JP2006133914A - Information access relevance ratio analysis system, and information access relevance ratio analysis method, information access relevance ratio analysis program and recording medium therefor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information access relevance ratio analysis system, an information access relevance ratio analysis method, an information access relevance ratio analysis program and a recording medium therefor for analyzing access concentration on information by a user in an indoor/outdoor space from the point of view of the relevance ratio between a time, location and physical conditions for performing access to information contents and the contents of accessed information contents. <P>SOLUTION: The information access relevance ratio analysis system is provided with: a means for recording the location information of users in a space where information contents are provided; a means for recording contents names accessed by users in the space and the user names; and a means for specifying information contents in which the number obtained by dividing access frequency to the same information contents in a certain time zone t<SB>w</SB>by the number of users existing in the space in the time zone t<SB>w</SB>exceeds a threshold as information contents whose access concentrates in the time zone t<SB>w</SB>, and for collecting two group data (time zone t<SB>w</SB>, contents names). <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a system for analyzing the concentration of information access by a user indoors and outdoors in relation to the situation where the user is placed.

When considering a space inside an exhibition, exhibition, museum, office building, home, or outdoor such as a street corner or suburb, users (people and cars) To identify the concentration of access by a mobile object such as a mobile object, etc., in order to appropriately provide various services for users in that space, user modeling, trend analysis, information distribution planning, It is extremely important for proper execution of scheduling and spatial layout.
JP 2002-109135 A JP 2002-318976 A

  However, a system for analyzing customer trends based on the access status of customers to access points arranged in the event area described in Patent Document 1 above, and access by a user terminal to a virtual store server described in Patent Document 2 In conventional systems such as devices that generate display images or display the degree of inclusion according to the number, from the viewpoint of the degree of relevance between the time / location / physical condition of accessing information content and the content of the accessed information content No technical ideas for analysis are presented.

  Therefore, in view of the circumstances as described above, the present invention provides an information access relevance analysis system capable of analyzing the concentration of information content provided in indoor and outdoor spaces from the viewpoint of the relevance and information access relevance. It is an object to provide a degree analysis method, an information access relevance degree analysis program, and a recording medium thereof.

In order to solve the above-mentioned problems, the present invention firstly includes means for recording location information of a user in a space where information content is provided, a content name and a user name accessed by the user in the space. recording means, and the information content number obtained by dividing the number of users exceeds the threshold value exists the number of accesses to the same information content at a certain time period t _w the space corresponding time period t _w, hours There is provided an information access relevance analysis system characterized by comprising means for identifying information content concentrated in access at t _w and collecting the _duplicate data {time zone t _w , content name}.

Secondly, means for recording the location information of the user in the space where the information content is provided, means for recording the content name and user name accessed by the user in the space, and a certain time t _i or a certain time the information content percentage obtained by dividing the total number of users present the number of users who access the same information content in a band t _w in a certain target region in said space exceeds the threshold value, the time t _i / time zone t _w and interest Information access relevance analysis characterized in that it comprises means for collecting information that is concentrated on access in an area and collecting the triple data {time t _i / time zone t _w , attention area, content name} Provide a system.

Third, means for recording user location information in a space in which information content is provided, means for recording the content name and user name accessed by the user in the space, a certain time t _i or a certain time zone Data triplet data {time t _i / time zone t in which the ratio obtained by dividing the number of users accessing the same information content at t _w by the total number of users existing in a certain area of interest exceeds the threshold means for collecting _w , attention area, content name}, and {data of attention area, content from a set of ternary data {time t _i / time zone t _w , attention area, content name} of each collected information content select a set of name}, retrieves the selected {attention area, the time from the triplicate data including a set of the same set of content name} t _i / time zone t _w If the number of the time t _i / time zone t _w exceeds the threshold value, the corresponding {attention area, content name} set of two data pieces, accessed in the region of interest is collected as information about the information content to be concentrated An information access relevance analysis system characterized by comprising means is provided.

Fourth, means for recording the location information of the user in the space where the information content is provided, means for recording the content name and user name accessed by the user in the space, physical information of each point in the space means for recording the information rate divided by the total number of users exceeds the threshold value that exists the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space content Means for collecting ternary data {time t _i / time zone t _w , attention area, content name}, and ternary data {time t _i / time band t _w , attention area of each collected information content , Content name} is selected from the set of content names}, and two sets of data are selected from each of the three sets of data including the same content name as the selected content name. Data {time t _i / time zone t _w , region of interest}, and access is made to information content having two sets of data of a physical condition and a content name that are commonly established in the set when the physical condition is satisfied. There is provided an information access relevance analysis system characterized in that it includes means for identifying two pieces of data {physical condition, content name} as specified as concentrated information content.

In the fifth aspect of the present invention, fifthly, there is a step of recording position information of a user in a space where information content is provided, a step of recording a content name and a user name accessed by the user in the space, and information the information content number obtained by dividing the number of users present the number of accesses to the same information content to the space corresponding time period t _w the time period t _w exceeds the threshold, the access in the time period t _w concentrated There is provided an information access relevance analysis method characterized by having a step of identifying as content and collecting the _duplicate data {time zone t _w , content name}.

Sixth, recording the location information of the user in the space where the information content is provided, recording the name of the content accessed by the user and the user name in the space, and a certain time t _i or a certain time the information content percentage obtained by dividing the total number of users present the number of users who access the same information content in a band t _w in a certain target region in said space exceeds the threshold value, the time t _i / time zone t _w and interest An information access relevance analysis method comprising the step of identifying information content concentrated in access in a region and collecting the triple data {time t _i / time zone t _w , attention region, content name} I will provide a.

Seventh, the step of recording the location information of the user in the space where the information content is provided, the step of recording the content name and the user name accessed by the user in the space, a certain time t _i or a certain time zone Data triplet data {time t _i / time zone t in which the ratio obtained by dividing the number of users accessing the same information content at t _w by the total number of users existing in a certain area of interest exceeds the threshold _w , attention area, content name}, and {data of attention area, content from a set of ternary data {time t _i / time zone t _w , attention area, content name} of each collected information content Name} is selected, and time t _i / time zone t from each triple data including the same set as the selected {focus area, content name} _{When w} is taken out and the number of times t _i / time zones t _w exceeds the threshold, the corresponding data of {attention area, content name} is related to information contents that access concentrates in the attention area. There is provided an information access relevance analysis method characterized by having a step of collecting as information.

Eighth, the step of recording the location information of the user in the space where the information content is provided, the step of recording the content name and user name accessed by the user in the space, the physical information of each point in the space for recording step, the information rate divided by the total number of users exceeds the threshold value that exists the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space content Collecting the triplet data {time t _i / time zone t _w , attention area, content name} and the collected triple data {time t _i / time band t _w , attention area of each information content , Content name} is selected from the set of content names, and each triplet including the same content name as the selected content name is selected. Data from the data {time t _i / time zone t _w , region of interest} is extracted, and the information condition having the physical data and the data name of the data name that is common in the set is taken as the physical condition Provided is an information access relevance analysis method characterized in that it has a step of identifying the information content to which access is concentrated when it is established and collecting the duplicate data {physical condition, content name}.

  The invention of the present application is ninthly an information access relevance analysis program for causing a computer to execute the information access relevance analysis method according to any of claims 5 to 8, and tenthly, the information access relevance analysis program. A computer-readable recording medium on which a relevance analysis program is recorded is provided.

  According to the first to fourth information access relevance analysis systems, the concentration on the information content provided in the indoor / outdoor space is divided into the time / location / physical condition for accessing the information content and the accessed information content. It can be analyzed from the viewpoint of the degree of relevance to the content of the content, and is specified from the concentrated content T (Time) identified from the relevance analysis of the time and the content, and from the relevance analysis of the time and place and the content Concentrated content TL (Time & Place), Concentrated content L (Place) specified from analysis of relevance between place and content, Concentrated content Y (Physical status) specified from analysis of relevance between physical condition and content It becomes possible to collect information. By using these pieces of information, it is possible to perform appropriate execution such as user modeling, user trend analysis, information distribution planning, scheduling, and space layout as well as providing various services in the information providing space.

  In addition, according to the fifth to eighth information access relevance analysis methods, a method can be realized in which the same effects as those of the first to fourth information access relevance analysis systems can be obtained.

  Then, according to the ninth information access relevance analysis program and the tenth recording medium, a computer program capable of obtaining the same effects as the fifth to eighth information access relevance analysis methods and a flexible program recording the same Recording media such as disks, CDs, and DVDs are realized.

<Concentrated content>
In the present invention, as described above, the concentration of access to the information content by the user is analyzed from the degree of relevance between the time / location / physical condition of accessing the information content and the content of the accessed information content. Specifically, as illustrated in FIG. 1, for example, the user's position information / speed information sequentially acquired in the space (which can be referred to as an information providing space or an analysis target space), physical information about the situation / environment in which the user is placed, and By analyzing the access information to the information content of the user, the following information content with concentrated access (hereinafter referred to as “concentrated content”) is specified.

1. Content T where access is concentrated in a specific time zone
2. Content TL where access is concentrated in a specific time zone and place
3. Content L where access is concentrated in a specific place
4). Content Y where access concentrates when specific physical conditions are met
Information regarding the specified concentrated contents T, TL, L, and Y is collected and represented as the following data set, and is provided to the user or the like as necessary.

T: {time zone, content name}
TL: {time zone, location, content name}
L: {location, content name}
Y: {physical condition, content name}
<Information access relevance analysis system>
As for the system for specifying “concentrated content” by various information analysis as described above, for example, a configuration as illustrated in FIG. 2 can be considered.

  In the system configuration of FIG. 2, the sensor system 10, physical information system 20, access information system 30, database system 100, sensor database 110, physical information database 120, access information database 130, layout database 140, centralized content database 150, analysis module 200 and a display 300.

  The layout database 140, which is a subsystem of the database system 100, stores initial data (which can be called layout data) such as the size, shape, section, and object layout related to the analysis target space. Provided to the module.

  Further, the concentrated content database 150, which is another subsystem, stores information on the concentrated content T, TL, L, and Y as described above as an analysis result.

  The sensor system 10 uses, for example, a portable information terminal device, a mobile phone, a PDA, a GPS, a wireless LAN, proximity wireless communication, an RFID tag, a network sensor, a speed sensor, and the like to acquire the current position and speed vector of the user, It is directly given to the analysis module 200 (connection lines are not shown) or stored in the sensor database 110 which is a subsystem of the database system 100. At this time, the position information is expressed as a point in a virtual analysis target space on the computer and sequentially stored in the database. In the case where the analysis target space is a two-dimensional space represented by x, y coordinate axes or the like or a three-dimensional space represented by x, y, z coordinate axes, etc., it may be point data composed of position coordinates matched to them. Although FIG. 1 illustrates the case of two dimensions, the same applies to three dimensions. On the other hand, the speed vector composed of the speed of movement and its direction can also be obtained by calculation from position information. As for the database, independent database systems such as a user position database and a user speed database may be constructed. What is common is that in this system, time is expressed discretely in the database, and even in continuous time, data contained in a minute time space is collected and handled as one discrete time. It is. The user information such as the position / speed information can be managed by using an anonymous ID that ensures anonymity in order to protect the user's privacy. Anonymous ID is an ID determined by this system or a portable information terminal device used by a user, and means something that cannot identify an individual.

  The physical information system 20 uses various devices such as sensors that can measure, for example, various physical information such as temperature, humidity, light intensity, congestion, water volume, and air pollution level at each point in the analysis target space. The physical information on the situation / environment where the user is placed is acquired, and the obtained data is directly given to the analysis module 200 or stored in the physical information database 120 which is a subsystem of the database system 100. At this time, for example, the physical information of each point at each time is stored as a set of {point in space} and {observed physical quantity}. When physical information of a point where measurement data does not exist can be estimated by interpolation from other data, the estimation calculation is executed and stored. It should be noted that the physical information database 120 and the sensor database 110 may share one database system for implementation, or may be two independent database systems.

The access information system 30 obtains access information to the information content by the user by using, for example, an environment side device that transmits the information content in the analysis target space, a server that manages information content or user access, and the like. The obtained data is directly given to the analysis module 200 or stored in the access information database 130 which is a subsystem of the database system 100. At this time, for example, the access information at each time is stored as a set of {accessed user name} and {accessed content name}. FIG. 1 illustrates a set of two sets of access data at time t _i such as {user a, content 3}, {user b, content 6}, {user e, content 8}. Although it is understood that some users c are present, it does not include those for users c to access data set in the same time t _i in time t _i. This means that the user c did not access any of the information content to the time t _i.

  The analysis module 200 performs analysis processing as described later using user position information / speed information, physical information, access information, layout data, and the like from the sensor system 10, the physical information system 20, the access information system 30, and the database system 100. It is to be executed and constructed as a module constituting the system. In this case, the output data from the sensor system 10, the physical information system 20, and the access information system 30 can be directly input to the analysis module 200, so that the service can be provided without the database system 100. In this case, a higher-speed service can be provided. Further, as illustrated in FIG. 2, the output of the sensor system 10, the physical information system 20, and the access information system 30 is branched into two and sent to both the analysis module 200 and the database system 100 to increase the speed. Is also possible. Further, the analysis module 200 can operate autonomously by itself even if there are no subsystems such as the sensor system 10, the physical information system 20, the access information system 30, and the database system 100 as described above. It can also be constructed as an analysis computer system. In this case, the analysis module 200 itself is provided with means capable of acquiring position / velocity information, means for executing various processes, means for storing various data, and the like.

  The sensor system 10, the physical information system 20, the access information system 30, the database system 100, the analysis module 200, and the display system 300 are appropriately configured with a display unit 1 such as a display, a keyboard, An input unit 2 such as a mouse, a main storage unit (main memory) 3 that stores processing programs and various data, a processing unit (CPU) 4 that executes various processes in response to instructions from the processing program, and controls data communication with the outside The communication control unit 5 that performs this operation, the file system 6 that stores various data, and the bus 7 that connects these to each other can be provided.

<Information access relevance analysis processing>
Here, the information access relevance analysis by the system as described above will be described for each of the concentrated contents T, TL, L, and Y described above. 4 to 7 are flowcharts of the respective processes.

<1. Concentrated content T> (see FIG. 4)
<< Step S1-1 >>
First, position information of each user in the analysis target space at each time is acquired. This can also be said to acquire the current position of the user in the analysis target space, that is, the flow line of the user. Then, the position information is expressed as points in the analysis target space as described above and sequentially stored in the database.

<< Step S1-2 >>
On the other hand, the user name (user-specific information such as ID) accessed to the information content provided in the analysis target space at each time and the accessed content name are acquired and sequentially stored in the database as a set of two data. Store in chronological order.
<< Steps S2-1 to S2-3 >>
After the location information and access information are accumulated as described above, they are analyzed as follows.

First, based on two data sets as the access information to determine the number of accesses to the same information content at a given time period t _w (step S2-1). More specifically, the frequency of access of information contents at each time is examined by searching the access information database 130 by sequentially going back the time along the time axis or by moving the time forward. This frequency is calculated by the total number of accesses during the time width of some time width before and after the currently examined time (that is, a width of plus or minus t _W / 2 of the currently examined time). This means that you have examined the frequency with respect to time the width of the width t _w (that is, the time period t _W).

Then, based on the positional information, obtains the number of users existing in the analysis target space in the time zone t _w (step S2-2).

  Then, the number of accesses is divided by the number of users, and it is determined whether or not the obtained number exceeds a preset threshold value (step S2-3).

<< Step S3 >>
After that, the information contents determined to have exceeded are collected, and the respective duplicate data {time zone, content name} are registered in the database.

  As described above, it is possible to identify the content T on which access concentrates in a certain time zone, and collect the above-mentioned two sets of data as the information.

<2. Concentrated content TL> (see FIG. 5)
<< Steps S1-1 to S1-2 >>
First, the position information of each user in the analysis target space at each time is acquired, expressed as points in the virtual analysis target space on the computer, and sequentially stored in the database in chronological order.

  On the other hand, the user name (user-specific information such as ID) accessed to the information content provided in the analysis target space at each time and the accessed content name are acquired and sequentially stored in the database as a set of two data. Store in chronological order.

  The position information and access information are processed in the same manner as in the case of the concentrated content T described above.

<< Steps S2-1 to S2-3 >>
After the location information and access information are accumulated as described above, they are analyzed as follows.

First, based on two data sets as the access information to determine the number of users who access the same information content at any given time t _i or arbitrary time period t _w (step S2-1). Here the time period t _w in is the same as the time period t _w using in identifying centralized content T of the above.

Then, based on the positional information, obtains the total number of users existing in an arbitrary target region in the analysis target space at time t _i or time period t _w (step S2-2). More specifically, when performing this analysis, consider the area that should be noted in the analysis target space (also called the analysis target space), and call this “window” and set it in the virtual space created on the computer. To do. That is, an actual analysis target space is virtually represented on a computer, and a window is set in this space. At this time, when the analysis target space is expressed as a two-dimensional space, a two-dimensional window such as a rectangle or a circle can be considered, and when a three-dimensional space is used, a three-dimensional window such as a rectangular parallelepiped or a sphere can be considered. FIG. 1 shows a rectangular window in the case of a two-dimensional space as an example. This window can be set automatically in any shape or size on the computer side, or it can be set on the computer side in response to an input of an external setting instruction. In the latter case, the user position is distributed as a point in the analysis target space. Therefore, by looking at the distribution (displayed on the display system 300 in the above system configuration, for example), the shape and size of the window are determined. Select it and enter it. After that, the total number of users located in the attention area “window” set in this way is calculated at time t _i or time zone t _w (hereinafter, described as time t _i / time zone t _w ).

  Then, it is determined whether or not the ratio obtained by dividing the number of users by the total number of users exceeds a preset threshold value (step S2-3).

<< Step S3 >>
After that, the information contents determined to exceed are collected, and each triple data {time t _i / time zone t _w , location, content name} is registered in the database. The “place” here is position information of the window.

  As described above, the information content accessed by a certain percentage or more of all users existing in a certain window in the analysis target space is specified as the content TL where access is concentrated in a certain time zone and place (window). The above triple data that is the information can be collected.

<3. Concentrated content L> (see FIG. 6)
<< Steps S1-1 to S1-2, S2-1 to S2-3, S3 >>
In this process of identifying the concentrated content L and collecting the information, the process is based on a set of the triple data {time t _i / time zone t _w , location, content name} obtained in the case of the concentrated content TL described above. Therefore, the process up to the collection of the triple data is the same as that described above, and a description thereof will be omitted.

<< Steps S4-1 to S4-3 >>
After the triple data set is obtained, the analysis process proceeds as follows.

First, three collected data sets {time t _i / time zone t _w, location, content name} from a set of, selecting two sets of an arbitrary {location, content name} (step S4-1) . This selection can be made by automatically selecting an arbitrary set on the computer side or accepting an input of a selection instruction from the outside and selecting it on the computer side accordingly. In the latter case, it is only necessary to look at a set of triplet data (displayed on the display system 300 in the above system configuration) and select and input any two sets.

Subsequently, selected {location, content name} retrieve a set time from each triplicate data including the same set and t _i / time zone t _w of (step S4-2). More specifically, a triplet data having a doublet that matches the selected doublet is searched from the set of triplet data, and time t _i / time is obtained from each searched triplet data. Only the band t _{w is} taken out and the set is T ₀ .

When the determination whether exceeds the threshold number of time periods t _w constituting the original number, i.e. the set T ₀ of the set T ₀ is set in advance, exceeds its corresponding information content The location L is specified as the content L where access is concentrated, and the duplicate data {location, content name} is registered in the database (step S4-3).

  As described above, it is possible to identify the content L to which access is concentrated in a certain place and collect the above-mentioned duplicate data as the information.

<4. Concentrated content Y> (see FIG. 7)
<< Steps S1-1 to S1-2, S2-1 to S2-3, S3 >>
In this process of identifying the concentrated content Y and collecting the information, the process is based on the set of the triplet data {time t _i / time zone t _w , location, content name} obtained in the case of the concentrated content TL described above. Therefore, the process up to the collection of the triple data is the same as that described above, and a description thereof will be omitted.

<< Step S1-3 >>
In this process, physical information is required in step S4-3, which will be described later. Therefore, physical information of each point in the analysis target space at each time is acquired and stored in the database.

<< Steps S4-1 to S4-3 >>
After the triple data set is obtained, the analysis process proceeds as follows.

First, an arbitrary content name is selected automatically or according to an external selection instruction from the set of collected triple data {time t _i / time zone t _w , location, content name} (step S4- 1).

Subsequently, the duplicate data {time t _i / time zone t _w , location} is extracted from each triple data including the same content name as the selected content name (step S4-2). More specifically, the three data sets having a content name that matches the selected content name, three retrieved from a collection of data sets, the retrieved {time t _i / time zone from each triplicate data Take a pair of t _w , place} and let T _p be the set.

Then, the information content having two sets of data of the physical condition and the content name that are commonly established in the set T _p is specified as the information content to which access is concentrated when the physical condition is satisfied, and the two sets of data { Physical condition, content name} is registered in the database (step S4-3). More specifically, for the common physical condition, physical information of a point that coincides with {location} in each of the two sets of data {time t _i / time zone t _w , location} constituting the set T _p is obtained. Retrieval is performed from each database, and common physical information, that is, a plurality of retrieved physical information, is derived as a common physical condition. For example, when a plurality of physical information “temperature is 15 ° C. or more” and physical information “light quantity is 200 lux or more” are searched, they become common physical conditions.

  As described above, it is possible to identify the content Y to which access concentrates when a certain physical condition is satisfied, and collect the above-mentioned two sets of data which are the information.

<< Presentation to user >>
Information on the concentrated contents T, TL, L, and Y as described above can be extracted as needed based on an external request from the user or the like.

  For example, if digitized data is required, registration data for the concentrated contents T, TL, L, and Y to be known may be presented, and these may be superimposed on a map that represents a time zone / location. Thus, it is also possible to provide map information in an easy-to-understand format. As a result, for example, the user can know, for example, the content contents that are popular / not popular in advance, and the administrator side can more appropriately plan distribution of information contents, change contents, and the like.

The figure for demonstrating this invention. The block diagram of an information access relevance analysis system. The block diagram of each subsystem in an information access relevance analysis system. The flowchart of the information access relevance analysis about the concentrated content T. The flowchart of the information access relevance analysis about concentrated content TL. The flowchart of the information access relevance analysis about the concentrated content L. The flowchart of the information access relevance analysis about the concentrated content Y.

Explanation of symbols

1 Display unit 2 Input unit 3 Main storage unit (main memory)
4 processor (CPU)
5 Communication Control Unit 6 File System 7 Bus 10 Sensor System 20 Physical Information System 30 Access Information System 100 Database System 110 Sensor Database 120 Physical Information Database 130 Access Information Database 140 Layout Database 150 Centralized Content Database 200 Analysis Module 300 Display System

Claims (10)

Means for recording user location information in a space where information content is provided;
The number obtained by dividing the number of users existing means for recording the content name and the user name that the user has accessed, and the number of accesses to the same information content at a certain time period t _w the space corresponding time period t _w in said space the information content that exceeds the threshold value, identified as information content access are concentrated in the time period t _w, and further comprising a means for collecting the two data sets {hours t _w, the content name} a Information access relevance analysis system. Means for recording location information of a user in an information providing space in a space where information content is provided;
All users present means for recording the content name and the user name that the user has accessed, and the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space in said space The information content whose ratio divided by the number exceeds the threshold is identified as the information content concentrated in the time t _i / time zone t _w and the attention area, and the triple data {time t _i / time zone t An information access relevance analysis system comprising means for collecting _w , attention area, content name}. Means for recording user location information in a space where information content is provided;
Means for recording the content name and user name accessed by the user in the space;
Three data sets of information content percentage obtained by dividing the total number of users present the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space exceeds a threshold value Means for collecting {time t _i / time zone t _w , attention area, content name}, and triple data {time t _i / time zone t _w , attention area, content name} of each collected information content A set of {attention area, content name} is selected from the set, and time t _i / time zone t _w is extracted from each triplet data including the same set as the selected {attention area, content name} set , about the case where the number of the time t _i / time zone t _w exceeds the threshold value, the corresponding {attention area, content name} set of two data pieces, the information content accessible in the region of interest is concentrated Information Access relevance analysis system, characterized in that it comprises means for collecting as that information. Means for recording user location information in a space where information content is provided;
Means for recording the content name and user name accessed by the user in the space;
Means for recording physical information of each point in the space;
Three data sets of information content percentage obtained by dividing the total number of users present the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space exceeds a threshold value Means for collecting {time t _i / time zone t _w , attention area, content name}, and triple data {time t _i / time zone t _w , attention area, content name} of each collected information content A certain content name is selected from the set, and two sets of data {time t _i / time zone t _w , attention area} are extracted from each set of triple data including the same content name as the selected content name. Information content with dual data of physical conditions and content names that are established in common as information contents where access is concentrated when the physical conditions are satisfied Constant, and information access relevance analysis system characterized by comprising means for collecting the two data sets {physical condition, content name}. Recording user location information in a space in which information content is provided;
The number obtained by dividing the number of users present step user records a content name and a user name who accessed, and the number of accesses to the same information content at a certain time period t _w the space corresponding time period t _w in said space information the information content exceeds the threshold value, identified as information content access are concentrated in the time period t _w, and having a step of collecting the two data sets {hours t _w, the content name} a Access relevance analysis method. Recording user location information in a space in which information content is provided;
All users present step user records a content name and a user name who accessed, and the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space in said space The information content whose ratio divided by the number exceeds the threshold is specified as the information content in which access concentrates in the time zone t _w and the attention area, and the triple data {time zone t _w , attention area, content name} An information access relevance analysis method comprising the step of collecting Recording user location information in a space in which information content is provided;
Recording the content name and user name accessed by the user in the space;
Three data sets of information content percentage obtained by dividing the total number of users present the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space exceeds a threshold value {hours t _w, the region of interest, the content name} step collecting, and triplet data collected each information content was {hours t _w, the region of interest, the content name} {attention region from a set of content select a set of name}, selected {attention area, taking out the time zone t _w from each triplicate data including a set of the same set of content name}, exceeds the number of that time period t _w is the threshold A pair of corresponding {attention area, content name} data is collected as information related to information content concentrated in the attention area. Information Access relevance analysis wherein the. Recording user location information in a space in which information content is provided;
Recording the content name and user name accessed by the user in the space;
Recording physical information of each point in the space;
Three data sets of information content percentage obtained by dividing the total number of users present the number of users who access the same information content at a certain time t _i or time zone t _w in a certain target region in said space exceeds a threshold value {hours t _w, the region of interest, the content name} three set data of each information content that is steps, and collecting collects {hours t _w, the region of interest, content name} select the content name from the set of , Two sets of data {time zone t _w , attention area} are extracted from each set of triple data including the same content name as the selected content name, and the physical condition and content name 2 that are commonly established in the set are extracted. Information content having triple data is identified as information content to which access concentrates when physical conditions are satisfied, and the double data { Information Access relevance analysis method characterized by comprising the step of collecting physical condition, the content name}.   An information access relevance analysis program for causing a computer to execute the information access relevance analysis method according to claim 5. A computer-readable recording medium on which the information access relevance analysis program according to claim 9 is recorded.