JPH08249307A - Information filtering device - Google Patents

Abstract

PURPOSE: To select an information service which is adequate for a user and offer it by extracting network information which matches or partially match with action range or action pattern from network information. CONSTITUTION: The information filtering device 1 consists of action records 3, an action range and action pattern extracting means 4, an action range and an action pattern 5, network information 7, a filtering process means 8, a filtering result 9, a map generating means 10, an information display board 11, a network 12, etc. The action range and action pattern extracting means 4 extracts the action range and action pattern (statistics) 5 by totalizing the past action records 3 of the user, the filtering process means 8 extracts information which matches or partially matches with the action range and action pattern (statistics) 5 by collation from the network information 7 inputted from a network 12, and a map generating means 10 distinctively displays information on a map on the information display board 11 according to the extracted information.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention filters and extracts from information flowing on a network based on an action record.
The present invention relates to an information filtering device for displaying.

With the progress of information network technology, it is expected that the use of network information services based on information supplied via information networks will become common. An information filtering system that can be used by guessing and selecting an information service that the user may be interested in from the information services that flow on the network for 24 hours and always available can appear. Expected and expected. At this time, it is desired to realize an information filtering type information service apparatus that selects the information desired by the user from a large amount of information that flows.

[0003]

2. Description of the Related Art A conventional information service is an information retrieval type service which is started after a usage request such as mail order (TV shopping) or movie watching (video on demand).

As an example of using geographic information as a search means for information filtering, there is a device that selects an information service including geographic information required by a user from the current position of the user. It is about to be provided with a car navigation system in which a GPS is loaded on a car and presents a map of the vicinity where the vehicle is currently running to the driver, as well as to provide the current position and traffic information about the road ahead.

There is also an attempt to provide a person with GPS so as to provide a guide for walking in the city.

[0006]

In the above-mentioned conventional information provision, the former user searches for and provides desired information when there is a usage request from the former user, and the latter provides geographical information based on the current position. There is a problem in that it is impossible to extract the information desired by the user from the information that flows for 24 hours in order to provide a guide such as a store at the current position.

The present invention solves these problems.
The purpose is to perform information filtering based on the past action record of the user, the recent action record, the action schedule, etc., and selectively extract and provide the information individually requested by the user.

[0008]

[Means for Solving the Problems] Means for solving the problems will be described with reference to FIG. In FIG. 1, an information filtering device 1 filters network information flowing on a network 12 to extract information desired by a user, and includes an action record 3, an action range / action pattern extracting means 4, and an action. It is composed of a range / action pattern 5, network information 7, filtering processing means 8, filtering result 9, map creating means 10, information display board 11, network 12, and the like.

The action record 3 is a user's past, recent, or scheduled action record. The action range / action pattern extraction means 4 extracts the action range / action pattern 5 from the action record 3.

The action range / action pattern 5 is a user's past, recent, and planned action range / action pattern. The network information 7 is information obtained on the network 12.

The filtering processing means 8 extracts from the network information 7 those that match or partially match the action range / action pattern 5 and obtain a filtering result 9.

The map creating means 10 creates a map that reflects the filtering result 9 extracted on the map. The information display board 11 displays a map and the filtering result 9 on the map.

The network 12 is a network through which information flows.

[0014]

In the present invention, as shown in FIG. 1, the action range / action pattern extraction means 4 aggregates the user's past action records 3 to extract the action range / action pattern (statistics) 5, and performs filtering processing. Of the network information 7 taken in from the network 12 by the means 8, the matching and partially matching information is extracted by collating with the action range / action pattern (statistics) 5, and the map creating means 10 uses the extracted information as the basis. The information display plate 11 is displayed separately on the map.

Further, the action range / action pattern extraction means 4 collects the action records 3 of the user's latest predetermined period, extracts the action range / action pattern (prediction) 5, and the filtering processing means 8 causes the network 12 to operate. From the network information 7 taken in from the network information 7, the information that matches or partially matches the action range / action pattern (prediction) 5 is extracted, and the information display board 11 is based on the information extracted by the map creating means 10.
Are displayed separately on the map.

Further, the action range / action pattern extraction means 4 collects the action record 3 of the user's schedule, extracts the action range / action pattern (plan) 5, and the filtering processing means 8
Network information 7 imported from the network 12
Of these, the information is collated with the action range / action pattern (plan) 5 to extract information that matches or partially matches, and the map creating means 1
On the basis of the extracted information, 0 is displayed separately on the map of the information display board 11.

Further, the current position of the user is detected, and the filtering processing means 8 collates with the action range / action pattern (statistics, prediction, schedule) of the information flowing on the network 12, respectively, and matches and finds a match. The pieces of information that match each other are extracted, and the map creating means 10 distinguishes and displays each piece of extracted information on the map of the information display plate 11 centered on the current position.

Therefore, by performing information filtering based on the user's past action record, recent action record, action schedule, etc., the information individually requested by the user can be obtained from the information flowing in the network 12. It is possible to selectively extract from and display.

[0019]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, the construction and operation of an embodiment of the present invention will be sequentially described in detail with reference to FIGS.

FIG. 1 shows a block diagram of an embodiment of the present invention.
In FIG. 1, an information filtering device 1 is a device for filtering network information flowing in a network to extract information desired by a user and displaying it on an information display board 11 by using a data input / output unit 2, an action record. 3,
Action range / action pattern extraction means 4, action range / action pattern 5, network communication means 6, network information 7,
The filtering processing unit 8, the filtering result 9, the map creating unit 10, the information display board 11, and the like are included.

The data input / output means 2 is for taking in the action record of the user from the outside. The action record 3 is a past, recent, or scheduled action record of the user captured by the data input / output unit 2.

The action range / action pattern extraction means 4 analyzes the action record 3 and extracts the action range / action pattern 5. The action range / action pattern 5 is the action range / action pattern of the user's extracted past, recent, and planned events.

The network communication means 6 sends and receives data to and from the network, and here takes in the network information flowing in the network 12.

The network information 7 is information that is taken in through the network. The filtering processing means 8 extracts, from the network information 7, those that match the action range / action pattern 5, and obtains a filtering result 9.

The map creating means 10 creates a map that reflects the extracted filtering result 9 on the map. The information display board 11 displays the filtering result 9 on the map.

Next, the operation of the configuration of FIG. 1 will be described in detail in the order shown in the flowchart of FIG. In FIG. 2, S1 collects a user's action record. This is, for example, as a geographical behavior record of the user, as shown in FIG. 4 described later, a behavior record of a place (longitude, latitude measured by the navigation system) in association with date and time (year, month, day, time). To collect.

In step S2, the action record of the user is analyzed and the action range / action pattern (statistics) is extracted. This is S1
Based on all the past action records of the user collected in step 3, the statistically processed action range / action pattern (statistics) is extracted as shown in FIG. Here, the action range and action pattern (statistics) are extracted as an average of all past action records of the user, as shown in FIG. 5. Mr. P. M. A store Saturday (60%). According to the past action record, Mr. P extracts the action range / action pattern (statistics) of visiting the A store on M street with a probability of 60% on Saturday.

In step S3, the action record of the user is analyzed and the action range / action pattern (prediction) is extracted. This is S1
Based on the user's recent short-term action record collected in step 1, the processed action range / action pattern (prediction) is extracted, for example, as shown in FIG. Here, the action range / action pattern (prediction) is shown in Fig. 6 as the average of the action records of the user during the shortest recent period. ・ Extracted as Mr. P N Street C Store February 19 (80%) To do. This is due to Mr. P's recent short-term record of actions being recorded on N Street C stores at 80% on February 19th.
Range and behavior pattern (prediction) of stopping by with probability
To extract.

In step S4, the action record of the user is analyzed and the action range / action pattern (plan) is extracted. This is S1
Based on the user's action record (for example, schedule plan) collected in step 1, the statistically processed action range / action pattern (plan) is extracted as shown in FIG. 7, which will be described later. Here, the action range / action pattern (plan) is calculated from the schedule schedule of the user, and is shown in Fig. 7 ・ Extracted as planned on February 17th at Mr. P N Street C Store. According to the action record that the schedule is scheduled, Mr. P extracts an action range / action pattern (plan) in which the C store on the Nth street will drop in at a high probability on February 17.

In step S5, network information is collected. This is because the network communication means 6 of FIG.
The network information 7 flowing on the server 2 is collected in a disk device or the like.

In step S6, it is determined whether or not there is network information that has not been checked. If YES, the filtering process from S7 is performed. If NO, the process returns to S5 to collect network information.

In step S7, one record is next extracted from the network information. For example, one record is sequentially extracted from the upper part of the network information example of FIG. 3 described later. S8 is
It is determined whether the retrieved record is valid within a predetermined period starting from the present. This is based on the current date and time,
It is determined whether the record is valid within a predetermined period. In the case of YES, it progresses to S9. If NO, the process returns to S6.

In step S9, the action range and action pattern (statistics) are collated. For this, the network information of one record extracted from the network information 7 is collated with the user's action range / action pattern (statistics) extracted in S2.

In step S10, it is determined whether or not there is an action range / action pattern (statistics) that matches the retrieved record to some extent by the collation in step S9. Here, if they match to some extent or more, the places are close in distance. For example, it is determined whether the same street is in the shopping street.

The date and time are close in time. For example, it is determined that they are in the same time zone.・ Shopping items are similar in type. For example, when a food item, a pharmaceutical product, or a sporting item is classified, it is determined whether it is included in the classification or a similar classification.

The user relationships are close. For example, it is determined depending on whether it corresponds to a sibling or a family. In the case of YES in S10, it is found that there is a certain range of matching, for example, partially matching matching action ranges / action patterns (statistics), so the records extracted in S15 are accumulated, and the records extracted in S16 are retrieved. It is displayed separately on the map (displayed on the map in a color that matches the action range / action pattern (statistics)), and the process proceeds to S11. On the other hand, S10
In the case of NO, it is determined that the action range and action pattern (statistics) do not match to some extent, so the process proceeds to S11.

S11 is an action range / action pattern (prediction)
To match. This compares the network information of one record extracted from the network information 7 with the user's action range / action pattern (prediction) extracted in S3.

In step S12, it is determined whether or not there is an action range / action pattern (prediction) that matches the retrieved record to some extent by the collation in step S11. If yes,
Matches to a certain degree or more, for example, the range of action that partially matches
Since it was determined that there was an action pattern (prediction), the records retrieved in S17 are accumulated, and the records retrieved in S18 are displayed separately on the map (with the color indicating that they match the action range / action pattern (prediction)). Displayed on the map), S13
Proceed to. On the other hand, in the case of NO in S12, it has been found that the action range and action pattern (prediction) do not match to some extent, so the process proceeds to S13.

S13 is an action range / action pattern (planned)
To match. For this, the network information of one record extracted from the network information 7 is collated with the action range / action pattern (plan) of the user extracted in S4.

In step S14, it is determined whether or not there is an action range / action pattern (plan) that matches the retrieved record to some extent or more by the collation in step S13. If yes,
Matches to a certain degree or more, for example, the range of action that partially matches
Since it was found that there was an action pattern (plan), the records retrieved in S19 are accumulated, and the records retrieved in S20 are displayed separately on the map (in a color indicating that they match the action range / action pattern (plan)). (Displayed on the map) and returns to S6. On the other hand, in the case of NO in S14, it is determined that the action range and action pattern (planned) do not match to some extent, so the process returns to S6.

As described above, the action record of the user is analyzed to extract the action range / action pattern (statistics), the action range / action pattern (prediction), and the action range / action pattern (plan), and the network 12 is searched. When the flowing network information is collated with these and agrees to a certain extent or more, the network information is distinguished and displayed as a symbol on the map, or the network information is displayed as a character string in association with the location on the map. As a result, it becomes possible to filter the information desired by the user from the network information 7 flowing on the network 12 and selectively extract the information on the map and display it.

FIG. 3 shows an example of network information of the present invention. This is an example in which the network communication means 6 in FIG. 1 captures the network information flowing on the network 12, and here is an example of the place, date and time, and content as illustrated.

Location Date / Time Contents A Store M Street X Address February 11th to February 19th Product 1 = X yen, valid until product 2 = Y yen, etc. FIG. 4 shows an example of a user action record of the present invention. . this is,
It is an example of an action record in the form of date and time, name, (time, latitude, longitude), and is automatically collected by having each user carry a navigation device, and is collected as shown below.

Date and time: Saturday, February 11 Name: Mr. P Time, longitude, latitude: time T1, latitude X1, longitude Y1 time T2, latitude X2, longitude Y2 ... "Latitude X1, longitude Y1" etc. of the action record are CD-RO
Based on the map information (map information that the navigation system has) that was previously registered in M etc., “A store,
It can be converted into “M street, X address”, etc. This conversion is used in the extraction of the action range / action pattern in FIGS. 5, 6, and 7.

FIG. 5 shows an example of the action range / action pattern (statistics) of the present invention. This is a statistically processed (for example, average) process of the past long period (for example, all) of the user's behavior record in FIG. 4, and is for selecting network information regarding frequently visited shops. For example, it is extracted as shown below.

Name Place Date and Time (Probability of Visiting) P P M Street A Store Saturday (60%) Q Q N Street C Store Sunday (02%) Q Q M Street A Store Saturday (30%) FIG. 6 of the present invention An example of action range and action pattern (prediction) is shown. This is because the behavior of the user in the shortest recent period is statistically processed and predicted from the behavior record of the user in FIG. 4, and the network information about the shop used most recently is preferentially selected. For example, as shown in the figure below, in addition to the name and place, the expected date and time (day of the week) and the probability of coming are extracted.

Name Place Date and Time (Probability of Visiting) P N N Street C Store February 19 (80%) Q Q M Street B Store February 19 (30%) FIG. 7 shows the action range and action pattern of the present invention. (Plan) An example is shown. This is a schedule for statistically processing the behavior of the user based on the schedule schedule of the user, and is for selecting the network information about the store that the user is planning to visit. In addition to the name and place, the scheduled date and time are extracted.

Name Location Date / Time (To be visited) Mr. P N Street C Store Scheduled on February 17 Mr Q M Street A Store Scheduled on February 19 FIG. 8 is an operation explanatory diagram (No. 1) of the present invention. . This shows how the network communication means 6 collects the information flowing on the network 12 for 24 hours as the network information 7. As shown in the figure, the network information 7 to be collected is usually: public data, traffic data, weather information, store data, and others. The network information 7 collected from these networks 12 is the action range / action pattern (statistics), the action range / action pattern (prediction), and the action range / extracted from the action record of the user according to the flowchart of FIG. The information is extracted as the information desired by the user when it matches with the action pattern (plan) to a certain extent, and is displayed on the information display board 11 to inform the user.

FIG. 9 is a diagram for explaining the operation of the present invention (No. 2). This shows that the user carries the GPS portable information terminal with him and the data input / output means 2 automatically collects it as the action record 3 from the GPS portable information terminal wirelessly. Further, instead of automatically collecting the data by the data input / output unit 2, the GPS portable information terminal stores a movement record (action record), and the data input / output unit 2 is collectively collected later.
May be connected to and collected.

FIG. 10 is a diagram for explaining the operation of the present invention (part 3).
Indicates. This is an action range / action pattern (statistics, prediction,
A state in which a network result (filtered network information) that coincides with the schedule to a certain extent or more is displayed by a symbol or the like so that the map creating unit 10 can distinguish it on the map is shown.

FIG. 11 shows a flowchart for explaining the operation of the present invention. In FIG. 11, S21 detects the current position of the user. This detects the present position (latitude, longitude) by the GPS-equipped portable information terminal carried by the user.

In step S22, a predetermined range including the current position of the user is extracted from the created map. This is a CD-ROM centered on the current position detected in S21 (for example, the current position (latitude, longitude) detected by the navigation system).
The map information of a predetermined range is extracted from the above.

In step S23, the range of the extracted map is displayed to the user. For example, as shown in FIG. 10 described above, the current position is a symbol of the user walking to the right of the center, and the main buildings, traffic lights, restaurants, schools within the preset range preset from the current position. , Airfields, etc. are displayed. In addition, the network information (filtered network information) that matches to a certain extent or more among the above-described user action range / action pattern (statistics, prediction, schedule) and the information captured wirelessly from the network 12 is displayed on this map. It is possible to display the network information after the filtering, which is expected to be desired by the user, by superimposing and displaying the information separately.

[0054]

As described above, according to the present invention,
Filtering that matches the action range / action pattern (statistics, prediction, schedule) extracted from the user's past action record, recent action record, action schedule, etc. with the information flowing on the network 12 to some extent or more. Since the network information afterward is extracted and displayed separately on the map, the information individually requested by the user is selectively extracted from the information flowing in the network 12 to obtain the information. It can be displayed on the display plate 11 or the like, or can be displayed as character information. As a result, it becomes possible to select a more appropriate information service and provide it by inferring the needs of users who change depending on time, situation and place.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an embodiment of the present invention.

FIG. 2 is a flowchart explaining the operation of the present invention.

FIG. 3 is an example of network information of the present invention.

FIG. 4 is an example of a user action record of the present invention.

FIG. 5 is an example of an action range / action pattern (statistics) of the present invention.

FIG. 6 is an example of an action range / action pattern (prediction) of the present invention.

FIG. 7 is an example of an action range / action pattern (plan) of the present invention.

FIG. 8 is an operation explanatory diagram (1) of the present invention.

FIG. 9 is a diagram for explaining the operation of the present invention (No. 2).

FIG. 10 is an operation explanatory diagram (3) of the present invention.

FIG. 11 is a flowchart explaining the operation of the present invention.

[Explanation of symbols]

 1: Information filtering device 2: Data input / output means 3: Action record 4: Action range / action pattern extraction means 5: Action range / action pattern 6: Network communication means 7: Network information 8: Filtering processing means 9: Filling result 10: Map creating means 11: Information display board 12: Network

Claims (5)

[Claims] 1. An action range / action pattern that is extracted or previously extracted by aggregating user's past action records, and the above-mentioned action range / action among the information flowing in the network.
An information filtering apparatus, comprising: a filtering processing unit that matches and partially matches information that is matched with an action pattern and a unit that distinguishes and displays it on a map based on the extracted information. 2. An action range / action pattern extracted by collecting or pre-extracting action records of a user within a recent predetermined period, and the above-mentioned action range / action among the information flowing in the network.
An information filtering apparatus, comprising: a filtering processing unit that matches and partially matches information that is matched with an action pattern and a unit that distinguishes and displays it on a map based on the extracted information. 3. The action range / action pattern extracted from the user's schedule or extracted in advance, and the action range / action pattern among the information flowing in the network.
An information filtering apparatus, comprising: a filtering processing unit that matches and partially matches information that is matched with an action pattern and a unit that distinguishes and displays it on a map based on the extracted information. 4. An action range / action pattern that is extracted or previously extracted by collecting past action records of a user and an action range that is extracted or previously extracted by collecting action records of a user within a recent predetermined period. -Any one of the above 2 among the action patterns, the action ranges / action patterns extracted or previously extracted from the user's schedule, and the information flowing in the network.
Filtering processing means for extracting matching and partially matching information by respectively collating with three or three action ranges / action patterns, and means for separately displaying on the map based on these extracted information. An information filtering device characterized by being provided. 5. A means for detecting the current position of a user, and the information extracted according to any one of claims 1 to 4 among the information flowing in the network is centered on the detected current position. An information filtering device, characterized in that it has means for separately displaying on a map within a predetermined range.