WO2006064566A1

WO2006064566A1 - Information selector

Info

Publication number: WO2006064566A1
Application number: PCT/JP2004/018843
Authority: WO
Inventors: Takuya Fukagai
Original assignee: Fujitsu Limited
Priority date: 2004-12-16
Filing date: 2004-12-16
Publication date: 2006-06-22

Abstract

A search history storage section stores the dictionary search history representing the history of search of an electronic dictionary by each user. Information storage section stores information related to the data on the electronic dictionary and to be provided to the user. A selecting section selects information to be provided to the user, i.e., the information requester from the information stored in the information storage section by using the dictionary search history stored in the search history storage section.

Description

Specification

Information selection device

Technical field

The present invention relates to an apparatus for selecting information suitable for a user from a database in a system or the like that supports the learning of the word 'idiom using a database.

Background art

[0002] Conventional word learning books and software determine the priority of words to be remembered by users based on the frequency of occurrence of the word 'idioms' used in newspapers, books, entrance exams, etc. ing.

However, in general, there are biases in the words and idioms used depending on the environment in which the user is placed. The general usage frequency is not so high, but there is also a word 'jukugo' that is frequently used in some fields. Thus, if there is a bias in the field of words and idioms that the user wants to learn, the ranking method as described above is not appropriate.

In some cases, the author of a word learning book or software classifies the word 'idioms by field, but the classification is based on the subjectivity of the author. In addition, there is a problem that the field that the user wants to specify does not exist or the area of the specified field cannot be adjusted.

[0004] On the other hand, dictionary search software having a function of storing a usage history of an electronic dictionary is also known. This software has a function to display a list of user dictionary search histories. In addition, language learning systems using communication networks are also known (see, for example, Patent Documents 1, 2, and 3).

Patent Document 1: Japanese Patent Application Publication JP 2003-005624 A

Patent Document 2: Japanese Patent Application Publication JP 2002-014608

Patent Document 3: Japanese Patent Application Publication JP 2002-023615

Disclosure of the invention

[0005] An object of the present invention is to provide an information selection device that realizes learning support that reflects the bias of a word that a user wants to learn. FIG. 1 is a principle diagram of a first information selection device of the present invention. 1 includes a search history storage unit 101, an information storage unit 102, and a selection processing unit 103. The search history storage unit 101 stores, for each user, a dictionary search history that represents a history of the user searching the electronic dictionary. The information storage unit 102 stores information provided to the user associated with the data in the electronic dictionary. The selection processing unit 103 uses the dictionary search history stored in the search history storage unit 101 to select information to be provided to the information requesting user from the information stored in the information storage unit 102. .

[0006] According to such an information selection device, it is possible to select information according to the dictionary search history of the user, and thus it is possible to reflect in the information the bias of the word 'idiom that the user wants to learn' Become.

[0007] For example, the selection processing unit 103 selects, from the information storage unit 102, voice data, text data, or image data associated with an example sentence that includes a search term included in the dictionary search history of the requesting user. To the user. Alternatively, the dictionary search history of another user may be used instead of the dictionary search history of the requesting user.

The second information selection device of the present invention includes a search history storage unit 101 and a selection processing unit 103. In this case, the information storage unit 102 may be provided either inside or outside the information selection device. The selection processing unit 103 refers to the search history storage unit 103 and generates range designation information for selecting information to be provided to the information requesting user.

[0009] According to such an information selection device, by selecting information from the information storage unit 102 based on the generated range designation information, the dictionary search history is reflected as in the first information selection device. Information can be provided to the user.

[0010] The search history storage unit 101 and the information storage unit 102 correspond to, for example, a search history database 205 and an information database 206 in FIG. The selection processing unit 103 corresponds to, for example, the data selection processing unit 203 in FIG. 2 or the data selection processing unit 2213 in FIG.

Brief Description of Drawings

FIG. 1 is a principle diagram of an information selection device of the present invention. Sono 2] The first word 'a idiom learning support system configuration diagram.

3] Words · A idiom table.

4 is a diagram showing a search history table.

FIG. 5 is a diagram showing an example sentence table.

FIG. 6 is a diagram showing an audio table.

FIG. 7 shows a text table.

FIG. 8 shows an image table.

Sono 9] Second word · Idiomatic learning support system configuration diagram.

10] It is a diagram showing the classification of users and words · idioms.

FIG. 11 shows a group table.

FIG. 12 shows a group search history table.

Sono 13] Third word * This is a block diagram of the idiom learning support system.

14] This is a diagram showing a system configuration when the server dependency is high.

FIG. 15 is a flowchart of first information selection processing.

FIG. 16 is a flowchart of second information selection processing.

FIG. 17] is a diagram showing a system configuration when a dictionary server common to a plurality of users is used.

FIG. 18 is a diagram showing transfer of dictionary search history.

FIG. 19 is a diagram showing a system configuration when server dependency is low.

FIG. 20 is a flowchart of third information selection processing.

FIG. 21 is a flowchart of fourth information selection processing.

FIG. 22] A diagram showing another system configuration when the server dependency is low.

FIG. 23 is a flowchart of fifth information selection processing.

FIG. 24 is a flowchart of sixth information selection processing.

FIG. 25] A diagram showing a system configuration when collecting dictionary search histories on a plurality of user terminals.

Sono 26] English words · It is a block diagram of an English idiom learning support system.

[Sen27] It is a block diagram of an information processing apparatus. FIG. 28 is a diagram showing a program and data providing method.

BEST MODE FOR CARRYING OUT THE INVENTION

Hereinafter, the best mode for carrying out the present invention will be described in detail with reference to the drawings.

The information providing support system according to the present embodiment is based on words searched by a plurality of users using electronic dictionaries. ・ July words (English words' English idioms, etc.) search history and words often appearing in documents specified by users. Words that are considered to be frequently used by each user by using a set of idioms. • Support the intensive learning of idioms. User power When there is a request for word learning, the user's dictionary search history or words in the document specified by the user · Audio related to idioms · Text 'Select image data from the database and transfer it to the user's terminal . In addition to learning purposes, it can also be used to preferentially provide voice 'text' image data suitable for the user's purpose of use.

FIG. 2 is a configuration diagram of the word / idiom learning support system according to the embodiment. The system in FIG. 2 includes a dictionary search client 201, a data request client 202, a data selection processing unit 203, a dictionary server 204, a search history database 205, and an information database 206.

The dictionary server 204 provides an electronic dictionary service, and the dictionary search client 201 requests the dictionary server 204 to search the dictionary. The dictionary server 204 returns a search result in response to a request from the dictionary search client 201.

The search history database 205 is a database that stores a search word 'jukugo (search word) for each user as a dictionary search history. The search history database 205 receives the dictionary search history information of each user from the dictionary server 204 or the dictionary search client 201 and stores it. The information database 206 is a database for storing voice text / image data associated with dictionary data.

The data request client 202 requests the data selection processing unit 203 for data reflecting the search history. In response to a request from the data requesting client 202, the data selection processing unit 203 is suitable for the requesting user from among the data stored in the information database 206 based on the data stored in the search history database 205. Select one and data Return to request client 202.

At this time, the data selection processing unit 203 refers to the contents of the search history database 205 and determines words and idioms related to the data to be passed to the data requesting client 202. Then, the determined word 'speech' associated with the idiom 'text' image data is selected from the information database 206 and passed to the data requesting client 202.

[0018] Thus, by utilizing the dictionary search history of the user, the word that the user wants to learn

-It is possible to provide the user with data reflecting the bias of idioms.

The dictionary search client 201 is used when the user examines the meaning of the word 'idiom,' and the data request client 202 acquires the voice 'text' image data necessary for learning the word 'idiom or for learning. Used when.

By the way, as an example of a method for the data selection processing unit 203 to select data to be provided to the user, it is conceivable that the user designates a search history ranking method in advance. In this case, in response to a request from the data request client 202, the data selection processing unit 203 acquires the corresponding user search word 'jukugo' from the search history database 205, and ranks them according to the specified ranking method. To do. The following are examples of ranking methods.

(1) The order with the largest number of searches.

(2) Search date is newest.

(3) Lower the priority of the word 'idiom used in the previous study.

(4) (1) One (3) Combination of ranking methods.

Next, the data selection processing unit 203 selects data related to the ranked words and idioms from the information database 206 and transfers the data to the data requesting client 202. The type of data to be transferred (voice / text 'image') and the amount are specified or set by the user or system builder.

FIGS. 3 and 4 show examples of tables stored in the search history database 205. The word · idiom table in Fig. 3 shows the correspondence between each word or idiom identifier (word · idiom ID) and that word or idiom. The search history table in Fig. 4 shows each user's identifier (user ID). ) And the identifier of the word or idiom searched by the user and the search date Represents a combination.

FIG. 5-8 shows an example of a table stored in the information database 206. The example sentence table in FIG. 5 shows the correspondence between identifiers (example sentence IDs) of each example sentence and identifiers of words or idioms included in the example sentence. The speech table in FIG. 6 represents the correspondence between each identifier of each example sentence and the speech data of the example sentence, and the text table in FIG. 7 represents the correspondence between each identifier of each example sentence and the text data of the example sentence. The image table represents the correspondence between identifiers of each example sentence and image data related to the example sentence.

The data selection processing unit 203 includes a user included in the request from the data request client 202

The search history database 205 is referred to based on the ID, and the corresponding word / idiom ID is acquired from the search history table of FIG. Next, referring to the information database 206 based on the obtained word / idiom ID, one or more corresponding example IDs are obtained from the example table shown in FIG. 5, and the example ID is also stored. In addition, the corresponding voice / text 'image data is acquired from the voice tape notebook shown in FIG. 6, the text tape notebook shown in FIG. 7, or the image table shown in FIG.

[0022] In the word / idiom learning support system in FIG. 2, the information to be provided is selected based on the dictionary search history of each user. In addition, it is generally used in reference books for word learning. It is also possible to select information to be provided by combining data on the frequency of use of the simple word 'idiom.'

FIG. 9 is a block diagram of such a word / idiom learning support system. The system in FIG. 9 has a configuration in which usage frequency data 901 is added to the system in FIG. The usage frequency data 901 is data in which general words and idioms used in newspapers, etc. are ranked by appearance frequency. The data processing unit 203 refers to the usage frequency data 901 in addition to the search history database 205 and determines voice / text image data to be passed to the data requesting client 202.

The data selection processing unit 203 uses both the search history ranking method specified by the user and the usage frequency data 901 when ranking the user's search words and idioms. The user or system designer specifies the weighting parameter to adjust how much priority is given to search history or usage frequency data 901.

[0025] According to such a system, it is often used in a user's dictionary search history and newspapers / books, etc. It is possible to provide voice 'text' image data associated with words and idioms that are expected to be highly useful to users by using data that ranks words and idioms.

In the word / idiom learning support system of FIG. 2, the data selection processing unit 203 classifies and provides the user and the word “idiom” based on the correlation between the dictionary search histories of a plurality of users. It is also possible to select.

FIG. 10 shows the concept of the user and word 'idiom classification processing. In FIG. 10, there is a common part between the search word set 1001 of user A and the search word set 1002 of user B (power S component ^). As the classification method, for example, the following method is used.

[0028] First, the data selection processing unit 203 uniformizes the number of words * idioms to be processed in the dictionary search history of each user in the search history database 205. At this time, N words and idioms are left to be processed in the order of search date. Alternatively, leave N searches in descending order of the number of searches.

Next, users whose ratio of the common word “idiom” in the dictionary search history of each user is equal to or greater than a threshold are regarded as users in the same group. The ratio of the common word 'jukugo' is calculated by the following formula, for example.

(Number of common words / N) X 100 (%)

Next, the users regarded as the same group are registered in the group table, and the search words and idioms of those users are registered in the group search history table allowing duplication. However, duplicate registration of the word 'jukugo' searched by the same user is not permitted. Words and idioms registered in the group search history table are ranked in descending order of appearance.

[0030] FIGS. 11 and 12 show examples of a group table and a group search history table, respectively. The group table in FIG. 11 shows the correspondence between the identifiers of each group (group ID) and the identifiers of users belonging to that group, and the group search history table in FIG. 12 shows the identifiers of each group and the users belonging to that group. Represents a combination of identifiers of searched words or idioms. These tables are stored in the search history database 205. The data selection processing unit 203 acquires the corresponding group ID from the group table based on the user ID included in the request from the data request client 202. Then, based on the obtained group ID, the corresponding word / idiom ID is obtained from the group search history table. And the ranked words * Data related to idioms information database 2

Select from 06 and transfer to the data request client 202.

[0032] According to such a system, it is possible to provide speech, text, and image data by using words and idioms searched by other users whose words' idioms appearing in the dictionary search history are similar. It becomes possible.

By the way, it is possible to adjust how wide the classification range of the word-idiom and the user is specified by the user specifying the threshold of the ratio of the common word * idiom. In this case, the larger the threshold value, the more similar users with similar search histories are classified into the same group. If the threshold is 100 (%), the search history of a single user is specified. Also, the smaller the threshold, the more distant users who have a search history are classified into the same group.

[0034] As described above, when the user adjusts the range of classification, the user himself / herself can adjust the range of voice / text / image data that is expected to have high utility value for the user.

[0035] In the word · idiom learning support system in Fig. 2, information to be provided is selected based on the dictionary search history of each user. Learning words · It is also acceptable to be able to specify the document file that you want to associate with idioms.

FIG. 13 is a block diagram of such a word “idiom learning support system”. The system of FIG. 13 has a configuration in which a document database 1301 is added to the system of FIG. The document database 1301 stores a document file registered by each user for the purpose of using the dictionary search history instead of the dictionary search history. As document files, PDF (Portable Document format), HTML (Hyper Text Markup Language), XML (extensible Markup Language) format files, and the like are used.

First, the user registers a document file in the document database 1301. Then day The data selection processing unit 203 extracts words and idioms in the document file specified by the user and uses them instead of the dictionary search history of the user or to supplement the dictionary search history.

. At this time, words / idioms that are not frequently used should be used preferentially over words / idioms that are frequently used in newspapers / books.

The data selection processing unit 203 ranks words-idioms when a request is received from the data request client 202 or before that. The ranking procedure is as follows.

1. Extract words and idioms from user-registered document files.

2. Rank the extracted words 'idioms'. At this time, lower the priority of words and idioms that are frequently used in newspapers and books. Also, increase the priority of words and idioms that appear frequently in the specified document file.

3. Use the word extracted from the document file · idiom instead of the word 'idiom searched by the user. Alternatively, the extracted words “idioms” are combined with the words searched by the user and “idioms” to rank the words “idioms”.

[0039] According to such a system, it is possible to use a document file that the user wants to associate in place of the search history or to supplement the search history.

By the way, the same words and idioms have multiple meanings. Therefore, in order to select an example sentence that has a higher utility value for the user, the data selection processing unit 203 may select an example sentence to be used among the example sentences including more classified words and idioms. . Alternatively, select sentences in the document file registered in the document database 1301 as example sentences.

[0040] In this case, the data selection processing unit 203 prepares a set of words to be learned 'idioms' associated with the requesting user by any one of the methods described above. Then, when the word “jukugo” included in a plurality of example sentences is included in the set of user words “jukugoji”, the following method 1 or method 2 is used to determine which example sentence should be adopted. Method 2 may also be applied to words and idioms that are included in only one example sentence.

Method 1: The user's word 'other words in the set of idioms' gives priority to example sentences that contain idioms at the same time. Method 2: Extract an example sentence that uses the middle of the document file registered in the document database 1301 by the user.

[0041] This makes it possible to extract an example sentence that is expected to have a higher utility value for the user and to provide speech 'text' image data related to the example sentence.

In addition, new users who do not have a dictionary search history, or the ability to start learning in fields that are not related to the word-phrase that has been searched so far, it is also possible to use the search history of other users It is. In this case, the data selection processing unit 203 selects a field classified based on the search history of another user. Specifically, an example sentence suitable for the user is selected without a search history by any of the following methods (a) to (c).

(a) The user registers a few words or phrases in related fields. The data selection processing unit 203 uses the search history of another user who includes many registered words and idioms in the search history. For example, a word / idiom used in the field targeted by user A is registered, and the data selection processing unit 203 stores the search history of user B, which contains a large number of registered words' idioms, Diverted for.

(b) The user registers a document file in the related field in the document database 1301. The data selection processing unit 203 extracts words and idioms from the registered document file and uses them in place of the words and idioms in the search history. At this time, words and idioms that are not frequently used are preferentially extracted over words and idioms that are frequently used in newspapers and books. PDF file, HTML file, XML file, etc. are used as document files.

(c) The user registers a few words or phrases in related fields. The data selection processing unit 203 selects a group ID containing many words “jukugo” registered by the user from the group search history table of FIG. The word 'idiom corresponding to the selected group ID is used instead of the user's search history.

[0042] Thus, by utilizing the search history of other users, a new user who does not have a dictionary search history, or a user who wants to start learning in a field that is not related to words or idioms that have been searched so far However, it becomes possible to use the word 'idiom learning support system.

[0043] Next, referring to FIG. 14 to FIG. The mounting method will be described.

Fig. 14 shows the system configuration when server dependency is high. In this configuration, a dictionary search client 201 and a data request client 202 are implemented in the user terminal 1401, and a data selection processing unit 203, a dictionary server 204, a search history database 205, and an information database 206 are implemented in the server 1402. The user terminal 1401 and the server 1402 are connected via a communication network.

The dictionary search client 201 of the user terminal 1401 requests a dictionary search from the dictionary server 204 of the server 1402 and receives a search result. Further, the data request client 202 requests the data selection processing unit 203 for data reflecting the search history, and receives the audio / text / image data selected by the data selection processing unit 203.

[0045] By assigning a unique user identifier to each user, even if the user terminal is different, if the dictionary search client 201 and the data request client 202 are implemented, the user should use the same environment. Can do.

FIG. 15 is a flowchart of information selection processing in the system of FIG. First, the dictionary server 204 of the server 1402 acquires the user's dictionary search history and stores it in the search history database 205 (step 1501). Next, the data selection processing unit 203 refers to the information database 206 based on the acquired dictionary search history, determines an example sentence suitable for the user, and selects from the speech / text 'image data in the information database 206. Then, select data related to the example sentence (step 1502).

[0047] Next, the data requesting client 202 of the user terminal 1401 requests the data selection processing unit 203 for data reflecting the search history (step 1503). In response to this, the data selection processing unit 203 transmits the previously selected voice “text” image data to the data requesting client 202.

FIG. 16 is a flowchart of another information selection process in the system of FIG. The processing in steps 1601 and 1604 in FIG. 16 is the same as the processing in steps 1501 and 1504 in FIG. This processing is different from the processing in FIG. 15 in which the server 1402 performs data calculation after receiving a data request.

[0049] The data request client 202 of the user terminal 1401 receives data reflecting the search history. A request is sent to the data selection processing unit 203 (step 1602). In response to this, the data selection processing unit 203 refers to the information database 206 on the basis of the user's dictionary search history, and selects voice / text / image data suitable for the user (step 1603).

[0050] According to such a system, the word / idiom learning support service provided by the server can be used from a user terminal with a low processing capacity and a small amount of stored data. It is also possible for the same user to use the same service via a plurality of different user terminals.

FIG. 17 shows a system configuration when a plurality of users use a common dictionary server on the network. In this configuration, M user terminals 1701-1-11701-M have the same configuration as the user terminal 1401 of FIG. 14, and are connected to the dictionary server 204 via a communication network.

The dictionary search history stored in the dictionary search client 201 or dictionary server 204 of each user terminal is moved to the search history database 205 when a certain condition is satisfied, as shown in FIG. Then, the search history database 205 stores a dictionary search history together with each user identifier. Alternatively, the dictionary search history may be registered in the search history database 205 each time a dictionary search is performed.

FIG. 19 shows a system configuration when the server dependency is low. In this configuration, a dictionary search client 201, a data request client 202, and a dictionary server 204 are installed in the user terminal 1901, and a data selection processing unit 203, a search history database 205, and an information database 206 are installed in the server 1902. The user terminal 1901 and the server 1902 are connected via a communication network.

The user terminal 1901 further stores a dictionary search history 1911 and download data 1912. The dictionary search history 1911 is a dictionary search history by the dictionary search client 201, and the download data 1912 is the voice-text image data previously downloaded from the server 1902. In this case, the user terminal 1901 connects to the server 1902 via the communication network only when uploading the dictionary search history 1911 and when downloading new voice / text image data.

[0055] The dictionary search client 201 of the user terminal 1901 uses the dictionary on the same user terminal 1901. Requests a dictionary search from the server 204 and receives a search result. Then, a dictionary search history 191 1 is generated. The user terminal 1901 uploads the dictionary search history 1911 on the user terminal 1901 to the search history database 205 at least once before requesting the server 1902 for data reflecting the search history.

The data requesting client 202 requests data from the data selection processing unit 203 and receives the voice “text” image data selected by the data selection processing unit 203. The received data is stored as download data 1912. The user terminal 1901 reuses the download data 1912 when not connected to the network.

FIG. 20 is a flowchart of information selection processing in the system of FIG. First, the dictionary server 204 of the user terminal 1901 uploads the dictionary search history 1911 to the server 1902, and the server 1902 stores it in the search history database 205 (step 2001). The subsequent processing in steps 2002, 2003, and 2004 is the same as the processing in steps 1502, 1503, and 1504 in FIG. The user uses the data received from the server 1902 or the downloaded data 1912 received in the past for learning (step 2005).

[0058] When the user wants new data, the user downloads data from the server 1902 according to the procedure after step 2001 or 2003, and when using the previously downloaded data, only the procedure of step 2005 is used. Execute.

FIG. 21 is a flowchart of another information selection process in the system of FIG. The processing in steps 2101, 2104, and 2105 in FIG. 21 is the same as the processing in steps 2001, 2004, and 2005 in FIG. This process is different from the process in FIG. 20 in that the server 1902 performs data calculation in step 2103 after receiving a data request in step 2102.

[0060] When the user wants new data, the user downloads data from the server 1902 according to the procedure after step 2101 or step 2102, and when using the previously downloaded data, only the procedure at step 2105 is used. Execute.

[0061] According to such a system, the word 'idiom learning support service provided by the server can be used with a network connection frequency as low as possible. FIG. 22 shows another system configuration when the server dependency is low. In this configuration, a dictionary search client 201, a dictionary server 204, and an information database 206 are mounted on the user terminal 2201, and a data range request client 2211 is mounted instead of the data request client 202. The server 2202 includes a search history database 205 and a data selection processing unit 2213 instead of the data selection processing unit 203. The user terminal 2201 and the server 2202 are connected via a communication network.

The user terminal 2201 stores a dictionary search history 2212, and the example sentence table in FIG. 5 is stored in the server 2202 instead of the information database 206. The data range requesting client 2211 is a client that requests range specifying information that specifies the range of a target example sentence. The dictionary search history 2212 is a history of dictionary search by the dictionary search client 201. In this case, when uploading the dictionary search history 2212, the user terminal 2201 connects to the server 2202 via the communication network only when downloading the range designation information.

[0063] The dictionary search client 201 of the user terminal 2201 requests a dictionary search from the dictionary server 204 on the same user terminal 2201, and receives the search result. Then, a dictionary search history 221 2 is generated. The user terminal 2201 uploads the dictionary search history 2212 on the user terminal 2201 to the search history database 205 at least once before requesting the server 2202 for range designation information.

The data range request client 2211 requests range specification information from the data selection processing unit 2213. Similar to the data selection processing unit 203, the data selection processing unit 2213 refers to the search history database 205 and calculates the range of example sentences reflecting the search history. Then, the range designation information is generated and transmitted to the data range request client 2211. The range of the example sentence is specified using, for example, an identifier of an example sentence including the search word 'predicate'.

[0065] The data range request client 2211 refers to the information database 206 based on the range designation information received from the data selection processing unit 2213, extracts the corresponding voice 'text' image data, and presents it to the user. To do.

[0066] Similar to the system of FIG. 19, if the previously downloaded range designation information is stored in the user terminal 2201 as download data, the previously received range designation information is used. It can be used to present voice / text 'image data to the user.

FIG. 23 is a flowchart of information selection processing in the system of FIG. The processing in steps 2301 and 2305 in FIG. 23 is the same as the processing in steps 2001 and 2005 in FIG. Steps 2302, 2303, and 2304 are different from the process of FIG. 20 in which the point designation information S is the processing target of the range designation information instead of the data related to the example sentence.

[0068] When the user wants new range designation information, the user downloads the range designation information from the server 2202 according to the procedure after step 2301 or step 23 03 and uses the range designation information downloaded last time. Performs only step 2305.

FIG. 24 is a flowchart of another information selection process in the system of FIG. The processing in steps 2401, 2404, and 2405 in FIG. 24 is the same as the processing in steps 2301, 2304, and 2305 in FIG. This process is different from the process of FIG. 23 in that the server 2202 calculates the range designation information in step 2403 after receiving the request for the range designation information in step 2402.

[0070] When the user wants new range designation information, the user downloads data from the server 2202 according to the procedure from step 2401 or step 2402, and when using the previously downloaded range designation information, the step 2405 Perform the procedure only.

[0071] According to such a system, the word 'idiom learning support service provided by the server can be provided with as little network transfer data as possible.

FIG. 25 shows a system configuration for collecting dictionary search histories on a plurality of user terminals. In this configuration, M user terminals 2501-1-2501-M have the same configuration as the user terminal 1401 in FIG. 14, the user terminal 1901 in FIG. 19, or the user terminal 2201 in FIG. Is connected to the search history database 205 via

[0072] The dictionary search history stored in the dictionary search client 201 or dictionary server 204 of each user terminal is transferred to the search history database 205 when a certain condition is satisfied, as shown in FIG. . Then, the search history database 205 stores a dictionary search history together with each user identifier. Alternatively, the dictionary search history may be registered in the search history database 205 each time a dictionary search is performed.

[0073] FIG. 26 shows the application of the word 'idiom learning support system' described above to learning English words 'English idioms'. Shows a specific system configuration in the case of 26 includes a portable terminal 2601, an example sentence data selection processing unit 2602, an English-Japanese 'Japanese-English dictionary server 2603, a search history database 2604, and an English example sentence database 2605. The portable terminal 2601 includes a dictionary search client 2611 and Includes an example sentence data request client 2612.

The user uses the dictionary search client 2611 on the portable terminal 2601 to connect to the English-Japanese / Japanese-English dictionary server 2603 on the network. The history of the user searching for the English word “English idiom” is stored on the dictionary server 2603 or the user terminal 2601 as a dictionary search history. The dictionary search history is moved to the search history database 2604 and stored in association with the user identifier.

A plurality of users connect to the English-Japanese 'Japanese-English dictionary server 2603 on the network from their respective mobile terminals, and perform a dictionary search. As a result, dictionary search histories of a plurality of users are accumulated in the search history database 2604.

[0076] The user learns English by listening to audio data of English example sentences stored in the English example sentence database 2605. The English example sentence provided to the user is selected by the example sentence data selection processing unit 2602 based on the dictionary search history of a plurality of users. In the search history database 2604, a set of users and English words / English idioms are grouped and associated with each other by the method shown in FIG. Accordingly, the English data associated with the requesting user, the English data in the set of English idioms, and the speech data of the English example sentence using the English idiom are selected and transmitted to the mobile terminal 2601 of the user.

[0077] When learning, the user uses the example sentence data request client 2612 on the portable terminal 2601 to request the example sentence data selection processing unit 2602 on the network for example sentence data (voice data)). Similar to the data selection processing unit 203, the example sentence data selection processing unit 2602 determines an example sentence to be transmitted to the user, selects voice data of the determined example sentence from the English example sentence database 2605, and transmits it to the portable terminal 2601. To do.

By listening to the received voice data, the user can focus on learning the English word “English idiom having a high utility value for the user”.

By the way, user terminal 1401 in FIG. 14, server 1402, user terminal 1901 in FIG. 19, sano 1902, user 2201 in FIG. 22, sano 2202, and ^^ or 2601 in FIG. The example sentence data selection processing unit 2602, the English-Japanese 'Japanese-English dictionary server 2603, the search history data base 2604, and the English example sentence database 2605 can each be configured using an information processing device (computer) as shown in FIG. .

The information processing apparatus in FIG. 27 includes a CPU (central processing unit) 2701, a memory 2702, an input device 27 03, an output device 2704, an external storage device 2705, a medium drive device 2706, and a network connection device 2707. Are connected to each other by a bus 2708.

The memory 2702 includes, for example, a ROM (read only memory), a RAM (random access memory), and the like, and stores programs and data used for processing. The CPU 2701 performs necessary processing by executing a program using the memory 2702.

In this case, dictionary search clients 201 and 2611, data request client 202, data selection processing sections 203 and 2213, dictionary server 204, data range request client 2211, and example sentence data request client 2612 are stored in memory 2702 as programs. Stored in

The input device 2703 is, for example, a keyboard, a pointing device, a touch panel, and the like, and is used for inputting instructions and information from operators such as users, system builders, system designers, and server administrators. The output device 2704 is, for example, a display, a printer, a speaker, and the like, and is used to output information such as an inquiry to an operator, a processing result, and voice / text data.

The external storage device 2705 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, a tape device, or the like. The information processing apparatus stores programs and data in the external storage device 2705, and loads them into the memory 2702 and uses them as necessary. The external storage device 2705 is also used as a search history database 205 and an information database 206.

The medium driving device 2706 drives the portable recording medium 2709 and accesses the recorded contents. The portable recording medium 2709 is an arbitrary computer-readable recording medium such as a memory card, a flexible disk, an optical disk, and a magneto-optical disk. The operator stores programs and data in the portable recording medium 2709 and loads them into the memory 2702 and uses them as necessary.

[0085] The network connection device 2707 is a device such as a LAN (local area network) or the Internet.

Claims

It is connected to an arbitrary communication network and performs data conversion accompanying communication. The information processing device receives programs and data from an external device via the network connection device 2707 as necessary, and loads them into the memory 2702 for use. FIG. 28 shows a method for providing a program and data to the information processing apparatus of FIG. Programs and data stored in the portable recording medium 2709 and the database 2811 of the server 2801 are loaded into the memory 2702 of the information processing apparatus 2802. The server 2801 generates a carrier signal that carries the program and data, and transmits the carrier signal to the information processing apparatus 2802 via an arbitrary transmission medium on the network. The CPU 2701 executes the program using the data and performs necessary processing. Industrial Applicability [0087] A learning service provider can obtain a service fee by providing the word 'idiom learning support service for a fee through the Internet. Alternatively, advertising revenue can be obtained by including advertisements in the information provided to users in the following manner. Example 1: Use an advertising message that includes the word you provide as an example sentence. Example 2: Words of each user. By sending advertisement messages of products and services related to a set of idioms separately for each user, an effective advertisement message is conveyed to each user group to be targeted. Example 3: A certain number of example sentences is provided only when the user receives an advertisement message without interruption and shows a response that can be recognized as received. [0088] The user can effectively use the gap time in a commuter train or bus to advance learning. In addition to learning purposes, it is possible to efficiently provide speech 'text' image data that is expected to have high utility value for users. The scope of the claims

[1] A search history storage unit that stores, for each user, a dictionary search history that represents a history of users searching the electronic dictionary;

An information storage unit for storing information provided to the user associated with the data in the electronic dictionary;

A selection processing unit that selects information to be provided to the information requesting user from the information stored in the information storage unit using the dictionary search history stored in the search history storage unit;

An information selection device comprising:

2. The information selection device according to claim 1, further comprising a dictionary server that provides a dictionary service using the electronic dictionary.

[3] Refer to the search history storage section that stores the dictionary search history that represents the history of users searching the electronic dictionary for each user.

Select information to be provided to the information requesting user from an information storage unit that stores information provided to the user associated with the data in the electronic dictionary.

A program that causes a computer to execute processing.

[4] Voice data, text data, or image data associated with an example sentence including a search word included in the dictionary search history of the request source user is selected from the information storage unit, and the request source user is selected. 4. The program according to claim 3, which causes the computer to execute a process to be provided.

[5] The search history storage unit stores information in which users are classified into one of one or more groups and information in which search terms included in a dictionary search history of users in the same gnole are classified into the groups. 5. The program according to claim 4, wherein the program causes the computer to execute a process of selecting data associated with an example sentence including a search word corresponding to the requesting user group. .

[6] The claim 5, wherein the search history storage unit stores information in which users whose common search terms in the dictionary search history are equal to or greater than a threshold are classified into the same group. Program.

[7] The priority of the search terms included in the dictionary search history of the request source user is determined by combining the dictionary search history of the request source user with data on the frequency of use of general words or phrases. 5. The program according to claim 4, which causes the computer to execute processing.

[8] Using the word or idiom included in the document file registered by the user, causing the computer to execute processing for determining the priority order of the search terms included in the dictionary search history of the requesting user. 5. The program according to claim 4, wherein

[9] The program according to claim 4, wherein the computer is caused to execute a process of selecting the example sentence from sentences including more search terms.

[10] The search history storage unit stores a dictionary search history collected from a plurality of user terminals for each user, and the program performs a process of selecting data using the collected dictionary search history. The program according to claim 4, wherein the program is executed by

[11] Voice data, text data, or image data associated with an example sentence including a search term included in a dictionary search history of a user other than the requesting user is selected from the information storage unit, 4. The program according to claim 3, which causes the computer to execute processing to be provided to a requesting user.

[12] Refer to the search history storage unit that stores the dictionary search history that represents the history that the user searched the electronic dictionary for each user,

Generate range designation information for selecting information to be provided to the user who requested the information from an information storage unit for storing information to be provided to the user, which is associated with the data in the electronic dictionary.

A program that causes a computer to execute processing.

[13] A search history storage unit that stores, for each user, a dictionary search history that represents a history of searching the electronic dictionary by the user, and information that stores information provided to the user associated with the data of the electronic dictionary Requesting information from an information selection device having a storage unit;

The information selected from the information stored in the information storage unit is received using the dictionary search history stored in the search history storage unit. A program that causes a computer to execute processing.

[14] Information provided to the user associated with the data of the electronic dictionary in an information selection device having a search history storage unit that stores, for each user, a dictionary search history representing a history of searching the electronic dictionary by the user Requesting range specification information for selecting information to be provided to the information requesting user from the information storage unit storing

Receive range specification information generated using the dictionary search history stored in the search history storage unit

A program that causes a computer to execute processing.

[15] The selection processing unit refers to a search history storage unit that stores, for each user, a dictionary search history that represents a history of the user searching the electronic dictionary,

The selection processing unit selects information to be provided to the information requesting user from an information storage unit that stores information provided to the user associated with the data in the electronic dictionary.

An information selection method characterized by that.