One or more terms are terms used for information retrieval.

The output instruction receiving unit 122 receives an output instruction from the terminal device 2 . An output instruction is an instruction to output a processing result, which will be described later. The output instruction may include information specifying the processing result, or may not include information specifying the processing result. If the information specifying the processing result is not included, for example, all processing results are obtained.

The processing unit 13 performs various types of processing. The various types of processing are, for example, processing performed by the time information acquisition unit 131, the user classification unit 132, the search history information update unit 133, the identifier acquisition unit 134, and the processing result acquisition unit 135.

Further, the various processes are, for example, a process of searching the terminology dictionary storage unit 111 using a term contained in the query information received by the query information receiving unit 121 as a key, and acquiring explanatory information paired with the term. be.

Further, various kinds of processing are, for example, processing of performing a web search using a term included in the inquiry information received by the inquiry information receiving unit 121 as a key and acquiring a web page.

The time information acquisition unit 131 acquires time information regarding the time when the search was performed in response to the inquiry information reception unit 121 receiving the inquiry information. The time information acquisition unit 131 acquires time information indicating the current time from a clock (not shown). Note that the time information acquisition unit 131 may acquire the current time from a clock (not shown), and acquire time information indicating a period (for example, the second period) from the current time.

The user classification unit 132 classifies users into groups using one or more attribute values of two or more pieces of user information. Here, the classification process includes a process of acquiring search history information of users in the same group, a process of adding a group ID in association with a user identifier, a process of acquiring user information in the same group, and the like.

The user classification unit 132 classifies users into groups using attribute values that change over time. For each user, for example, the user classification unit 132 assigns a group (repetition group) of persons (repeaters) who have had the same grade attribute value for two years or more, year) group (non-repeating group).

The search history information updating unit 133 updates the search history information associated with the user identifier included in the received inquiry information using one or more terms included in the received inquiry information. The update of search history information may be addition of search history information. Updating the search history information means, for example, adding search history information to the search history information storage unit 115 .

The search history information updating unit 133 updates the search history information associated with the user identifier of the inquiry information using one or more terms of the inquiry information and the time information acquired by the time information acquisition unit 131. Update.

The identifier acquisition unit 134 uses one or more terms included in the inquiry information received by the inquiry information reception unit 121 or time information related to the time at which the information search is performed to associate the identifier with the inquiry information, and obtains two or more Acquire the lecture identifier or lecturer identifier from the lecture information. Note that two or more pieces of lecture information are stored in the lecture information storage unit 113 .

The identifier acquisition unit 134 may acquire from the lecture information storage unit 113 the lecture identifier corresponding to the time information regarding the time at which the information retrieval was performed. The identifier acquisition unit 134 pairs a lecture identifier that is paired with the user identifier received by the inquiry information reception unit 121, and pairs a lecture identifier corresponding to time information about the time at which information retrieval was performed with the user identifier. You can get it from course registration information.

The identifier acquisition unit 134 may acquire from the lecture information storage unit 113 a lecture identifier paired with one or more terms included in the inquiry information received by the inquiry information reception unit 121 . In addition, the identifier acquisition unit 134 acquires from the course information one or more lecture identifiers paired with the user identifier received by the inquiry information reception unit 121, and from the one or more lecture identifiers, the inquiry information reception unit 121 A lecture identifier paired with one or more terms included in the received inquiry information may be acquired using the lecture information in the lecture information storage unit 113 .

The processing result acquisition unit 135 performs predetermined statistical processing on the search history information in the search history information storage unit 115 and acquires the processing result.

The processing result acquisition unit 135 performs predetermined processing using the search history information in the search history information storage unit 115 and one or more attribute values in the user information storage unit 114, and acquires the processing result. The processing result acquisition unit 135 performs predetermined statistical processing on the search history information in the search history information storage unit 115 for each attribute value of the user, and acquires the processing result.

The processing result acquisition unit 135 performs predetermined processing on the search history information associated with the user identifiers of one or more users belonging to the group classified by the user classification unit 132, and performs processing corresponding to the group. You can get results.

The processing result acquisition unit 135 performs predetermined processing on the search history information for each lecture identifier or lecturer identifier, and acquires the processing result.

The processing result acquisition unit 135 acquires the processing result, which is the field identifier, using one or more terms included in the search history information.

The processing result acquisition unit 135 is one or more terms included in the inquiry information acquired during a predetermined period, and the processing result is one or more terms that are included as often as a predetermined condition is satisfied. to get

For example, the processing result acquisition unit 135 acquires one or more terms paired with one user identifier from the search history information storage unit 115, performs unique processing on the one or more terms, and forms a glossary. . In other words, the processing result acquisition unit 135 acquires the processing result, which is the terminology of a specific user.

Note that the above predetermined processing is usually statistical processing. The predetermined processing is, for example, statistical processing of search history information for each user attribute value.

The above predetermined process is, for example, a process of acquiring the number of searches for each attribute value of the user. In such a case, the processing result acquisition unit 135 acquires a processing result indicating how many times one or more users with which attribute values have searched. Such a processing result may be, for example, "Women in pharmacy departments use the search system an average of X times, and men in pharmacy departments use the search system Y times on average." It goes without saying that the attribute value may be a combination of two or more attribute values.

Also, the predetermined process is, for example, a process of acquiring the number of searches for each attribute value of the user and for each term. In such a case, the processing result acquisition unit 135 acquires a processing result indicating how many times one or more users with which attribute values have searched for which term. Such a processing result may be, for example, "students in the Faculty of Pharmacy have searched for term a X times and term b Y times," and the like.

Further, the predetermined process is, for example, a process of obtaining field identifiers corresponding to the terms and obtaining the frequency of use or rank of use of the terms for each field identifier. The results of such processing are, for example, "Term c has been searched Z times in field A", "In field B, the important terms that have been searched for more than the threshold are term d, term e, and term f", and the like. Thus, the lecturer can grasp the terms that should be carefully explained when giving a lecture in a certain field.

Also, the processing result acquired by the processing result acquiring unit 135 is, for example, a set of a lecture identifier, a term, and the number of searches. Also, the processing result acquired by the processing result acquiring unit 135 is, for example, a set of a lecturer identifier, a term, and the number of searches. As a result of such processing, for example, the lecturer in charge will make an effort to carefully explain terms that are frequently searched for in the future.

Also, the processing result acquired by the processing result acquisition unit 135 is, for example, a field identifier, which is information identifying a field to be taught with reinforcement. Based on the results of such processing, for example, the school affairs department can plan to hold special lectures in areas that should be strengthened and taught.

Further, the processing results acquired by the processing result acquiring unit 135 are, for example, terms that are often used for searches. Such processing results may, for example, create a glossary of terms that have been used more than a threshold number of times. And such a glossary becomes an effective glossary for students. Note that the glossary usually includes two or more terms. A glossary may be information that includes two or more sets of terms and descriptive information.

The output unit 14 outputs various information. Various types of information are, for example, explanatory information, processing results, and a glossary. In response to an output instruction containing a user identifier (for example, a student number), the output unit 14 transmits a glossary of terms paired with the user identifier to the terminal device 2 that has transmitted the output instruction.

Here, output usually means transmission to the terminal device 2 . However, output is a concept that includes display on a display, projection using a projector, printing on a printer, sound output, storage on a recording medium, delivery of processing results to other processing devices or other programs, etc. You can think that it is.

The explanation information transmitting unit 141 transmits the explanation information acquired by the processing unit 13 to the terminal device 2 .

The processing result output unit 142 outputs the processing result acquired by the processing result acquisition unit 135 . The processing result output unit 142 outputs, for example, the processing result corresponding to the group. The processing result output unit 142 outputs the processing result for each group, for example.

Various types of information are stored in the terminal storage unit 21 that constitutes the terminal device 2 . Various types of information are, for example, user identifiers that identify users.

The terminal reception unit 22 receives various instructions, information, and the like. Various instructions and information are, for example, one or more terms and output instructions.

Any means such as a touch panel, keyboard, mouse, or menu screen may be used as input means for various instructions and information. The terminal reception unit 22 can be realized by a device driver for input means such as a touch panel or a keyboard, control software for a menu screen, or the like.

The terminal processing unit 23 performs various types of processing. The various types of processing are, for example, processing for configuring information received by the terminal reception unit 25 into information to be displayed. The various types of processing are, for example, processing that configures information, instructions, and the like received by the terminal reception unit 22 into instructions for transmission.

The terminal transmission unit 24 transmits various instructions, information, and the like to the information processing device 1 . The various instructions and information are, for example, instructions configured by the terminal processing unit 23 and instructions and information received by the terminal reception unit 22 . Various instructions and information are, for example, inquiry information and output instructions.

The terminal reception unit 25 receives various information from the information processing device 1 . Various types of information are, for example, explanatory information and processing results.

The terminal output unit 26 acquires various kinds of information. The various types of information are, for example, information received by the terminal reception unit 22, information received by the terminal reception unit 25, and information configured by the terminal processing unit 23. FIG. Various types of information are, for example, explanatory information and processing results.

Here, output means display on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage on a recording medium, and transmission to another processing device or other program. This is a concept that includes delivery of processing results.

Storage unit 11, term dictionary storage unit 111, learning field dictionary storage unit 112, lecture information storage unit 113, user information storage unit 114, search history information storage unit 115, and terminal storage unit 21 are preferably non-volatile recording media. However, it can also be realized with a volatile recording medium.

It does not matter how the information is stored in the storage unit 11 or the like. For example, information may be stored in the storage unit 11 or the like via a recording medium, or information transmitted via a communication line or the like may be stored in the storage unit 11 or the like. Alternatively, information input via an input device may be stored in the storage unit 11 or the like.

The receiving unit 12, the inquiry information receiving unit 121, the output instruction receiving unit 122, and the terminal receiving unit 25 are usually implemented by wireless or wired communication means, but may be implemented by means of receiving broadcast.

The processing unit 13, the time information acquisition unit 131, the user classification unit 132, the search history information update unit 133, the identifier acquisition unit 134, the processing result acquisition unit 135, and the terminal processing unit 23 can usually be implemented by an MPU, memory, or the like. . The processing procedure of the processing unit 13 and the like is normally realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

The output unit 14, the explanatory information transmission unit 141, the processing result output unit 142, and the terminal transmission unit 24 are usually realized by wireless or wired communication means, but may be realized by broadcasting means.

The terminal output unit 26 may or may not include an output device such as a display or speaker. The terminal output unit 26 can be realized by output device driver software, or by output device driver software and an output device.

Next, the operation of the information system A will be explained. First, an operation example of the information processing apparatus 1 will be described with reference to the flowchart of FIG.

(Step S<b>301 ) The inquiry information receiving unit 121 determines whether inquiry information has been received from the terminal device 2 . If the inquiry information is received, the process goes to step S302, and if the inquiry information is not received, the process goes to step S310.

(Step S302) The processing unit 13 acquires terms used for searching from the inquiry information received in step S301.

(Step S303) The processing unit 13 searches the term dictionary storage unit 111 using the term acquired in step S302 as a key, and acquires explanatory information paired with the term.

(Step S<b>304 ) The explanation information transmission unit 141 transmits the explanation information acquired in step S<b>303 to the terminal device 2 .

(Step S305) The search history information updating unit 133 acquires a user identifier from the inquiry information received in step S301.

(Step S306) The time information acquisition unit 131 acquires time information, which is the current time, from a clock (not shown).

(Step S307) The identifier acquisition unit 134 performs lecture determination processing using the time information acquired in step S306. An example of the lecture determination process will be described with reference to the flowchart of FIG.

(Step S308) The search history information update unit 133 updates the term acquired in step S302, the user identifier acquired in step S305, the time information acquired in step S306, the lecture identifier accumulated in the buffer in step S307, One or more of the instructor identifiers are used to obtain search history information.

(Step S309) The search history information updating unit 133 accumulates the search history information acquired in step S308. Return to step S301. It should be noted that the storage of search history information may be, for example, storing a term or the like included in the search history information in association with a user identifier included in the search history information. The terms and the like included in the search history information are terms or one or more of terms and time information, lecture identifiers, and lecturer identifiers.

(Step S310) The receiving unit 12 determines whether or not a user identifier and a user attribute value have been received. If the user attribute value has been received, the process goes to step S311, and if the user attribute value has not been received, the process goes to step S312.

(Step S311) The processing unit 13 associates the user attribute value received in step S310 with the user identifier received in step S310, and accumulates it in the user information storage unit 114. FIG. Return to step S301.

(Step S312) The processing unit 13 determines whether to start statistical processing. If it is determined to start the statistical processing, the process goes to step S313, and if it is determined not to start the statistical process, the process goes to step S314. For example, when an instruction to start statistical processing is received from the terminal device 2, the processing unit 13 determines to start statistical processing when a predetermined time has come. In addition, the timing of starting the statistical processing does not matter.

(Step S<b>313 ) The processing result acquisition unit 135 performs statistical processing on the search history information in the search history information storage unit 115 . Return to step S301. An example of statistical processing will be described with reference to the flowchart of FIG.

(Step S314) The output instruction receiving unit 122 determines whether or not an output instruction has been received. When the output instruction is received, the process goes to step S315, and when the output instruction is not received from the terminal device 2, the process returns to step S301.

(Step S315) The processing result acquisition unit 135 acquires the processing result corresponding to the output instruction.

(Step S<b>316 ) The processing result output unit 142 transmits the processing result obtained in step S<b>315 to the terminal device 2 . Return to step S301.

Next, an example of the lecture determination process in step S307 will be described using the flowchart of FIG.

(Step S401) The identifier acquisition unit 134 acquires from the lecture information storage unit 113 a lecture identifier and a lecturer identifier paired with the lecture identifier. The identifier acquisition unit 134 acquires a lecture identifier and a lecturer identifier using one or more of the acquired time information or the received terms. The identifier acquisition unit 134 acquires, for example, a lecture identifier corresponding to the acquired time information and a lecturer identifier paired with the lecture identifier from the lecture information storage unit 113 . Here, if course registration information, which is information about a course taken corresponding to the received user identifier, exists in the lecture information storage unit 113, the time indicated by the acquired time information paired with the user identifier is included. Acquire the lecture identifier of the lecture to be taught and the lecturer identifier paired with the lecture identifier.

(Step S402) If the number of lecture identifiers acquired in step S401 is one, the identifier acquiring unit 134 proceeds to step S403.

(Step S403) The identifier acquisition unit 134 temporarily stores the lecture identifier and lecturer identifier acquired in step S401 in a buffer. Return to upper process.

(Step S404) If the number of lecture identifiers acquired in step S401 is 2, the identifier acquiring unit 134 proceeds to step S405, and if the number is 0, to step S406.

(Step S405) The identifier acquisition unit 134 searches the lecture identifiers narrowed down in step S401 using the term acquired in step S302 as a key, and searches the lecture information storage unit 113 for a lecture identifier corresponding to the term. .

(Step S406) The identifier acquisition unit 134 searches using the term acquired in step S302 as a key, and searches all lecture identifiers in the lecture information storage unit 113 for a lecture identifier corresponding to the term.

(Step S407) The identifier acquisition unit 134 determines whether or not the lecture identifier has been acquired in step S405 or step S406. If the lecture identifier has been acquired, the process goes to step S408, and if the lecture identifier has not been acquired, the process goes to step S408.

(Step S408) The identifier acquiring unit 134 associates the term acquired in step S302 with the user identifier and the time information and temporarily stores them in a buffer.

(Step S409) The identifier acquisition unit 134 temporarily stores the lecture identifier and lecturer identifier acquired in step S407 in a buffer.

(Step S410) The identifier acquisition unit 134 determines whether or not terms with the same time limit exist in the buffer. If there is a term with the same time limit, go to step S410, otherwise return to the higher-level processing. Note that the terms with the same time period are terms corresponding to the user identifier and terms corresponding to the time information of the time zone with the same time period.

(Step S411) The search history information updating unit 133 updates the term acquired in step S302, the user identifier acquired in step S305, the time information acquired in step S306, the lecture identifier accumulated in the buffer in step S407, One or more of the instructor identifiers are used to obtain search history information.

(Step S412) The search history information updating unit 133 accumulates the search history information acquired in step S411.

Next, an example of statistical processing in step S313 will be described using the flowchart of FIG.

(Step S501) The processing result acquisition unit 135 performs statistical processing for each user (for example, each student) on the search history information in the search history information storage unit 115. FIG. An example of user-specific statistical processing will be described with reference to the flowchart of FIG.

(Step S502) The processing result acquisition unit 135 collects statistics for each user group (for example, a group of students who have repeated a year and a group of students who have advanced to the next grade) for the search history information in the search history information storage unit 115. process. An example of group-by-group statistical processing will be described with reference to the flowchart of FIG.

(Step S<b>503 ) The processing result acquisition unit 135 performs statistical processing for each lecturer on the search history information in the search history information storage unit 115 . An example of statistical processing for each instructor will be described with reference to the flowchart of FIG.

(Step S<b>504 ) The processing result acquisition unit 135 performs statistical processing for each lecture on the search history information in the search history information storage unit 115 . An example of statistical processing for each lecture will be described with reference to the flowchart of FIG.

(Step S<b>505 ) The processing result acquisition unit 135 performs field-specific statistical processing on the search history information in the search history information storage unit 115 . Return to upper process. An example of field-specific statistical processing will be described with reference to the flowchart of FIG.

In addition, in the flowchart of FIG. 5, the statistical processing results are usually accumulated in the storage unit 11, but may be accumulated in an external device (not shown).

Next, an example of the user-specific statistical processing in step S501 will be described using the flowchart of FIG.

(Step S601) The processing result acquisition unit 135 substitutes 1 for the counter i.

(Step S602) The processing result acquisition unit 135 determines whether the i-th user identifier exists in the user information storage unit 114 or not. If the i-th user identifier exists, go to step S603, and if the i-th user identifier does not exist, return to the upper process.

(Step S603) The processing result acquisition unit 135 acquires all terms included in the search history information in the search history information storage unit 115 and paired with the i-th user identifier. Here, the processing result acquisition unit 135 may use search history information for a predetermined period (for example, one school year from April 1, 2017 to March 31, 2018).

(Step S604) The processing result acquisition unit 135 acquires the total number of searches for the user identified by the i-th user identifier. Note that the total number of searches is the number of times the user identified by the i-th user identifier searches the information processing apparatus 1, for example, the number of terms acquired in step S603.

(Step S605) The processing result acquisition unit 135 acquires the number of searches, which is the number for each term, using all the terms acquired in step S603. Note that the information acquired here is, for example, one or more pairs of a term and the number of times associated with the i-th user identifier.

(Step S606) The processing result acquisition unit 135 acquires the number of searches for each field identifier of the user identified by the i-th user identifier. Note that, for example, the processing result acquisition unit 135 acquires from the learning field dictionary storage unit 112 the field identifier paired with each term acquired in step S603, and calculates the number (the number of appearances) for each field identifier. Get the number of searches for each field identifier. The information acquired here is, for example, one or more pairs of field identifier and number of times associated with the i-th user identifier.

(Step S607) The processing result acquisition unit 135 acquires the number of searches for each lecture of the user identified by the i-th user identifier. Note that the processing result acquisition unit 135 acquires, for example, all lecture identifiers included in the search history information paired with the i-th user identifier, and acquires the number of appearances for each lecture identifier. The number of appearances is the number of searches for each lecture. The information acquired here is, for example, one or more pairs of lecture identifier and number of lectures associated with the i-th user identifier.

(Step S608) The processing result acquisition unit 135 acquires the number of searches for each lecturer of the user identified by the i-th user identifier. Note that the processing result acquisition unit 135 acquires, for example, all lecturer identifiers included in the search history information paired with the i-th user identifier, and acquires the number of appearances for each lecturer identifier. The number of appearances is the number of searches for each lecturer. Note that the information acquired here is, for example, one or more sets of a lecturer identifier and the number of times associated with the i-th user identifier.

(Step S609) The processing result acquisition unit 135 increments the counter i by 1. Return to step S602.

Next, an example of group-by-group statistical processing in step S502 will be described with reference to the flowchart of FIG.

(Step S701) The processing result acquisition unit 135 substitutes 1 for the counter i.

(Step S702) The processing result acquisition unit 135 determines whether or not the i-th group exists. If the i-th group exists, go to step S703, and if the i-th group does not exist, return to the upper process. It is assumed that how many groups exist and the conditions for each group are stored in the storage unit 11 in advance.

(Step S703) The processing result acquisition unit 135 substitutes 1 for the counter j.

(Step S704) The processing result acquisition unit 135 determines whether the i-th user identifier exists in the user information storage unit 114 or not. If the i-th user identifier exists, go to step S705, and if the i-th user identifier does not exist, go to step S708.

(Step S705) The processing result acquisition unit 135 acquires one or more attribute values of the user paired with the i-th user identifier, and determines whether or not the one or more attribute values match the conditions of the i-th group. determine whether If they match, go to step S706, otherwise go to step S707.

(Step S706) The processing result acquisition unit 135 acquires all terms in the search history information paired with the i-th user identifier. Here, the processing result acquisition unit 135 may acquire all search history information paired with the i-th user identifier.

(Step S707) The processing result acquisition unit 135 increments the counter j by 1. Return to step S704.

(Step S708) The processing result acquisition unit 135 acquires the total number of searches for users belonging to the i-th group. Note that the total number of searches is, for example, the number of terms acquired in step S706. Also, the information acquired here is, for example, information on the number of searches associated with information (for example, group identifier) specifying the i-th group.

(Step S709) Using all the terms acquired in step S706, the processing result acquisition unit 135 acquires the number of searches, which is the number for each term. The information acquired here is, for example, one or more sets of a term and the number of times associated with the information specifying the i-th group.

(Step S710) The processing result acquisition unit 135 acquires the number of searches for each field identifier of users belonging to the i-th group. Note that the processing result acquisition unit 135, for example, acquires from the learning field dictionary storage unit 112 field identifiers paired with the terms obtained in step S706, and calculates the number (number of occurrences) of each field identifier, Get the number of searches for each field identifier. Note that the information acquired here is, for example, one or more pairs of field identifier and number of times associated with the information specifying the i-th group.

(Step S711) The processing result acquisition unit 135 acquires the number of searches for each lecture of users belonging to the i-th group. Note that the processing result acquisition unit 135 acquires, for example, all lecture identifiers included in the search history information paired with the user identifier of the user belonging to the i-th group, and acquires the number of appearances for each lecture identifier. The number of appearances is the number of searches for each lecture. Note that the information acquired here is, for example, one or more sets of lecture identifier and number of lectures associated with the information specifying the i-th group.

(Step S712) The processing result acquisition unit 135 acquires the number of searches for each lecturer by users belonging to the i-th group. Note that the processing result acquisition unit 135 acquires, for example, all lecturer identifiers included in the search history information paired with the user identifier of the user belonging to the i-th group, and acquires the number of appearances for each lecturer identifier. The number of appearances is the number of searches for each lecturer. Note that the information acquired here is, for example, one or more sets of a lecturer identifier and the number of times, which are associated with the information specifying the i-th group.

(Step S713) The processing result acquisition unit 135 increments the counter i by 1. Return to step S702.

Next, an example of statistical processing for each instructor in step S503 will be described using the flowchart of FIG.

(Step S801) The processing result acquisition unit 135 substitutes 1 for the counter i.

(Step S802) The processing result acquisition unit 135 determines whether or not the i-th lecturer identifier exists in the lecture information storage unit 113, for example. If the i-th instructor identifier exists, go to step S803, and if the i-th instructor identifier does not exist, return to the upper process.

(Step S803) The processing result acquisition unit 135 acquires all terms included in the search history information in the search history information storage unit 115 and paired with the i-th lecturer identifier. Note that the processing result acquisition unit 135 may acquire all search history information paired with the i-th lecturer identifier.

(Step S804) The processing result acquisition unit 135 acquires the total number of searches corresponding to the i-th lecturer identifier. Note that the total number of searches is the number of searches made in the lecture of the lecturer identified by the i-th lecturer identifier, for example, the number of terms acquired in step S803. Also, the information acquired here is, for example, information on the number of searches associated with the i-th instructor identifier.

(Step S805) The processing result acquisition unit 135 acquires the number of searches, which is the number for each term, using all the terms acquired in step S803. The information acquired here is, for example, one or more pairs of terms and times associated with the i-th instructor identifier.

(Step S806) The processing result acquisition unit 135 acquires the number of searches for each field identifier of the instructor identified by the i-th instructor identifier. Note that the processing result acquisition unit 135, for example, acquires from the learning field dictionary storage unit 112 the field identifier paired with each term acquired in step S803, and calculates the number (number of occurrences) for each field identifier, Get the number of searches for each field identifier. Note that the information acquired here is, for example, one or more sets of field identifier and number of times associated with the i-th lecturer identifier.

(Step S807) The processing result acquisition unit 135 acquires the number of searches for each lecture of the lecturer identified by the i-th lecturer identifier. Note that the processing result acquisition unit 135 acquires, for example, all lecture identifiers included in the search history information paired with the i-th lecturer identifier, and acquires the number of appearances for each lecture identifier. The number of appearances is the number of searches for each lecture. Note that the information acquired here is, for example, one or more pairs of lecture identifier and number of lectures associated with the i-th lecturer identifier.

(Step S808) The processing result acquisition unit 135 increments the counter i by 1. Return to step S802.

Next, an example of statistical processing by lecture in step S504 will be described using the flowchart of FIG.

(Step S901) The processing result acquisition unit 135 substitutes 1 for the counter i.

(Step S902) The processing result acquisition unit 135 determines whether or not the i-th lecture identifier exists in the lecture information storage unit 113, for example. If the i-th lecture identifier exists, go to step S903, and if the i-th lecture identifier does not exist, return to the upper process.

(Step S903) The processing result acquisition unit 135 acquires all terms included in the search history information in the search history information storage unit 115 and paired with the i-th lecture identifier. Here, the processing result acquisition unit 135 may acquire all search history information paired with the i-th lecture identifier.

(Step S904) The processing result acquisition unit 135 acquires the total number of searches corresponding to the i-th lecture identifier. Note that the total number of searches is the number of searches made in the lecture of the lecturer identified by the i-th lecture identifier, for example, the number of terms acquired in step S903. The information acquired here is, for example, information on the number of searches associated with the i-th lecture identifier.

(Step S905) The processing result acquisition unit 135 acquires the number of searches, which is the number for each term, using all the terms acquired in step S903. Note that the information acquired here is, for example, one or more pairs of information of a term and the number of times. The information acquired here is, for example, one or more sets of terms and times associated with the i-th lecture identifier.

(Step S906) The processing result acquisition unit 135 acquires the number of searches for each field identifier of the lecture identified by the i-th lecture identifier. Note that the processing result acquisition unit 135, for example, acquires from the learning field dictionary storage unit 112 the field identifier paired with each term acquired in step S903, and calculates the number (the number of appearances) for each field identifier. Get the number of searches for each field identifier. The information acquired here is, for example, one or more pairs of field identifier and number of times associated with the i-th lecture identifier.

(Step S907) The processing result acquisition unit 135 increments the counter i by 1. Return to step S902.

Next, an example of field-specific statistical processing in step S505 will be described with reference to the flowchart of FIG.

(Step S1001) The processing result acquisition unit 135 substitutes 1 for the counter i.

(Step S1002) The processing result acquisition unit 135 determines whether or not the i-th field identifier exists in the learning field dictionary storage unit 112, for example. If the i-th field identifier exists, go to step S1003, and if the i-th field identifier does not exist, return to the upper process.

(Step S1003) The processing result acquisition unit 135 acquires all terms included in the search history information in the search history information storage unit 115 and paired with the i-th field identifier. Here, the processing result acquisition unit 135 may acquire all search history information paired with the i-th field identifier.

(Step S1004) The processing result acquisition unit 135 acquires the total number of searches corresponding to the i-th field identifier. The total number of searches is the number of searches in the lecture of the field identified by the i-th field identifier, for example, the number of terms acquired in step S1003. The information acquired here is, for example, information on the number of searches associated with the i-th field identifier.

(Step S1005) The processing result acquisition unit 135 acquires the number of searches, which is the number for each term, using all the terms acquired in step S1003. The information acquired here is, for example, one or more pairs of terms and times associated with the i-th field identifier.

(Step S1006) The processing result acquisition unit 135 acquires the number of searches for each lecture identifier in the field identified by the i-th field identifier. Note that the processing result acquisition unit 135, for example, acquires the lecture identifier paired with each term acquired in step S1003, and calculates the number (number of occurrences) for each lecture identifier, thereby obtaining the number of searches for each lecture identifier. get. The information acquired here is, for example, one or more pairs of lecture identifier and number of lectures associated with the i-th field identifier.

(Step S1007) The processing result acquisition unit 135 increments the counter i by 1. Return to step S1002.

Next, an operation example of the terminal device 2 will be described using the flowchart of FIG.

(Step S1101) The terminal reception unit 22 determines whether or not a term has been received from the user. If the term is accepted, the process goes to step S1102, and if the term is not accepted, the process goes to step S1106.

(Step S<b>1102 ) Terminal processing unit 23 composes inquiry information having the term accepted in step S<b>1101 and the user identifier of terminal storage unit 21 .

(Step S1103) The terminal transmission unit 24 transmits the inquiry information configured in step S1102 to the information processing device 1. FIG.

(Step S1104) The terminal reception unit 25 determines whether or not the explanation information has been received. If the explanation information has been received, the process goes to step S1105, and if the explanation information has not been received, the process returns to step S1104.

(Step S1105) The terminal processing unit 23 forms explanation information to be output using the explanation information received in step S1104. The terminal output unit 26 outputs the explanation information. Return to step S1101.

(Step S1106) The terminal reception unit 22 determines whether or not one or more attribute values have been received from the user. If the attribute value is accepted, the process goes to step S1107, and if the attribute value is not accepted, the process goes to step S1108.

(Step S1107) The terminal processing unit 23 uses one or more attribute values accepted in step S1106 to compose an attribute value to be transmitted. The terminal transmission unit 24 transmits the configured attribute value to the information processing device 1 . Return to step S1101.

(Step S1108) The terminal reception unit 22 determines whether or not an output instruction has been received from the user. If the output instruction is accepted, the process goes to step S1109, and if the output instruction is not accepted, the process returns to step S1101.

(Step S1109) The terminal processing unit 23 composes an output instruction to be transmitted using the output instruction accepted in step S1108. The terminal transmission unit 24 transmits the output instruction to the information processing device 1 .

(Step S1110) The terminal reception unit 25 determines whether or not the processing result has been received. If the process result has been received, the process goes to step S1111, and if the process result has not been received, the process returns to step S1110.

(Step S1111) The terminal processing unit 23 uses the processing result received in step S1110 to compose the processing result to be output. The terminal output unit 26 outputs the processing result. Return to step S1101.

Note that in the flowchart of FIG. 11, the process ends when the power is turned off or an interrupt for ending the process occurs.

A specific operation of the information system A in this embodiment will be described below. A conceptual diagram of the information system A is shown in FIG.

Currently, the term dictionary storage unit 111 stores the term dictionary shown in FIG. The term dictionary stores a large number of records having "ID" and "term information". "ID" is information for identifying a record. The meaning of "ID" is the same in other tables. "Term information" has "term" and "description information".

The learning field dictionary storage unit 112 stores the learning field dictionary shown in FIG. The learning field dictionary stores a large number of records having "ID" and "field information". The 'field information' has a 'field identifier' and a 'term group'. A "term group" is one or more terms used in the domain identified by the domain identifier.

The lecture information storage unit 113 also stores a lecture information management table shown in FIG. The lecture information management table stores many records having "ID" and "lecture information". The 'lecture information' has 'lecture identifier', 'lecturer identifier', 'lecture name', 'period information', 'time zone information' and 'term group'. The "lecture identifier" is an ID that identifies the lecture, the "lecturer identifier" is the name of the lecturer who conducts the lecture, the "lecture name" is the name of the lecture, and the "time period information" is information on the time period during which the lecture is held. The "time period information" is information indicating the time period in which the lecture is held, and the "term group" is one or more terms used or explained in the lecture.

Also, the user information management table shown in FIG. 15 is stored in the user information storage unit 114 . The user information management table stores many records having "ID" and "user information". "User information" includes "student number", "name", "current grade", "faculty to belong", "department to belong", "2017 academic year", "2018 academic year", and "alma mater". "Student number" is a user identifier. "Name" is the student's name, "Current grade" is the student's current academic year, "Faculty" is the student's affiliated department, "Department" is the student's affiliated department, and "2017 academic year" is the student's academic year of 2017. The school year, "2018 school year" is the student's school year in 2018, and "alma mater" is the student's high school. If the "2017 school year" and the "2018 school year" are the same, it indicates that the student has repeated a year.

Further, the storage unit 11 stores a course registration table for each student shown in FIG. Course registration information is stored in the course registration table. The course registration table is a table for managing lectures for which students have registered. The course registration table manages a large number of records having "ID", "student number", and "lecture identifier".

Further, the search history information storage unit 115 stores a search history information management table having the structure shown in FIG. The search history information management table can store a large number of records having "ID" and "search history information". The 'search history information' has 'terms', 'user identifiers', 'lecture identifiers', 'lecturer identifiers', and 'time information'. "term" is the searched term, "user identifier" is the student number of the user who searched, "lecture identifier" is the ID of the lecture corresponding to the search, "lecturer identifier" is the lecturer of the lecture identified by the lecture identifier, " This is the time when the "time information" was retrieved.

In this situation, the student "Ueda Coko" did not understand the meaning of the term "BBB" that appeared in the lecture "L001" given by the lecturer "Tanaka Ao" on May 7, so she used her terminal device. 2 (in this case, a smart phone), "BBB" is input, and the search button (1801 in FIG. 18) is instructed.

Then, the terminal accepting unit 22 of the terminal device 2 accepts the term "BBB". Next, the terminal processing unit 23 constructs inquiry information “S001, BBB” having the term “BBB” and the user identifier “S001” in the terminal storage unit 21 . Then, the terminal transmission unit 24 transmits the configured inquiry information to the information processing device 1 .

Next, the inquiry information receiving unit 121 of the information processing device 1 receives inquiry information “S001, BBB” from the terminal device 2 .

Next, the processing unit 13 acquires the term "BBB" used for searching from the received inquiry information. Next, the processing unit 13 searches the term dictionary (FIG. 12) using the acquired term “BBB” as a key, and finds the explanatory information “drugs in the blood” paired with the term. ..." is acquired. Next, the explanatory information transmission unit 141 transmits the acquired explanatory information to the terminal device 2 of the student "c-ko Ueda".

Next, the terminal receiver 25 of the terminal device 2 receives the explanation information. Then, the terminal processing unit 23 uses the received explanation information to compose the explanation information to be output. Next, the terminal output unit 26 displays the explanation information "from the drug in the blood..." on the screen.

Next, the search history information updating unit 133 of the information processing device 1 acquires the user identifier "S001" from the received inquiry information.

Next, the time information acquisition unit 131 acquires time information “2018/5/7 10:15” from a clock (not shown).

Next, the identifier acquisition unit 134 uses the acquired time information “2018/5/7 10:15” to obtain the lecture identifier paired with the user identifier “S001” and the time information “2018/5/7 10:15”. 10:15” (the day of the week is Monday and it is the first period). Next, the identifier acquisition unit 134 acquires the lecturer identifier “Ao Tanaka” paired with the lecture identifier “L001” from the lecture information management table of FIG.

Next, the search history information update unit 133 updates the acquired term “BBB”, user identifier “S001”, lecture identifier “L001”, lecturer identifier “Tanaka Ao”, time information “2018/5/7 10:15”. ” is used to configure the search history information. Next, the search history information update unit 133 adds the search history information obtained by the lecturer to the search history information management table. Such updated search history information management table is shown in FIG. Also, the record added is the record of "ID=2811". Note that the ID is automatically incremented when a record is added to the table.

Next, for example, it is assumed that the first semester lecture of 2018 is over and the processing unit 13 determines to start statistical processing.

Then, the processing result acquisition unit 135 performs the statistical processing described using the flowcharts of FIGS. 5 to 10 on the search history information management table (see FIG. 19). Then, the processing result acquisition unit 135 accumulates various statistical processing results in the storage unit 11 . By the processing of the processing result acquisition unit 135, statistical processing results of searched terms are accumulated for each user, each user group, each lecturer, each lecture, and each field.

Next, it is assumed that the user (administrator) on the university side inputs an output instruction to the terminal device 2 . Then, the terminal reception unit 22 receives an output instruction from the user. Next, the terminal processing unit 23 composes an output instruction to be transmitted using the accepted output instruction. Then, the terminal transmission unit 24 transmits the output instruction to the information processing device 1 .

Next, the output instruction receiving unit 122 of the information processing device 1 receives the output instruction. Next, the processing result acquisition unit 135 acquires the processing result corresponding to the received output instruction. Next, the processing result output unit 142 reads the processing result of the storage unit 11 and transmits it to the terminal device 2 .

Next, the terminal receiver 25 of the terminal device 2 receives the processing result. Then, the terminal processing unit 23 uses the received processing results to compose a processing result to be output. Next, the terminal output unit 26 outputs the processing result.

As described above, an administrator or the like on the university side can obtain statistical processing results of searched terms by user, by user group, by lecturer, by lecture, and by field.

By looking at the results of statistical processing for each user, administrators, etc. can identify the enthusiasm for learning of each student, terms that each student does not understand, fields that each student does not understand, lectures that each student finds difficult to understand, Each student can get to know the lecturer who is difficult to understand, and it is possible to give advice etc. for improving the learning efficiency of the student.

In addition, by looking at the statistical processing results for each user group, administrators, etc. can determine the reasons why students in a certain group (for example, a group of students who are repeating a year) are classified into the group, and whether students in each group It is possible to know the terms that students do not understand, the fields that students in each group do not understand, the lectures that students in each group do not understand, and the lecturers that students in each group do not understand, etc., and the learning efficiency of a group of students. Advice for improvement, improvement of future educational methods, etc. are possible.

In addition, the administrator or the like can grasp the problems and the like related to the lectures of each lecturer by viewing the statistical processing results for each lecturer.

In addition, the administrator or the like can grasp the problems and the like related to each lecture by viewing the statistical processing results for each lecture.

Furthermore, the administrator can grasp the problems of the educational method related to each field by looking at the results of statistical processing for each field.

As described above, according to the present embodiment, the user's attribute value can be used to process terms used for searching.

Further, according to the present embodiment, processing for terms used for retrieval can be performed using information on the time of retrieval.

Further, according to the present embodiment, processing for terms used for searching can be performed for each user group.

In addition, according to the present embodiment, users can be appropriately grouped, and processing for terms used for retrieval can be performed for each user group.

Further, according to the present embodiment, the terms used for searching can be processed for each lecture or each lecturer.

In addition, according to the present embodiment, it is possible to easily grasp the field of the term searched by the user.

Furthermore, according to the present embodiment, frequently searched terms can be easily grasped.

Due to the above effects, for example, when the information processing apparatus 1 is used in a school, useful information can be obtained for the university side such as students and lecturers, and it is highly effective in promoting and improving learning.

Note that the processing in this embodiment may be realized by software. Then, this software may be distributed by software download or the like. Also, this software may be recorded on a recording medium such as a CD-ROM and distributed. Note that this also applies to other embodiments in this specification. The software that implements the information processing apparatus 1 according to the present embodiment is the following program. In other words, this program includes, for example, a user information storage unit in which one or more pieces of user information having a user identifier for identifying a user and one or more attribute values of the user are stored; receiving query information having a user identifier and one or more terms used for information retrieval, a computer having access to a search history information storage unit storing search history information, which is information about terms used; a query information receiving unit that uses one or more terms of the query information to update search history information associated with the user identifier of the query information; A processing result acquisition unit that performs a predetermined process using the search history information in the search history information storage unit and one or more attribute values in the user information storage unit and acquires a processing result, and outputs the processing result. This is a program for functioning as a processing result output unit for processing.

Also, FIG. 20 shows the appearance of a computer that executes the programs described in this specification and realizes the information processing apparatus 1 and the like of the various embodiments described above. The embodiments described above may be implemented in computer hardware and computer programs running thereon. FIG. 20 is an overview diagram of this computer system 300, and FIG. 21 is a block diagram of the system 300. As shown in FIG.

In FIG. 20, computer system 300 includes computer 301 including a CD-ROM drive, keyboard 302 , mouse 303 and monitor 304 .

21, a computer 301 includes a CD-ROM drive 3012, an MPU 3013, a bus 3014 connected to the CD-ROM drive 3012, a ROM 3015 for storing programs such as a boot-up program, It includes a RAM 3016 connected and for temporarily storing application program instructions and providing temporary storage space, and a hard disk 3017 for storing application programs, system programs and data. Although not shown here, computer 301 may also include a network card that provides connection to a LAN.

A program that causes the computer system 300 to execute the functions of the information processing apparatus 1 of the embodiment described above may be stored in the CD-ROM 3101, inserted into the CD-ROM drive 3012, and further transferred to the hard disk 3017. . Alternatively, the program may be transmitted to computer 301 via a network (not shown) and stored in hard disk 3017 . Programs are loaded into RAM 3016 during execution. The program may be loaded directly from CD-ROM 3101 or network.

The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 301 to execute the functions of the information processing apparatus 1 of the embodiment described above. A program need only contain those parts of instructions that call the appropriate functions (modules) in a controlled manner to produce the desired result. How the computer system 300 operates is well known and will not be described in detail.

In the above program, the step of transmitting information, the step of receiving information, etc. are performed by hardware. processing) are not included.

Also, the number of computers that execute the above programs may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

Further, in each of the above embodiments, it goes without saying that two or more communication means existing in one device may be physically realized by one medium.

Further, in each of the above embodiments, each process may be implemented by centralized processing by a single device, or may be implemented by distributed processing by a plurality of devices. That is, the information processing device 1 may operate standalone. When the information processing apparatus 1 operates standalone, the reception unit 12 receives instructions, information, and the like from the user and the like. In addition, the output unit 14 displays information and the like, outputs sound, and transmits the information to a display device.

It goes without saying that the present invention is not limited to the above-described embodiments, and that various modifications are possible and are also included within the scope of the present invention.

INDUSTRIAL APPLICABILITY As described above, the information processing apparatus according to the present invention has the effect of being able to process terms used for searching using user attribute values. etc.

1 information processing device 2 terminal device 11 storage unit 12 reception unit 12 reception unit 13 processing unit 14 output unit 21 terminal storage unit 22 terminal reception unit 23 terminal processing unit 24 terminal transmission unit 25 terminal reception unit 26 terminal output unit 111 term dictionary storage Unit 112 Study field dictionary storage unit 113 Lecture information storage unit 114 User information storage unit 115 Search history information storage unit 121 Inquiry information reception unit 122 Output instruction reception unit 131 Time information acquisition unit 132 User classification unit 133 Search history information update unit 134 Identifier acquisition unit 135 Processing result acquisition unit 141 Description information transmission unit 142 Processing result output unit

Claims (8)

a user information storage unit storing one or more pieces of user information having a user identifier for identifying a user and one or more attribute values of the user;
a search history information storage unit that stores search history information, which is information about terms used in information searches, in association with user identifiers;
a query information receiving unit that receives query information having a user identifier and one or more terms used for information retrieval;
a search history information updating unit that updates search history information associated with a user identifier of the inquiry information using one or more terms of the inquiry information;
a processing result acquisition unit that performs a predetermined process using the search history information in the search history information storage unit and one or more attribute values in the user information storage unit, and acquires a processing result;
A processing result output unit that outputs the processing result,
a lecture information storage unit storing two or more pieces of lecture information having a lecture identifier that identifies a lecture or a lecturer identifier that identifies a lecturer and one or more terms or time zone information that indicates the time zone of the lecture;
Using one or more terms included in the inquiry information received by the inquiry information receiving unit or time information related to the time when the information search was performed, in association with the inquiry information, from the two or more lecture information further comprising an identifier acquisition unit that acquires a lecture identifier or a lecturer identifier,
The processing result acquisition unit is
An information processing device that performs predetermined processing on search history information for each lecture identifier or lecturer identifier, and obtains a processing result. The search history information has time information about the time when the information search was performed,
Further comprising a time information acquisition unit that acquires time information related to the time at which the information search was performed in response to the inquiry information receiving unit receiving the inquiry information,
The search history information update unit
2. The search history information associated with the user identifier of the inquiry information is updated using one or more terms of the inquiry information and the time information acquired by the time information acquiring unit. information processing equipment. Two or more pieces of user information are stored in the user information storage unit,
a user classification unit that classifies users into groups using one or more attribute values possessed by each of the two or more pieces of user information;
The processing result acquisition unit is
performing predetermined processing on search history information associated with user identifiers of one or more users belonging to the group classified by the user classification unit, and obtaining a processing result corresponding to the group;
The processing result output unit is
2. The information processing apparatus according to claim 1, which outputs a processing result corresponding to said group. The user information has attribute values that change over time,
The user classification unit
4. The information processing apparatus according to claim 3, wherein the attribute values that change with time are used to classify users into groups . further comprising a learning field dictionary storage unit that stores a learning field dictionary in which field identifiers that identify learning fields and term groups that are one or more terms are associated with each other;
The processing result acquisition unit is
5. The information processing apparatus according to any one of claims 1 to 4, wherein a processing result, which is a field identifier, is acquired using one or more terms included in the search history information. further comprising a learning field dictionary storage unit that stores a learning field dictionary in which field identifiers that identify learning fields and term groups that are one or more terms are associated with each other;
The processing result acquisition unit is
Acquisition of a processing result of one or more terms included in inquiry information acquired in a predetermined period, and one or more terms that are included as often as a predetermined condition is satisfied. The information processing device according to claim 4 . A user information storage unit that stores one or more pieces of user information having a user identifier that identifies a user and one or more attribute values of the user; Two or more lectures having a search history information storage unit storing search history information, a lecture identifier identifying the lecture or a lecturer identifier identifying the lecturer, and one or more terms or time zone information indicating the time zone of the lecture An information processing method implemented by a lecture information storage unit for storing information, an inquiry information reception unit, a search history information update unit, a processing result acquisition unit, a processing result output unit, and an identifier acquisition unit. hand,
a query information receiving step in which the query information receiving unit receives query information having a user identifier and one or more terms used for information retrieval;
a search history information updating step in which the search history information updating unit updates search history information associated with a user identifier of the inquiry information using one or more terms of the inquiry information;
The processing result acquisition unit performs predetermined processing using the search history information in the search history information storage unit and one or more attribute values in the user information storage unit, and acquires a processing result. a step;
The processing result output unit comprises a processing result output step of outputting the processing result,
The identifier acquisition unit uses one or more terms included in the inquiry information received in the inquiry information receiving step or time information related to the time at which the information search is performed, and associates it with the inquiry information, further comprising an identifier acquisition step of acquiring a lecture identifier or a lecturer identifier from the two or more lecture information;
In the processing result acquisition step,
An information processing method for performing predetermined processing on search history information for each lecture identifier or lecturer identifier, and acquiring a processing result. A user information storage unit that stores one or more pieces of user information having a user identifier that identifies a user and one or more attribute values of the user; Two or more lectures having a search history information storage unit storing search history information, a lecture identifier identifying the lecture or a lecturer identifier identifying the lecturer, and one or more terms or time zone information indicating the time zone of the lecture a computer accessible to a lecture information store in which information is stored;
a query information receiving unit that receives query information having a user identifier and one or more terms used for information retrieval;
a search history information updating unit that updates search history information associated with a user identifier of the inquiry information using one or more terms of the inquiry information;
a processing result acquisition unit that performs a predetermined process using the search history information in the search history information storage unit and one or more attribute values in the user information storage unit, and acquires a processing result;
A program for functioning as a processing result output unit that outputs the processing result,
said computer,
Using one or more terms included in the inquiry information received by the inquiry information receiving unit or time information related to the time at which the information search was performed, in association with the inquiry information, from the two or more lecture information further functions as an identifier acquisition unit that acquires a lecture identifier or a lecturer identifier,
The processing result acquisition unit is
A program that causes the computer to perform predetermined processing on search history information for each of the lecture identifiers or lecturer identifiers and to acquire processing results.

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