JPH1040262A - Information retrieval device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information retrieval device which retrieves sensibility expression data as a keyword, whose degree of freedom on retrieval is high for a user whose does not have a clear retrieval object or a retrieval condition, which can reduce the complication of retrieval and which can output information classification adjusted to the sensibility of a person executing retrieval and an information set belonging to the classification. SOLUTION: A retrieval condition input part 101 inputs sensibility expression data and a feature quantity conversion process part 102 converts inputted sensibility expression into feature quantity by an attribute system. An information address is stored in a sensibility data base 103 in connection with feature quantity obtained by converting it from sensibility expression data. An uniform resource relocator(URL) retrieval process part 104 compares the feature quantity of sensibility expression inputted as the retrieval condition with feature quantity stored in connection with the information address stored in the sensibility data base and outputs the fitted information address to an URL output part 105 as the result of retrieval.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for storing information in an information processing organization and retrieving necessary information.

[0002]

2. Description of the Related Art When a user retrieves necessary information from a large amount of information stored in an information processing organization such as a database, there is a method in which the user inputs search conditions such as a classification code, a keyword, or a logical operation expression thereof. Used. For example, in a database of company credit introduction, an industrial field, a product field, a company name, a head office location, and the like are used as classification codes and keywords as condition search keys. In addition, the patent information database is designed to improve the degree of freedom of search using free keywords. Also, as another search method, as seen in the search of the World Wide Web on the Internet, etc., categories are classified hierarchically in advance, and links are provided between hierarchical classifications in the vertical or horizontal direction, A method in which a searcher follows the link step by step by selection and narrows down while transitioning is also used. For example, when information on a ring is desired, a search is performed by sequentially selecting hierarchical classifications such as “shopping”, “accessory”, and “ring”.

[0003]

The former classification code / keyword search method can be effectively used when the object of the information to be retrieved and retrieved and the retrieval conditions are clear, but these classification codes and keywords are not objective. Are mainly fixed to nouns, noun-like prefixes, etc., and search conditions are often complicated, and if the keyword is a word with a universal broad meaning, a lot of information will appear. After that, there was a problem that the narrowing would fail unless the keywords for narrowing were clearly understood.

[0004] Further, in the latter search by selective transition between hierarchical classifications as seen in the search of the world wide web, etc., if the searcher does not grasp clear search targets and search conditions, There has been a situation where it is difficult to judge whether the information that has been hit is the information closest to the information requested by the searcher, or that there is more preferable information, by repeatedly changing the hierarchical classification unnecessarily.

The present invention allows a searcher to select a subjective expression or a sentiment expression as a keyword that cannot be handled by a conventional classification code or a keyword, thereby enabling a user who does not have a clear search target or a search condition. Another object of the present invention is to provide a user who has a high degree of freedom in searching, reduces the complexity of searching, and provides information that matches the sensitivity of the searcher. In addition, the closest classification is determined from the subjective expression and the sentiment expression selected as keywords, and the information set belonging to the determined classification is dynamically selected. It is an object of the present invention to provide an information retrieval device capable of outputting the latest information belonging to the group to a user.

[0006]

In order to achieve the above object, an information retrieval apparatus according to the present invention comprises a sentiment expression data input means for inputting sentiment expression data, and a sentiment expression data input by the sentiment expression data input means. A feature amount conversion unit that characterizes data by a sentiment expression attribute sequence and converts the data into a feature amount; and an information address storage that stores an information address indicating a location of the information in association with the feature amount converted by the feature amount conversion unit. Means for comparing the feature quantity stored in association with the information address in the information address storage means with the feature quantity converted by the feature quantity conversion means from the sentiment expression data input by the sentiment expression data input means. Information address search means for searching for an information address having a feature value having a similar value; And a search information display means for displaying information address retrieved by means.

With this configuration, by inputting emotion expression data as a search condition, an information address having a feature amount matching the emotion expression is searched and displayed. Further, in the information retrieval apparatus according to the present invention, a sentiment expression data inputting means for inputting sentiment expression data, and a characteristic for characterizing the sentiment expression data inputted by the sentiment expression data inputting means with a sentiment expression attribute sequence and converting it into a feature amount. Quantity conversion means, information classification storage means for storing an information class representing the classification to which the information belongs in association with the feature quantity converted by the feature quantity conversion means, and an information address representing the location of the information as the feature quantity An information address storage unit that stores the information in association with the feature amount of each attribute converted by the conversion unit; and a feature amount that is stored in association with the information classification by the information classification storage unit is input by the emotion expression data input unit. By comparing with the feature amount converted by the feature amount conversion unit from the sentiment expression data,
An information classification search unit that searches for an information class having a feature amount having a value close to the value, and a feature amount stored in association with an information address in the information address storage unit in the information class searched by the information classification search unit. An information address search unit for searching for the information address having a feature amount close to the value by comparing with the feature amount; an information classification searched by the information classification search unit; and an information address searched by the information address search unit. And search information display means for displaying

With such a configuration, by inputting the sentiment expression data as a search condition, an information classification matching the sentiment expression and an information address belonging to the classification are searched.
Is displayed.

[0009] Further, it is preferable that the information retrieval device has an information classification selecting means for selecting an information classification when there are a plurality of information classifications displayed by the information display means.

[0010] With this configuration, the specified information category is selectively displayed from the plurality of information categories displayed by the search information display means. Further, in the information search device, an information display designating means for designating display of information with respect to an information category or an information address displayed by the search information display means as the search result; and information belonging to the information category designated for display. It is preferable to have acquired information display means for acquiring information existing at the address or the information address designated for display, and displaying the acquired information on the search information display means.

With this configuration, the information present at the information address is displayed as a search result in addition to the information address. Further, an information retrieval apparatus according to the present invention is characterized by inputting sentiment expression data for inputting sentiment expression data, and characterizing sentiment expression data input by the sentiment expression data input unit with a sentiment expression attribute sequence, and converting the data into feature amounts. A feature amount conversion unit, an information classification storage unit that stores an information class representing a class to which the information belongs in association with the feature amount converted by the feature amount conversion unit, and a feeling expression used by the information classification storage unit. A feature amount conversion unit that has an attribute sequence based on a sentiment expression of an information address independently of the attribute sequence, characterizes sentiment expression data with the independent sentiment expression attribute sequence, and converts the information address into a feature value; An information address storage means for storing the information in association with the characteristic amount converted by the conversion means; A feature amount conversion unit that has the same attribute series as that associated with the information, and characterizes the kansei expression data for the information classification stored in the information classification storage unit with the independent kansei expression attribute sequence, and converts it into a feature amount. An information address search information classification storage unit that stores the information classification in association with the feature amount of each attribute converted by the feature amount conversion unit; and stores the information classification in association with the information classification by the information classification storage unit. An information classification search for searching for the information class having a feature value having a similar value by comparing the feature value with the feature value converted by the feature value conversion means from the sentiment expression data input by the sentiment expression data input means; Means for searching the feature quantity stored in association with the information classification for information address search by the information classification search means. An information address search information classification search means for searching an information address search information classification having a feature value having a close value by comparing with a feature amount stored in association with the information class which has been stored; An information address search that searches for the information address having a feature value that is close to the value by comparing the feature value stored in association with the information address with the feature value of the searched information class for information address search. Means for displaying information classifications searched by the information classification search means and information addresses searched by the information address search means.

With such a configuration, by inputting the sentiment expression data as a search condition, an information class that matches the sentiment expression and an information address belonging to the information class for information address search that matches the sentiment expression possessed by the information classification are provided. Is searched and displayed.

[0013] The information retrieval apparatus further comprises a user model input means for inputting a user model, stores the user model in association with the feature value, and stores the user model in the search using the feature value. In addition, it is preferable to include means for performing a search for comparing the stored user model with the input user model.

With this configuration, a user model is input as search conditions in addition to the kansei expression data, and information that matches the kansei expression of the searcher is searched for and displayed. Further, the information search device has information address input means for storing an information address in the information address storage means, and the information input device inputs an emotion expression data to be associated with the input information address. An information address attribute value correction unit for setting an address standard input user and correcting a difference in sensitivity between the input user and the standard input user using a relative value for each attribute series of the information address; It is preferable to have input user attribute correction value storage means for storing relative values used by the means.

With this configuration, when the emotion expression data is input, a feature amount in which the difference between the sensitivity of the input user and the sensitivity of the standard input user is corrected is taken in as data. In the information retrieval device, the information address storage unit corrects, for each user model, a difference in sensitivity with the user who inputs the sentiment expression data using a relative value for each attribute series of the information address. It is preferable to have an address attribute value correction unit and a user model attribute correction value storage unit that stores a relative value used by the information address attribute value correction unit.

With this configuration, one input user takes in the attribute feature amount of the information address suitable for each user model as data. In the information search device,
It is preferable to have a user identifier input means for inputting a user identifier, and a search history storage means for storing an information address searched once for each user identifier.

With this configuration, the information address displayed by the search information display means is controlled by using the search history stored in the search history storage means for the same user. Further, the information search device has an information address search frequency storage unit that stores a search frequency for the searched information address, and the information address search unit preferentially searches for an information address having a high search frequency. It is preferable that the information display means preferentially output an information address having a high search frequency.

With this configuration, a popular information address is preferentially displayed. Further, in the information search device, search date and time input means for inputting a search date and time, timer processing means for activating the information address search means at the date and time input by the search date and time input means, and start by the timer processing means The information address searching means, and a search result storing means for storing the information address searched by the information address searching means, performing a search based on the previously input kansei expression data at a designated date and time, It is preferable to save the search results.

With this configuration, the search of the information address is executed by the batch process by designating the search date and time. Further, in the information search device, information acquisition means for acquiring information present at the information address searched by the information address search means started by the timer processing means,
Search information storage means for storing the information acquired by the information acquisition means, search information display means for displaying the information stored in the search information storage means while automatically sending the information in order, and automatic search information display means. It is preferable to have a progress control means for controlling the progress of the feeding.

With this configuration, the information searched by the batch processing by setting the search date and time is displayed while being automatically sent. Further, in the information retrieval device, it is preferable that the information address is a uniform resource locator of the Internet World Wide Web. With this configuration, the information search device can be used as an information search device for the World Wide Web on the Internet.

[0021]

DETAILED DESCRIPTION OF THE INVENTION

Embodiment 1 Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

As an information retrieval apparatus according to the first embodiment of the present invention, a World Wide Web (hereinafter abbreviated as WWW) retrieval apparatus on the Internet will be described. FIG. 1 is a system configuration diagram of a WWW search device according to a first embodiment of the present invention.
In FIG. 1, reference numeral 101 denotes a search condition input unit that receives a sentiment expression data input from a user, 102 denotes a feature amount conversion process unit that converts the sentiment expression data input by the search condition input unit 101 into a feature amount of the sentiment expression data, Reference numeral 103 denotes a WWW uniform resource locator (Unif) in which the same sensation expression data as those used in the characteristic amount conversion processing unit 102 and the characteristic amounts for the sensation expression data are associated with each other.
orm Resource Locator. Hereinafter, U
Kansei database 104 for storing RL)
Is a sentiment database 1 based on the sentiment expression data converted by the feature amount conversion processing unit 102 and the feature amount.
URL search processing unit for searching a URL from 03, 10
Reference numeral 5 denotes a URL output unit that displays a search result from the URL search processing unit 104.

Note that the search condition input unit 101 serves as a feature amount conversion processing unit 1 in the sentiment expression data input unit of the present invention.
02 corresponds to a feature amount conversion unit, the sentiment database 103 corresponds to an information address storage unit, the URL search processing unit 104 corresponds to an information address search unit, and the URL output unit 105 corresponds to a search information display unit.

FIG. 2 shows the hardware configuration of the system configured as described above. FIG. 2 is basically the same as the configuration of the general-purpose computer system. 2, the same components as those of the system configuration of FIG. 1 are denoted by the same reference numerals, and only the portions that will not be described will be described. 20
1 is a VRAM that stores data for display, 202 is a main storage device that stores programs and data for processing at the time of execution, 203 is an external storage device that stores programs and data, and 204 is an external storage device 203 Is loaded into the main memory 202 and executed.

The operation of the information retrieval apparatus configured as described above will be described with reference to the flowchart of FIG. In step 301, the search condition input unit 101 receives an input of a search condition from a user. The search condition is input using, for example, a coordinate plane shown in FIG. Sensitivity expression data is attached to the coordinate axes, and the user specifies a point on the area using a mouse or the like. The axes are identified by an x-axis and a y-axis as commonly used, and the range of each axis is -100 to 1
Integer between 00. A plurality of coordinate planes used for inputting search conditions may be prepared. In that case, the user can freely select the coordinate plane. Each coordinate plane is assigned a plane number used for its identification, and the sensibility expression data corresponding to each coordinate axis is different. In the example of the coordinate plane, the sentiment expression data is assigned to the input, but it is not always necessary to present the sentiment expression data to the user. For example, a picture can be used to input a search condition.

In step 302, the sentiment expression data used in the input in step 301 is converted into the feature amount of the sentiment expression data. In an example in which a coordinate plane is used to input a search condition, conversion is performed using the number of the plane selected by the user and its coordinate values. The feature amount conversion processing unit 102 stores the correspondence between the plane number and the sensibility expression data assigned to the coordinate axis of the number as shown in FIG. Further, the coordinate values input in step 301 are used as the feature amounts. That is, the input value (plane number, x, y) = (1, 2)
(0, 30) is converted to (fun = 20) and (newness = 30). In this example, the coordinate value is used as the feature value, but the coordinate value need not always be used. For example, when a picture is used for inputting a search condition, as shown in FIG. 6, kansei expression data and its feature amount are stored for each picture number and conversion is performed.

In step 303, using the set of the sentiment expression data and the feature amount converted in step 302, one of the URLs stored in the sentiment database 103 that matches the sentiment expression data input by the user is used. Search for the specified number. The number of searches may be fixed by the WWW search device or may be input by the user at the search condition input unit. As shown in FIG. 7, the sensitivity database 103 includes:
For the sentiment expression data converted in step 302,
What feature quantity the URL has is stored in association with the URL. U that matches the emotional expression entered by the user
In order to search for the RL, the feature amount of the sentiment expression data converted in step 302 is considered as a point on the n-dimensional space, and the specified number of sentiment databases 1 are selected from those having a short distance from the point.
03 URL data is searched. For example, step 30
2 (fun = 20), (new = 3
0), each U existing in the sensitivity database 103
The distance between (a, b) and (20, 30) in two dimensions is calculated for the value “a” of “fun” and the value “b” of “newness” of the RL data. Thus, the sensitivity database 10
3, a specified number of URLs are searched from those close to the point (20, 30).

In step 304, the URL retrieved in step 303 is displayed on the URL output unit 105. A display example shown in FIG. 8 is conceivable. In addition,
In the first embodiment of the present invention, a two-dimensional plane is used as the search condition input means for the sentiment expression. However, any input means capable of weighting the sentiment expression data may be used. It may be a deviation of the position in the multidimensional space.

(Embodiment 2) Next, a second embodiment of the present invention will be described with reference to the drawings. FIG. 9 is a system configuration diagram of a WWW tour search device that is an information search device according to the second embodiment of the present invention. FIG. 9 includes the same components as those of the system configuration of the first embodiment of the invention shown in FIG. 1, but the same numbers are assigned to the same components, and the description will be omitted, and only different components will be described. Reference numeral 901 denotes a tour database that stores the same kansei expression data used in the feature amount conversion processing unit 102 and a tour name that associates a feature amount with the kansei expression data, and 902 denotes a kansei expression converted by the feature amount conversion processing unit 102. A tour search processing unit 903 for searching for a tour name from the tour database 901 based on the data and the feature amount thereof, 903 associates the same kansei expression data as those used in the feature amount conversion processing unit 102 with the feature amounts for the kansei expression data. A URL database 904 for storing URLs is a URL for searching the URL database 903 for a URL that matches the tour searched by the tour search processing unit 902.
A search processing section 905 is a tour search processing section 902.
The tour output unit displays the tour name searched by the URL and the URL searched by the URL search processing unit 904.

Note that the tour database 901 described above is used as the information classification and storage means of the present invention by the tour search processing section 9.
02 is a URL database 903 for the information classification search means.
Is a URL search processing unit 90 in the information address storage means.
4 corresponds to an information address search unit, and the tour output unit 905 corresponds to a search information display unit.

FIG. 10 shows the hardware configuration of the system configured as described above. Since the hardware configuration of FIG. 10 includes the system configuration portion shown in FIG. 9 and the hardware configuration portion of the first embodiment of the invention shown in FIG. 2, the same components are denoted by the same reference numerals and will not be described. Omitted.

The operation of the WWW tour search device configured as described above will be described with reference to the flowchart of FIG. Step 1101 and step 1102 are:
Each performs the same processing as steps 301 and 302 of the first embodiment of the invention.

In step 1103, step 1102
Using the set of the sentiment expression data and the feature amount converted in the above, a specified number of the sentiment expression data entered by the user are searched from the tour names stored in the tour database 901. This search number may be fixed by the WWW tour search device, or may be input by the user in the search condition input unit 101. As shown in FIG. 12, the tour database 901 stores, with respect to the sentiment expression data converted in step 1102, what feature amount the tour has in association with the tour name. In order to search for a tour that matches the emotion expression data input by the user, a search is performed using the same method as the comparison method using distance in step 303 of the first embodiment of the present invention. In this way, a specified number of tours are searched.

In step 1104, step 1103
By using the feature amount of the sentiment expression data associated with the tour searched in the above, the URL stored in the URL database 903 and the one that was in the sentiment expression data input by the user was designated for each tour. Search by number. This search number may be fixed by the WWW tour search device, or may be input by the user in the search condition input unit 101. The URL database 903 stores data in the same format as the sentiment database 103 according to the first embodiment of the present invention. In order to search for a tour that matches the emotion expression data input by the user, a search is performed using the same method as the comparison method using distance in step 303 of the first embodiment of the present invention. In this way, a specified number of URLs are searched for each tour.

In step 1105, step 1103
The tour name retrieved in step 1104 and the URL retrieved in step 1104 are displayed on the tour output unit 905. An example of the display is as shown in FIG.

(Embodiment 3) Next, a third embodiment of the present invention will be described with reference to the drawings. A WWW tour search device is shown as an information search device according to a third embodiment of the present invention. FIG. 14 shows a WW according to the third embodiment of the present invention.
It is a system configuration diagram of a W tour search device. FIG.
Since the same components as those in the system configuration of the second embodiment of the invention shown in FIG. 9 are included, the same reference numerals are given to the same components, and description thereof will be omitted. Only different components will be described. Reference numeral 1401 denotes a tour selection processing unit that receives selection of a tour output to the tour output unit 905; 1402, an information acquisition process unit that obtains information existing in a URL included in the selected tour and displays the information on the tour output unit 905. is there.

The above-mentioned tour selection processing section 140
Reference numeral 1 corresponds to the information classification and selection means of the present invention, and the information acquisition processing unit 1402 corresponds to the information acquisition and display means of the present invention. FIG. 1 shows the hardware configuration of the system configured as described above.
It is shown in FIG. Since the hardware configuration of FIG. 15 includes the system configuration shown in FIG. 13 and the hardware configuration of the second embodiment of the invention shown in FIG. 10, the same components are denoted by the same reference numerals and description thereof is omitted. Only the different parts will be described. A communication unit 1501 communicates with a computer such as a WWW server connected via a network.

The operation of the WWW tour search device configured as described above will be described with reference to the flowchart of FIG. Steps 1601 to 1605 perform the same processing as steps 1101 to 1105 of the second embodiment of the present invention.

In step 1606, step 1605
The user selects the tour displayed on the tour output unit 905 in the search condition input unit 101. The tour is selected using a mouse or the like.

In step 1607, step 1606
The communication device 1501 communicates with the WWW server existing at the address of the URL included in the tour selected in the step (a) to acquire information. The acquired information is displayed on the tour output unit 905. A display example as shown in FIG. 17 is conceivable. In that case, a GUI (Graphical User Inte
(rface) 1701 is displayed, an input is performed using a mouse or the like, and the order of displayed information 1702 is controlled.

(Embodiment 4) Next, a fourth embodiment of the invention will be described with reference to the drawings. Fourth Embodiment of the Present Invention
A WWW tour search device is shown as an information search device according to the embodiment. FIG. 18 is a system configuration diagram of a WWW search device according to a fourth embodiment of the present invention. FIG.
Includes the same components as those of the system configuration of the second embodiment of the invention shown in FIG. 9, and therefore, the same reference numerals are given to the same components, and description thereof will be omitted. Only different components will be described. 1801
In order to search the URL with independent kansei expression data different from the one converted by the feature amount conversion processing unit 102, the tour selected by the tour selection processing unit 902 is characterized by the independent kansei expression data and the feature amount. A tour database for URL search which stores the re-named tour name, and 1802 is a tour database for URL search 18
01 is a URL database that stores the same sentiment expression data as used in No. 01 and a URL that associates a feature amount with the sentiment expression data.

The above URL search tour database 1801 corresponds to an information address search information classification and storage unit, and the URL database 1802 corresponds to an information address storage unit.

FIG. 19 shows the hardware configuration of the system configured as described above. Since the hardware configuration of FIG. 19 includes the system configuration portion shown in FIG. 18 and the hardware configuration portion of the second embodiment of the invention shown in FIG. 10, the same components are denoted by the same reference numerals and will not be described. Omitted.

The operation of the WWW tour search device configured as described above will be described with reference to the flowchart of FIG. Steps 2001 to 2003 perform the same processing as steps 1101 to 1103 of the second embodiment of the present invention.

In step 2004, step 1103
In order to search for the URL associated with the sentiment expression data close to the sentiment expression data associated with the tour searched by using the independent sentiment expression data different from that converted in step 1102, a URL search is performed. The sentiment expression data of the tour and its feature amount are searched from the tour database 1801. The URL search tour database 1801 includes, as shown in FIG.
For independent sensation expression data different from that converted in 02, what kind of feature amount the tour has is stored in association with the tour name.

In step 2005, step 2004
U is stored in the URL database 1802 using the sentiment expression data of the tour and the feature amount searched for in
Search the RL for the number specified for each tour. The number of searches may be fixed by the WWW tour search device, or may be input by the user at the search condition input unit. U
As shown in FIG. 22, the RL database 903
In the RL search tour database 1801, what kind of feature amount the URL has for the sentiment expression data is stored in association with the URL. The URL search is performed using the same method as the comparison method using the distance in step 303 of the first embodiment of the present invention. In this way, a specified number of URLs are searched for each tour.

In step 2006, step 2003
The tour name and the URL searched in step 2005 are displayed on the tour output unit 905. (Embodiment 5) Next, a fifth embodiment of the invention will be described with reference to the drawings.

A WWW tour search device is shown as an information search device according to the fifth embodiment of the present invention. FIG. 23 is a system configuration diagram of a WWW search device according to a fifth embodiment of the present invention. FIG. 23 includes the same components as those of the system configuration of the first embodiment of the invention shown in FIG. 1, and therefore, the same reference numerals are given to the same components and the description thereof will be omitted, and only different components will be described. A user model input unit 2301 receives a user model input from the user, and 2302 associates the user model with the same kansei expression data as those used in the feature amount conversion processing unit 102 and the feature amounts for the kansei expression data. This is a URL database that stores the URL.

It should be noted that the above user model input unit 2301
Corresponds to a user model input unit of the present invention, and the URL database 2302 corresponds to an information address storage device. FIG. 24 shows a hardware configuration in which the system configured as described above is executed. The hardware configuration shown in FIG. 24 includes the system configuration shown in FIG. 23 and the hardware configuration of the first embodiment of the invention shown in FIG. Omitted.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In step 2501, the user model input unit 230
In step 1, an input of a user model is received from a user. The input of the user model is performed using, for example, a mouse on the screen shown in FIG. The user may select a model suitable for himself or another model. In steps 2502 and 2503,
Each performs the same processing as steps 301 and 302 of the first embodiment of the invention.

In step 2504, step 2501
The user model input by the user and the sentiment expression are converted from the URL stored in the URL database 2302 using the user model input in step 2503 and the sentiment expression data converted in step 2503 and the feature amount thereof. Searches for the specified number of occurrences. The number of searches may be fixed by the WWW search device or may be input by the user at the search condition input unit. As shown in FIG. 27, the URL database 2302 stores, in the user model shown on the screen in step 2501 and the sentiment expression data converted in step 2503, what kind of feature amount the URL has
It is stored in association with the RL. In order to search for a user model input by the user and a URL that matches the emotional expression, first, a URL that matches the user model input in step 2501 is set as a search target, and step 303 in the first embodiment of the present invention is performed. The search is performed using the same method as the comparison method using the distance in. In this way, U
A specified number of RLs are searched. Note that the URL database does not store the user model as shown in FIG. 27, but stores personal attributes such as target age, gender, and hobbies and preferences.
Step 3 is to use the user model input in step 2501 at the time of search and converted to the attributes of those individuals.
The search may be performed by the same method as the comparison method using the distance in 03.

In step 2505, step 2506 is executed.
Is displayed on the URL output unit 105. (Embodiment 6) Next, a sixth embodiment of the invention will be described with reference to the drawings.

A WWW tour search device is shown as an information search device according to the sixth embodiment of the present invention. FIG. 28 is a system configuration diagram of a WWW search device according to the sixth embodiment of the present invention. FIG. 28 shows the fifth embodiment of the invention shown in FIG.
Since it includes the same components as the system configuration of the embodiment,
The same parts are given the same numbers and their explanation is omitted, and only different parts will be explained. 2801 is the URL database 230
URL database update unit for inputting a URL to 2, 28
Reference numeral 02 denotes a URL feature amount correction processing unit that corrects a difference in sensitivity between a plurality of URL input users and a representative input user.
Reference numeral 803 denotes an input user sensitivity correction value database that stores a feature amount of sensitivity expression data for correcting a difference in sensitivity between each URL and the representative input user.

The above URL database update unit 2
Reference numeral 801 corresponds to the information address input unit of the present invention, the URL feature amount correction processing unit 2802 corresponds to the information address attribute value correction unit, and the input user sensitivity correction value database 2803 corresponds to the input user attribute correction value storage unit.

FIG. 29 shows a hardware configuration in which the system configured as described above is executed. The hardware configuration shown in FIG. 29 is different from the system configuration shown in FIG.
Since the fifth embodiment of the present invention comprises the hardware components, the same components are denoted by the same reference numerals and description thereof will be omitted.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In step 3001, it is determined whether to perform a search or to add a URL to the URL database 2302. The process proceeds to step 3005 in the case of retrieval, and proceeds to step 3002 in the case of URL addition.

In step 3002, an input of a URL to be added to the URL database 2302 is accepted. With respect to the URL to be added, the input user must input -100 to 10 for the emotion expression data used in the feature value conversion process.
An integer of 0 is input according to the sensitivity of the input user. For example, FIG.
As shown in (1), a sensitivity value is assigned to the URL to be added.

In step 3003, step 3002
With respect to the kansei value of the URL input by the user, a correction value for correcting the difference in kansei between the input user and the representative input user is searched from the input user kansei correction value database 2803. The input user sensitivity correction value database 2803 stores, as shown in FIG. 32, a correction value for each sensitivity expression data representing a difference in sensitivity between each input user and the representative input user. For example, when the input person is “Miura-san”, a correction value (fun = 10, freshness = 5) for each attribute word is searched.

In step 3004, step 3003
The correction value for each attribute word searched in step
The correction is performed by adding to the feature amount of the emotional expression data associated with the URL input at 02 and added to the URL database 2302. By doing this, U
The feature amount of the emotion expression data associated with the URL added to the RL database 2302 is characterized by the sensitivity of the representative without depending on the input person.

In steps 3005 to 3009, steps 2501 to 250 in the fifth embodiment of the present invention are performed.
The same processing as in step 5 is performed. (Embodiment 7) Next, a seventh embodiment of the invention will be described with reference to the drawings.

A WWW tour search device is shown as an information search device according to the seventh embodiment of the present invention. FIG. 33 is a system configuration diagram of a WWW search device according to the seventh embodiment of the present invention. FIG. 33 shows a fifth embodiment of the invention shown in FIG.
Since it includes the same components as the system configuration of the embodiment,
The same parts are given the same numbers and their explanation is omitted, and only different parts will be explained. 3301 is a user model input unit 23
A user model sensitivity correction value database 330 for storing a feature amount of emotion expression data for correcting a difference in sensitivity between the user model input at 01 and the URL input user;
Reference numeral 2 denotes a URL database 230 using the correction values stored in the user model sensitivity correction value database 3301.
A URL feature value correction processing unit 3303 that corrects the feature value of the kansei expression data of the URL stored in 2, based on the sensibility expression data converted by the feature value conversion processing unit 102 and the feature value, performs URL feature value correction. A URL search processing unit that searches for a URL that matches the user model and emotional expression selected by the user from the URLs having the feature amounts corrected by the process unit 3302.

The user model sensitivity correction value database 3301 is used as the user model attribute correction value storage means of the present invention, the URL feature correction processing section 3302 is used as the information address attribute value correction means, and the URL search processing section 33 is used.
03 corresponds to information address search means.

FIG. 34 shows a hardware configuration in which the system configured as described above is executed. The hardware configuration shown in FIG. 34 is the same as the system configuration shown in FIG.
Since the fifth embodiment of the present invention comprises the hardware components, the same components are denoted by the same reference numerals and description thereof will be omitted.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In steps 3501 to 3503, the same processing as steps 2501 to 2503 of the fifth embodiment of the invention is performed.

In step 3504, step 3501
For the user model input in step (1), a correction value for correcting a difference in sensitivity between the user and the URL input user is searched from the user model sensitivity correction value database 3301. The user model affective correction value database 3301 stores correction values for each affective expression data representing a difference in sensitivity to a URL input user for each user model as shown in FIG. For example, when the user model selected by the user is “Otosan” and the number of the search axis is 1, a correction value (fun = 10, newness = 5) for each attribute word is searched.

In step 3505, step 3501
The user model input by the user and the sentiment expression from the URL stored in the URL database 2302 using the user model input in step 3503 and the sentiment expression data converted in step 3503 and the feature amount thereof. Searches for the specified number of occurrences. The number of searches may be fixed by the WWW search device or may be input by the user at the search condition input unit. Step 35: To search for a URL that matches the user model input by the user and the emotional expression
04 is corrected by adding the correction value for each attribute word searched in 04 to the feature amount of the kansei expression data of the URL stored in the URL database 2302, and
The search is performed using the same method as the comparison method using the distance in step 303 of the embodiment. In this way, a specified number of URLs are searched. In this case, since the user model has already been corrected, the user model associated with the URL has no meaning and is not used for the search. By doing so, it is possible to attach the feature amount of the kansei expression data of the URL suitable for each user model to the URL stored in the URL database 2302 without preparing a URL input user suitable for each user model. .

In step 3506, step 3505
Is displayed on the URL output unit 105. (Eighth Embodiment of the Invention) Next, an eighth embodiment of the invention will be described with reference to the drawings.

A WWW tour search device is shown as an information search device according to the eighth embodiment of the present invention. FIG. 37 is a system configuration diagram of a WWW search device according to the eighth embodiment of the present invention. FIG. 37 includes the same components as those of the system configuration of the first embodiment of the invention shown in FIG. 1, and therefore, the same reference numerals are given to the same components, and description thereof will be omitted. Only different components will be described. Reference numeral 3701 denotes a user identifier input unit into which a user inputs an identifier, and 3702 denotes a sentiment database 10.
The search history database 3703 stores the identifier of the user who searched the URL for each URL stored in the search history 3, and the search history 3703 is converted by the search history and the feature amount conversion processing unit 102 stored in the search history database 3702. Using the sentiment expression data and its feature amount, the output of the URL corresponding to the sentiment expression input by the user is controlled based on the past search history data. For example, a control for preferentially outputting a URL that has never been searched in the past to the same user, a URL previously output to the same user in the past
Is a control that does not output from the second time.

The above-mentioned user identifier input section 3701
Denotes a user identifier input unit of the present invention, the search history database 3702 corresponds to a search history storage unit, and the URL search processing unit 3703 corresponds to an information address search unit.

FIG. 38 shows a hardware configuration in which the system configured as described above is executed. Since the hardware configuration in FIG. 38 includes the system configuration portion shown in FIG. 37 and the hardware configuration portion of the first embodiment of the invention shown in FIG. 2, the same components are denoted by the same reference numerals and will not be described. Omitted.

The operation of the WWW search device configured as described above will be described with reference to the flowchart of FIG. In step 3901, the user identifier input unit 370
In step 1, an input of a user identifier is received from a user. The input of the user identifier may be input by a keyboard, or may be input by selecting an identifier registered in advance using a mouse or the like.

In steps 3902 to 3904, the same processing as in steps 301 to 303 of the first embodiment of the present invention is performed. In step 3905, step 3
For the URL searched in 904, step 39
Using the user identifier input at 01, it is determined whether or not the search has been performed once. For the determination, the search history database 3702 is searched using the user identifier. In the search history database 3702, for example, as shown in FIG. 40, the identifier of the searched user is stored for each URL stored in the emotion database 103. As a result of the search in the search history database 3702, if it is found that the search has been performed once, the process returns to the step 3904 to search for the next URL. Although the user name is used as the user identifier in the example of FIG. 40, any user can be used as long as the user can be uniquely identified.

In step 3906, step 3905
Then, the search history database 3702 registers that the URL has not been searched so far. To this end, the search history database 3905 is passed to the search history database with the user identifier input in step 3901 and the URL obtained in step 3905. In the search history database, a user identifier is added to the URL. In this way, the URL once searched is stored.

In step 3907, step 3906
Is displayed on the URL output unit 105.
In the eighth embodiment of the present invention, the URL and the UR
Although the L search histories are separately stored in the two databases, the sensitivity database 103 and the search history database 3702, these may be stored in one database.

(Embodiment 9) Next, a ninth embodiment of the invention will be described with reference to the drawings. The ninth aspect of the present invention
A WWW tour search device is shown as an information search device according to the embodiment. FIG. 41 is a system configuration diagram of a WWW search device according to a ninth embodiment of the present invention. FIG.
Includes the same components as those of the system configuration of the first embodiment of the invention shown in FIG. 1, and therefore, the same reference numerals are given to the same components, and description thereof will be omitted. Only different components will be described. 4101
Are URLs stored in the sensitivity database 103
, A search frequency database 4102 storing the frequency of searching the URL, and 4102 a search frequency database 41.
01 and the search frequency and feature quantity conversion processing unit 10
2 is a URL search processing unit that searches for URLs with high search frequencies that match the emotional expression input by the user, using the emotional expression data converted by step 2 and its feature amount.

The above search frequency database 410
Reference numeral 1 denotes a URL in the information address search frequency accumulating means of the present invention.
The search processing unit 4102 corresponds to an information address search unit.

FIG. 42 shows a hardware configuration in which the system configured as described above is executed. Since the hardware configuration of FIG. 42 includes the system configuration portion shown in FIG. 41 and the hardware configuration portion of the first embodiment of the invention shown in FIG. 2, the same components are denoted by the same reference numerals and will not be described. Omitted.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In steps 4301 and 4302, the same processes as those in steps 301 and 302 of the first embodiment of the invention are performed, respectively.

In step 4303, URLs are searched from the search frequency database 4101 in descending order of search frequency. In the search frequency database 4101, FIG.
As shown in (1), data in which the search frequency is associated with the URL stored in the emotion database 103 is stored, and the order is sorted by the search frequency. In this step, the URLs sorted by the search frequency as shown in FIG. 44 are sequentially extracted from the top.

In step 4304, step 4302
In step 4303, it is determined whether the URL extracted from the search frequency database 4101 matches the sentiment expression input by the user, using the set of the sentiment expression data and the feature amount converted in step (1). Similar to the first embodiment of the present invention, the emotion database 103 stores, in association with the URL, what feature amount the URL has for the emotion expression data converted in step 4302. In order to determine whether the URL matches the emotional expression entered by the user,
The feature amount of the emotion expression data converted in step 4302 is regarded as a point on the n-dimensional space, and it is determined whether or not the distance to the point is smaller than a specified determination value. For example, what is converted in step 4302 is (fun = 2)
0), (newness = 30) and the judgment value is k,
The two-dimensional distance between (a, b) and (20, 30) is calculated for the value "a" of "fun" and the value "b" of "newness" of each URL data existing in the sensitivity database 103. Then, it is compared with the judgment value k. Thus, step 4303
It is determined whether or not the URL extracted in step 2 is close to the emotional expression input by the user. If the URL is close to the emotional expression input by the user, that is, if the URL is smaller than the determination value, the process proceeds to step 4305; otherwise, the process proceeds to step 4303.
Then, the URL having the highest search frequency is extracted from the search frequency database 4101.

In step 4305, step 4304
URL determined to be close to the emotional expression entered by the user
Inform the search frequency database 3702 that the search has been performed. In the search frequency database, the search frequency is incremented by one for the notified URL, and the search frequency is sorted.

In step 4306, step 4304
URL determined to be close to the emotional expression entered by the user
Is displayed on the URL output unit 105. In the ninth embodiment of the present invention, the URL and the search frequency of the URL are stored separately in the two databases, the sensitivity database 103 and the search frequency database 4101. However, these may be stored in one database. .

(Embodiment 10) Next, the first embodiment of the present invention
Embodiment 0 will be described with reference to the drawings. As an information retrieval apparatus according to the tenth embodiment of the present invention, WWW
1 shows a search device. FIG. 45 is a system configuration diagram of a WWW search device according to the tenth embodiment of the present invention. FIG.
Includes the same components as those of the system configuration of the first embodiment of the invention shown in FIG. 1, and therefore, the same reference numerals are given to the same components, and description thereof will be omitted. Only different components will be described. 4501
Is a search date and time input unit that receives an input of a search date and time from a user; 4502 is a timer process unit that starts a URL search process unit when the date and time input by the search date and time input unit; and 4503 is started by the timer process unit 4502. And a URL search processing unit for searching a sentiment database for a URL based on the sentiment expression data converted by the feature amount conversion processing unit 102 and the feature amount.
Reference numeral 504 denotes the U retrieved by the URL retrieval processing unit 4503
The search result storage unit 4505 for storing the RL is a URL for displaying the search result stored in the search result storage unit 4504.
Output unit.

The search date / time input unit 4501 is used as a search date / time input unit of the present invention,
Denotes a timer processing unit, the URL search processing unit 4503 corresponds to an information address search unit, the search result storage unit 4504 corresponds to a search result storage unit, and the URL output unit 4505 corresponds to a search information display unit.

FIG. 46 shows a hardware configuration in which the system configured as described above is executed. Since the hardware configuration in FIG. 46 includes the system configuration portion shown in FIG. 45 and the hardware configuration portion of the first embodiment of the invention shown in FIG. 2, the same components are denoted by the same reference numerals and will not be described. Omitted.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In step 4701, it is determined whether to perform a search specifying a date and time or to display a URL searched in advance. In the case of a search, the process proceeds to step 4702,
If the display is L, the process proceeds to step 4708.

At step 4702, the search date / time input unit 4
In 501, the user receives an input of a date and time for performing a search. The search date and time may be input from a keyboard, or the date and time may be selected using a GUI and a mouse.

Step 4703 and Step 4704
Now, respectively, step 30 of the first embodiment of the invention
The same processing as 1 and 302 is performed. Step 4705
Then, the search date and time input in step 4701 are compared with the current date and time. If they match, the process proceeds to step 4706; otherwise, step 4705 is repeated.

In step 4706, the same processing as in step 303 of the first embodiment of the present invention is performed. Step 4
In step 707, the URL searched in step 4706 is written and stored in the search result storage unit 4504.

In step 4708, step 4707
The search result written in the search result storage unit 4504 in U
This is displayed on the RL output unit 4505. (Embodiment 11) Next, an eleventh embodiment of the invention will be described with reference to the drawings.

A WWW search device is shown as an information search device according to the eleventh embodiment of the present invention. FIG. 48 is a system configuration diagram of a WWW search device according to an eleventh embodiment of the present invention. FIG. 48 is a view showing a tenth embodiment of the invention shown in FIG.
Since it includes the same components as the system configuration of the embodiment,
The same parts are given the same numbers and their explanation is omitted, and only different parts will be explained. Reference numeral 4801 denotes an information acquisition process unit that acquires information existing in the URL retrieved by the URL retrieval process unit, 4802 denotes a search information storage unit that stores information acquired by the information acquisition process unit 4801, and 4803 denotes:
A search information display unit 4804 for displaying information stored in the search information storage unit 4802 while automatically sending the information in order,
This is a progress control process unit that controls the automatic feed display of the search information display unit 4803.

Note that the above information acquisition processing section 4801
Represents the information acquisition unit of the present invention, the search information storage unit 4802 corresponds to the search information storage unit, the search information display unit 4803 corresponds to the search information display unit, and the progress control process unit 4804 corresponds to the progress control unit.

FIG. 49 shows a hardware configuration in which the system configured as described above is executed. The hardware configuration of FIG. 49 is the same as that of the system configuration shown in FIG.
Therefore, the same components are denoted by the same reference numerals and the description thereof will be omitted, and only different components will be described. Reference numeral 4901 denotes communication means for communicating with a computer connected via a network.

The operation of the WWW search apparatus configured as described above will be described with reference to the flowchart of FIG. In step 5001, it is determined whether to perform a search specifying a date and time or to display information searched in advance. The process proceeds to step 5002 in the case of search, and to step 5009 in the case of information display.

In steps 5002 to 5006, the same processing as in steps 4702 to 4706 of the tenth embodiment of the present invention is performed. In step 5007, for each URL searched in step 5006,
It communicates with the computer at the address using the communication device 4901 to acquire information.

In step 5008, step 5007
Is stored in the search information storage unit 4802.
In step 5009, the information stored in the search information storage unit 4802 is displayed while being automatically sent to the search information display unit 4803 in order. A display example as shown in 5101 in FIG. 51 can be considered. In that case, a GUI 5102 imitating a controller is displayed, and input is performed using a mouse or the like to control automatic feeding. For example, button 510
When 3 is pressed, the automatic feed stops temporarily, and then button 5
Pressing 104 resumes automatic feeding. If the button 5105 is pressed while the automatic feed is stopped, the reverse feed is performed.

In this way, the display is performed while automatically sending the information searched for by setting the search date and time. In all the embodiments described above, the tour and URL search processing are performed on a search database server on a network, various inputs and outputs are performed on a search client, and communication is performed between the search database server and the search client. A client-server type system that performs a search process may be used.

In all the embodiments described above, the search for the tour and the URL is performed by calculating the distance using the feature amount of the sensibility expression data.
Neural networks or fuzzy inference may be used.

In all the embodiments described above, each component may be configured as software or as dedicated hardware.

[0100]

As described above, according to the information retrieval apparatus of the present invention, emotion expression data can be used as a retrieval keyword. This allows users to perform flexible searches,
Even if you do not clearly understand the information you need, you can perform a fuzzy search, reduce the complexity of searching for users, and search for information addresses such as URLs and information that match the user's sensitivity. Can be. Further, it is possible to output an information class that matches the sensitivity of the user and an information address in the class, for example, a tour information class and information such as tour information and a URL thereof in the class. When there are a plurality of information classifications, the user can select the information classification, and it is possible to narrow down the search efficiently.

If the user designates information desired to be viewed among the output information addresses, the designated information can be obtained from the information processing organization at the address via the communication means and output. For example, in the WWW, information specified by the WWW server at the address indicated by the URL can be displayed via the Internet.

The range of search can be further expanded by using the sentiment expressions assigned to the information classification searched by the sentiment expressions input by the searcher, and the URL can be searched at a more detailed level. The user does not need to perform complicated input, and can perform a fine-grained search even with simple sentiment expression data input. Also, by using the user model for the search, it is possible to perform a search that is more suitable for the user's age, gender, hobbies and preferences. Also, by inputting user identifiers, search output control according to the search history can be performed for each user identifier,
Detailed services can be provided.

When constructing a sentiment database, an information address database, and the like, it is possible to determine the characteristic amount of sentiment expression data to be associated with an information address that does not depend on the characteristics of the input user. Thereby, the quality of the information search result can be improved.

By searching the information address and acquiring the information at the information address in a batch process, it is possible to automatically view the search result when it is desired to view the search result. For example, in the WWW, a URL search and corresponding information can be downloaded from a WWW server indicated by the URL based on the search result, and the user can automatically view the information on a monitor when he / she wants to see it.

[Brief description of the drawings]

FIG. 1 is a system configuration diagram of a WWW search device according to a first embodiment of the present invention.

FIG. 2 is a hardware configuration diagram of a WWW search device according to the first embodiment of the present invention.

FIG. 3 is a flowchart showing an operation procedure of the WWW search device according to the first embodiment of the present invention.

FIG. 4 is a search condition input screen according to the first embodiment of the present invention.

FIG. 5 is a correspondence table between plane numbers and sensibility expression data according to the first embodiment of the present invention.

FIG. 6 is a correspondence table between picture numbers, sensibility expression data, and feature amounts according to the first embodiment of the present invention.

FIG. 7 is an example of data stored in a sensitivity database according to the first embodiment of the present invention.

FIG. 8 is an example of a search result display screen according to the first embodiment of the present invention.

FIG. 9 is a system configuration diagram of a WWW tour search device according to a second embodiment of the present invention.

FIG. 10 is a hardware configuration diagram according to a second embodiment of the present invention.

FIG. 11 is a flowchart showing an operation procedure of the WWW tour search device according to the second embodiment of the present invention.

FIG. 12 shows an example of data stored in a tour database according to the second embodiment of the present invention.

FIG. 13 is a screen display example of a search result according to the second embodiment of the present invention.

FIG. 14 is a system configuration diagram of a WWW tour search device according to a third embodiment of the present invention.

FIG. 15 is a hardware configuration diagram according to a third embodiment of the present invention.

FIG. 16 is a flowchart showing an operation procedure of the WWW tour search device according to the third embodiment of the present invention.

FIG. 17 shows a search result display example according to the third embodiment of the present invention.

FIG. 18 is a system configuration diagram of a WWW tour search device according to a fourth embodiment of the present invention.

FIG. 19 is a hardware configuration diagram according to a fourth embodiment of the present invention.

FIG. 20 is a flowchart showing an operation procedure of the WWW tour search device according to the fourth embodiment of the present invention.

FIG. 21 shows an example of data stored in a URL search tour database according to the fourth embodiment of the present invention.

FIG. 22 shows an example of data stored in a URL database according to the fourth embodiment of the present invention.

FIG. 23 is a system configuration diagram of a WWW search device according to a fifth embodiment of the present invention.

FIG. 24 is an example of a hardware configuration according to a fifth embodiment of the present invention.

FIG. 25 is a flowchart showing an operation procedure of a WWW search device according to a fifth embodiment of the present invention.

FIG. 26 shows an example of a user model input screen according to the fifth embodiment of the present invention.

FIG. 27 shows an example of data stored in a URL database according to the fifth embodiment of the present invention.

FIG. 28 is a system configuration diagram of a WWW search device according to a sixth embodiment of the present invention.

FIG. 29 is a hardware configuration diagram according to a sixth embodiment of the present invention.

FIG. 30 is a flowchart showing an operation procedure of the WWW search device according to the sixth embodiment of the present invention.

FIG. 31 shows an example of data to be added to a URL database according to the sixth embodiment of the present invention.

FIG. 32 shows an example of data stored in an input user sensitivity correction value database according to the sixth embodiment of the present invention.

FIG. 33 is a system configuration diagram of a WWW search device according to a seventh embodiment of the present invention.

FIG. 34 is a hardware configuration diagram according to a seventh embodiment of the present invention.

FIG. 35 is a flowchart showing an operation procedure of the WWW search device according to the seventh embodiment of the present invention.

FIG. 36 shows an example of data stored in a user model sensitivity correction value database according to the seventh embodiment of the present invention.

FIG. 37 is a system configuration diagram of a WWW search device according to an eighth embodiment of the present invention.

FIG. 38 is a hardware configuration diagram according to an eighth embodiment of the present invention.

FIG. 39 is a flowchart showing an operation procedure of the WWW search device according to the eighth embodiment of the present invention.

FIG. 40 is an example of data stored in a search history database according to the eighth embodiment of the present invention.

FIG. 41 is a system configuration diagram of a WWW search device according to a ninth embodiment of the present invention.

FIG. 42 is a hardware configuration diagram according to a ninth embodiment of the present invention.

FIG. 43 is a flowchart showing an operation procedure of the WWW search device according to the ninth embodiment of the present invention.

FIG. 44 shows an example of data stored in a search frequency database according to the ninth embodiment of the present invention.

FIG. 45 is a system configuration diagram of a WWW search device according to a tenth embodiment of the present invention.

FIG. 46 is a hardware configuration diagram according to a tenth embodiment of the present invention.

FIG. 47 is a flowchart showing an operation procedure of the WWW search device according to the tenth embodiment of the present invention.

FIG. 48 is a system configuration diagram of a WWW search device according to an eleventh embodiment of the present invention.

FIG. 49 is a hardware configuration diagram according to an eleventh embodiment of the present invention.

FIG. 50 is a flowchart showing an operation procedure of the WWW search device according to the eleventh embodiment of the present invention.

FIG. 51 is a display example of a search result according to the eleventh embodiment of the present invention;

[Description of sign]

 101 search condition input unit 102 feature amount conversion processing unit 103 sentiment database 104 URL search processing unit 105 URL output unit 201 VRAM 202 main storage device 203 external storage device 204 CPU 901 tour database 902 tour search processing unit 903 URL database 904 URL search process Unit 905 tour output unit 1401 tour selection process unit 1402 information acquisition process unit 1501 communication device 1801 URL search tour database 1802 URL database 2301 user model input unit 2302 URL database 2801 URL database update unit 2802 URL feature amount correction process unit 2803 User sensitivity correction value database 3301 User model sensitivity correction value database 3302 UR Feature amount correction process unit 3303 URL search process unit 3701 User identifier input unit 3702 Search history database 3703 URL search process unit 4101 Search frequency database 4102 URL search process unit 4501 Search date and time input unit 4502 Timer process unit 4503 URL search process unit 4504 Search Result storage unit 4505 URL output unit 4801 Information acquisition process unit 4802 Search information storage unit 4803 Search information display unit 4804 Progress control process unit

Continued on the front page (72) Inventor Takeshi Imana 1006 Kazuma Kadoma, Kadoma City, Osaka Prefecture

Claims (13)

[Claims] 1. Kansei expression data input means for inputting sentiment expression data, and feature amount conversion means for characterizing the sentiment expression data input by the sentiment expression data input unit with a sentiment expression attribute sequence and converting it into a feature amount. An information address storage unit for storing an information address indicating the location of the information in association with the feature amount converted by the feature amount conversion unit; and a feature stored in the information address storage unit in association with the information address. Information address search means for searching for an information address having a feature value having a similar value by comparing the amount with the feature value converted by the feature value conversion means from the sentiment expression data input by the sentiment expression data input means; Search information display means for displaying the information address searched by the information address search means. By inputting sensibility representation data, the information retrieval apparatus and outputs the information address appropriate to the sensitivity expressed. 2. A sentiment expression data input unit for inputting sentiment expression data, and a feature amount conversion unit for characterizing sentiment expression data input by the sentiment expression data input unit with a sentiment expression attribute sequence and converting the sentiment expression data into a feature amount. An information classification storage unit that stores an information class representing the classification to which the information belongs in association with the feature amount converted by the feature amount conversion unit, and converts an information address indicating the location of the information by the feature amount conversion unit. Information address storage means for storing in association with the extracted feature amount of each attribute; and sentiment expression data input by the sentiment expression data input means for storing the feature amount stored in association with the information classification in the information classification storage means. Search for an information class having a feature value that is close to the value by comparing with the feature value converted by the feature value conversion means. Comparing the feature quantity stored in association with the information address in the information address storage means with the feature quantity of the information classification searched by the information classification search means, thereby obtaining a similar value. An information address search means for searching for the information address having the characteristic amount; and a search information display means for displaying the information classification searched by the information classification search means and the information address searched by the information address search means. An information retrieval apparatus characterized in that, by inputting sentiment expression data, an information classification suitable for the sentiment expression and an information address belonging to the classification are output. 3. An apparatus according to claim 1, further comprising: an information category selection unit for selecting an information category when there are a plurality of information categories displayed by said information display unit; The information search device according to claim 2, wherein the information can be narrowed down. 4. An information display designating means for designating display of information for an information class or information address displayed by a search information display means as the search result, and an information address or display belonging to the information category designated for display. 3. The information search device according to claim 1, further comprising: an obtained information display unit that obtains information existing at a designated information address and displays the obtained information on the search information display unit. 5. A sentiment expression data input unit for inputting sentiment expression data, and a feature amount conversion unit for characterizing the sentiment expression data input by the sentiment expression data input unit with a sentiment expression attribute sequence and converting the data into feature amounts. An information classification storage unit that stores an information classification representing the classification to which the information belongs in association with the feature amount converted by the feature amount conversion unit; and an attribute series of the emotional expression used by the information classification storage unit. Feature amount conversion means for having an attribute sequence based on a sentiment expression of an information address, characterizing sentiment expression data with the independent sentiment expression attribute sequence, and converting it into a feature amount;
An information address storage unit for storing the information address in association with the feature amount converted by the feature amount conversion unit; and an information class storage unit having the same attribute series as that associated with the information address by the information address storage unit. A feature amount converting means for characterizing the sentiment expression data for the information classification stored in the information processing unit with the independent sentiment expression attribute sequence, and converting the information classification into the feature amount; An information classifying / accumulating means for information address search for accumulating in association with a feature quantity; and a feature quantity stored in association with the information category in the information classifying / accumulating means from the emotion expression data input by the emotion expression data input means. By comparing with the feature value converted by the feature value conversion means, An information classification search unit for searching for a report classification; and a characteristic amount stored in association with the information classification searched by the information classification search unit for the characteristic amount stored in association with the information classification for information address search. The information address search information classification search means for searching for an information class for information address search having a feature quantity close to the value by comparing with the information quantity stored in the information address storage means. Is compared with the feature amount of the searched information class for information address search,
Information address search means for searching for the information address having a feature value having a similar value; search information display means for displaying the information classification searched by the information classification search means and the information address searched by the information address search means; And inputting the sentiment expression data to output an information classification belonging to the information classification suitable for the sentiment expression and an information class for information address search suited to the sentiment expression possessed by the information classification. Information retrieval device. 6. A user model input means for inputting a user model, wherein the user model is stored in association with the feature amount, and the stored model is stored in the search in addition to the search using the feature amount. Means for performing a search for comparing the user model with the input user model, and inputting the user model in addition to the kansei expression data, thereby searching for information more suitable for the sensibility of the searcher. The information retrieval device according to claim 1, 2, 4, or 5. 7. An information address input means for storing an information address in the information address storage means, and an information address standard input to an input person who inputs emotion expression data to be associated with the input information address. Address attribute value correcting means for setting a user and correcting a difference in sensitivity between an input user and a standard input user using a relative value for each attribute series having an information address, and the information address attribute value correcting means. 6. The information according to claim 1, further comprising an input user attribute correction value storage unit that stores a relative value, wherein the information address attribute feature is associated without depending on the sensitivity of a specific input user. Search device. 8. An information address attribute value, wherein the information address storage means corrects, for each user model, a difference in sensibility with the sensibility expression data input person using a relative value for each attribute series of the information address. Correction means and a user model attribute correction value storage means for storing a relative value used by the information address attribute value correction means, and a single input user can set a feature amount of an attribute of an information address adapted to each user model. The information retrieval device according to claim 6, which is associated with the information retrieval device. 9. A user identifier input means for inputting a user identifier, and a search history storage means for storing an information address searched once for each user identifier, and a search history for the same user. 6. The information retrieval apparatus according to claim 1, wherein an information address displayed by said retrieval information display means is controlled by using a retrieval history stored in a storage means. 10. An information address search frequency accumulating means for accumulating a search frequency for a searched information address,
10. The information address search means according to claim 1, 2, 4, 5, or 9, wherein a search for an information address having a high search frequency is preferentially performed, and an information address having a high search frequency is output with priority on the information display means. Described information retrieval device. 11. A search date and time input means for inputting a search date and time, a timer processing means for activating the information address search means at the date and time input by the search date and time input means, and the timer processing means being activated by the timer processing means. An information address search means, and a search result storage means for storing the information address searched by the information address search means, performing a search based on the previously input sentiment expression data at a designated date and time, and The information address is searched for in a batch process by storing the search result and displaying the search result stored at any time by the user.
Or the information retrieval device according to 5. 12. An information obtaining means for obtaining information existing at an information address searched by the information address searching means started by the timer processing means, and a search information for storing information obtained by the information obtaining means. A search information display means for displaying information stored in the search information storage means while automatically sending the information in order; and a progress control means for controlling the progress of the automatic sending of the search information display means. The information search apparatus according to claim 11, wherein the information searched and set by the date and time is displayed while being automatically sent. 13. The information retrieval apparatus according to claim 1, wherein said information address is a uniform resource locator of the Internet World Wide Web for the Internet World Wide Web.