JP4443972B2 - Information distribution service provision system - Google Patents

Description

  The present invention relates to an information distribution service providing system, and in particular, appropriately selects and distributes information useful for the user to a mobile mobile information terminal such as a mobile phone or a PDA having a communication function, a notebook PC, The present invention also relates to a service providing system that makes it possible to increase the effect of distribution for the information distribution side.

Combining the spread of the Internet and the spread of portable mobile information terminals that can use Internet services such as e-mail, the future potential of services that deliver information such as advertisements according to the time, place, and situation to portable mobile information terminals Has long been considered promising. Furthermore, as a result of the practical use of portable mobile information terminals capable of knowing location information with high accuracy, the realization of this service is close.
This type of information distribution service (conventional technology) that has been proposed in the past assumes that information is distributed to a group of terminals in an arbitrary area at an arbitrary time (see Patent Document 1 and Patent Document 2). . In this case, it is assumed to some extent that the terminal moves with time, but it does not consider how the terminal group moves as a group.
On the other hand, it has been desired to grasp the effect as quantitatively as possible in the distribution of advertisements. However, in the conventional advertisement using mass media, the effect has been measured, but the accuracy is very low. Furthermore, the measurement is usually performed after a considerable amount of time has passed since the advertisement delivery time, and in that respect, it is considered that the accuracy is not high.

In the conventional information distribution service system, there are a large number of service users and a large number of information providers, and each information provider distributes a plurality of notification messages to service users under different conditions. In the prior art, the information distribution service is generally performed as follows.
(1) Register or contract for the use of this service between the service user and the server system operator, and between the server system operator and the information provider. The server system appropriately distributes the advertisement requested by the information provider to a predetermined service user located in a predetermined area.
(2) The server system receives the location information of the service user from time to time, and is located in the specified area and provides information about the attributes shortly before the time specified by the information provider from among the service users. Select the one that matches the one specified by the vendor.
(3) The list selected in (2) is sent from the server system to the information provider, further narrowed down by the information provider, and then distributed to the service users in the list.
Japanese Patent Laid-Open No. 2002-216021 Japanese Patent Application No. 2002-88432

The aim of information distribution is to raise awareness of products and companies and to link to purchasing behavior. The hope of the message delivery request is that it wants to obtain an objective evaluation of the effect of information delivery, knows the delivery method that will increase the effect as much as possible, and does not spend as much time as possible on the effect of information delivery. That you want to measure.
The information distribution method of the prior art is for distributing information to service users located in a specified area at a specified time. By doing so, a higher effect can be expected than when distributing uniformly over a wide area. However, there is no effective method for how to evaluate the effect and what distribution method can be used to enhance the distribution effect.

As described above, an object of the present invention is to provide an objective evaluation method of information distribution effect.
Another object of the present invention is to make it possible to provide information providers with advice on information distribution target areas and contents of information to be distributed based on the evaluation method, and to provide this advice service for a fee. Is to be able to do it.
Another object of the present invention is not only to distribute information within a predetermined range at a predetermined time, but also enables information distribution based on the following (1), (2), and (3) That is. That is,
(1) Understand the distribution of mobile mobile information terminals at a certain point in time, and notify information providers of high-density areas or areas where many users are located to encourage information distribution. .
(2) By grasping the movement of mobile mobile information terminals as a group, the movement can be predicted and traced back from the time when a large number of users gathered in a certain area, a few hours before it is judged appropriate. Propose to information providers to deliver advertisements to areas where users who are gathered in are located (you can expect high advertising effectiveness later).
(3) To provide a method for quantitatively evaluating to some extent how the movement of the mobile mobile information terminal group has changed due to the advertisement, and to provide the information provider with the data obtained thereby.

According to the present invention, according to the present invention, the information provider designates a delivery condition such as an information delivery area and an attribute of the service user to the server system, and the information provider designates based on location information from the service user. An information distribution service providing system that monitors a distribution state of service users having the attribute in the information distribution area and distributes distribution information of an information provider to the mobile information terminal of the service user based on the distribution state Achieved. The information distribution service providing system includes a server system and an information provider terminal connected to the server system via a network, and the mobile information terminal of a service user who has registered the use of the information distribution service via the network. Deliver information requested from the information provider terminal from the server system, the server system,
(a) means for receiving distribution conditions including an area designated by the information provider terminal;
(b) means for receiving location information of the mobile information terminal of the service user;
(c) means for extracting a mobile information terminal of a service user residing in an area designated by the information provider terminal based on the location information;
(d) The area designated by the information provider terminal is divided into unit sections having a predetermined area, and the mobile information terminal of the service user located in each unit section is identified, and the identification is made for each unit section. Means for calculating the distribution density for each attribute of the mobile information terminal
(e) means for receiving distribution conditions including distribution information from the information provider terminal, the attribute of the mobile information terminal of the service user who is the target of information distribution, and distribution destination information;
(f) The mobile information terminal of the service user to be distributed is extracted based on the distribution condition including the attribute and distribution destination information, and received from the information provider terminal based on the distribution density result for each calculated attribute Means for determining an effective distribution method of the distribution information, and transmitting the distribution information to the extracted mobile information terminal to be distributed using the determined method;
It has.

The server system, as a means for calculating the distribution density for each user attribute, from the means for obtaining and storing the area of the designated area, from the mobile information terminal of the service user located in the designated area, Means for extracting a mobile information terminal having a specified attribute, and means for calculating a distribution density using the area and the number of mobile information terminals having the specified attribute.
Further, the server system divides a designated area into a plurality of small areas as a means for calculating a distribution density for each user attribute, and sets each area as a set of data whose area can be calculated. Means for obtaining the area of the user, means for extracting the mobile information terminal having the specified attribute from the mobile information terminals of the service users located in any area, and storing the number thereof, the area and the specified Means for calculating the distribution density using the number of mobile information terminals of users having different attributes.
The server system further includes means for determining a distribution method of distribution information received from the information provider terminal from the calculated result.
The server system further includes means for statistical analysis based on a response time from the user's mobile information terminal to the distributed information and position information of the user, and means for notifying a change prediction based on the analysis result.
The server system further includes means for estimating a distance between the area where the distribution density is calculated and the location or sales base of the corresponding information provider, from the area where the distribution density is calculated to the location or sales base of the information provider. Means for calculating the time element of the information, and means for creating a recommendation for the information content distributed by the information provider from the calculated result.
The server system further includes means for distributing information based on a predetermined criterion from the real number of mobile information terminals of users located in each district.
The server system further includes means for recording a time-series change in distribution density for each attribute of the mobile information terminal of an arbitrary user in an arbitrary area.

As described above, according to the present invention, the information distribution area and the attribute of the service user are specified by the information provider in the server system, and the information distribution area specified by the information provider is based on the position information from the service user. Since the distribution state of the service users having the above attribute is monitored and predetermined information is distributed to the mobile mobile information terminal of the service user based on the distribution state, a high advertising effect can be expected.
Further, according to the present invention, not only information can be distributed only within a predetermined range at a predetermined time, but also the following information distribution can be performed. That is, it is possible to grasp the distribution of portable mobile information terminals at a certain point of time and notify the information provider of a high-density area or an area where a large number of users are located to promote information distribution. Thereby, a high advertising effect can be expected.
Further, according to the present invention, by grasping the movement of a group of portable mobile information terminals, the movement is predicted, and a few hours before it is determined that the movement is traced back from the time when a large number of users gather in a certain area. At this point, it is possible to propose to the information provider to distribute the advertisement to the area where the users who gather there are located. Thereby, a high advertising effect can be expected.
Further, according to the present invention, it is possible to present a method for quantitatively evaluating to some extent how the movement of a group of portable mobile information terminals is changed by the advertisement, and it is possible to provide data obtained thereby to an information provider.
Further, according to the present invention, real-time dynamic marketing (analysis and prediction of consumer behavior) is possible.
In addition, according to the present invention, it is possible to objectively evaluate the information distribution effect by receiving and storing the user's reaction to the distributed information. And based on the evaluation, it is possible to provide an information provider with advice on the target area of information distribution and the content of the information to be distributed, and it can be configured to provide this advice service for a fee. became.

  In FIG. 1, a server system 17 and an information provider terminal 18 connected to the server system via a network are provided, and the mobile mobile information terminal 10 of a service user who has registered the use of the information providing service is communicated via the network. In an information distribution service providing system that distributes information requested by an information provider from a server system, the information provider terminal 18 includes information contents to be distributed to the server system 17, an information distribution area, and attributes of service users. Specify the condition. The server system 17 monitors the distribution state of the service users with the attribute in the information distribution area designated by the information provider based on the location information from the service user who registered the use of the information provision service. Based on the distribution state, predetermined information is distributed to the portable mobile information terminal 10 of the service user having the attribute.

(A) Network System Configuration FIG. 1 shows an example of a network system configuration to which the present invention is applied. In FIG. 1, a portable mobile information terminal 10 such as a mobile phone, a PDA having a communication function, a notebook PC or the like has voice communication and data communication functions in the public mobile communication network 12, and is connected via the public mobile communication network or Functions as an Internet connection terminal connected to the Internet via IEEE802.116 or other wireless communication means, or 10BASE-T or other wired communication means (WWW access / data including data such as characters / still images / videos / sounds / music) Display / audio signal reproduction, e-mail transmission / reception function). When performing communication as a terminal of a public mobile communication network, the portable mobile information terminal 10 is connected to the public mobile communication network 12 via base stations 11 _{1 to} 11 _n in each wireless area in which it is located.
The Internet 14 is a normal Internet and transfers packet data using the TCP / IP protocol. The relay function 13 functions as a gateway that interfaces between the public mobile communication network 12 that performs circuit switching mainly for voice communication and the Internet 14 that performs packet switching mainly for data communication.
The service provider 15 is configured by a server or the like operated and managed by a general ISP (Internet Service Provider) or the like, and provides a web service (HTTP), an e-mail service (SMTP, POP), or the like to the subscriber. The terminal 16 is a personal computer connected to the Internet 14 via the public mobile communication network 12, or via an OCN Internet connection service or the like, or from a corporate network or the like.
An information distribution server system (ASP: Application Service Provider) 17 distributes information strongly related to the area to a plurality of people in the specific wireless area, that is, each user of the portable mobile information terminal 10. The server system (ASP) 17 includes area limited distribution information from an information provider 18 described later, user registration information based on preferences of each terminal user, and current location information from a portable mobile information terminal that can be connected to the Internet, It has a database constructed by

  The server system (ASP) 17 has all the functions of the Internet server operated and managed by the ISP 15, and uses various functions for providing various Internet services and various processing functions for realizing the functions. An appropriate service is provided to each user of the portable mobile information terminal 10 accessing via the Internet 14 or the public mobile communication network 12. In the following, ASP 17 and its operator are treated as a unit, and portable mobile information terminal 10 and its user are treated as a unit.

The information provider 18 is a provider of advertisement information limited to the advertisement target area, and includes, for example, general advertisement advertising companies, department stores in a specific area, business owners of retail stores, and the like. Designating various distribution conditions such as the user group of the mobile information terminal 10 that wants to distribute the advertisement information and their preferences, and a specific region, district, or wireless area, as well as distribution time and time zone The server system 17 is requested for the distribution. In FIG. 1, the network configuration ranges of the public mobile communication network and the Internet in a general sense are shown together on the upper side of the figure.
The location information generation and transfer function unit 19 includes a location information generation and transfer function of the portable mobile information terminal 10 alone or as a function of a public mobile communication network. is there. The position information is information for specifying a position with sufficient accuracy for providing a service, and refers to data such as longitude and latitude, for example. A method for generating location information of the portable mobile information terminal 10 is known, and is disclosed, for example, in the Nikkei Communication January 20, 2003 issue pp130-131. The server system 17 can obtain the location information of the terminal without being conscious of which method is used for positioning. Even when the portable mobile information terminal 10 is not a mobile phone terminal, it is assumed that the position information can be obtained autonomously or in cooperation with the position information center in the network.

In the information distribution service providing system having the above-described network configuration, the server system (ASP) 17 desires distribution by the information provider 18 to the mobile mobile information terminal 10 in the designated area, and the terminal user's preference. Automatically distribute matching information. For example, in the information distribution service form shown in the prior art, the information distribution service is implemented according to the following 1) to 3). That is,
1) The user of the portable mobile information terminal 10 wishes to provide an information distribution service, such as minimum information about the user (eg, gender distinction or age group), desired information content (eg, information genre), etc. Reception conditions are registered in advance in the database of the server system 17 by a predetermined procedure.
2) In addition to designating the information distribution area, the information provider 18 includes, for example, the distribution date and time zone, the user layer as a distribution destination and its preference, the type of information providing means such as a web service, voice, video, etc. Various distribution conditions such as the type of the information transmission medium are registered in the database of the server system 17.
3) The server system 17 determines the distribution conditions specified by the information provider 18 and the reception conditions presented by the terminal user from the registered mobile mobile information terminals 10, and extracts mobile mobile information terminals that match them. Furthermore, only the portable mobile information terminal 10 located in the area designated by the information provider 18 is extracted, and individual specific information is distributed to each terminal user. As a result, it is possible to distribute information with a high notification effect for both the information distribution source and the information distribution destination.

(B) Schematic Operation of Information Distribution Service of the Present Invention FIGS. 2 to 4 are flowcharts of schematic operation when the server system (ASP) 17 to which the present invention is applied provides an information distribution service.
In order to perform the information distribution service according to the present invention, the service user (portable mobile information terminal) 10 registers the information distribution service with the ASP 17 in advance. This procedure is publicly known, for example, according to the procedure shown in “Server system for distributing information to portable mobile information terminals in a specific area” (Japanese Patent Laid-Open No. 2002-216021).

The following description will focus on the case where the mobile mobile terminal 10 is a mobile phone terminal, but even if it is not a mobile phone terminal, the effect of the present invention is the same as long as it is a terminal from which location information can be obtained.
In the case of a cellular phone terminal, the service user of the portable mobile information terminal 10 sends a service request according to the present invention to the base station 11 _n in the public mobile communication network 12 in which the terminal is located by using a special number dial of the corresponding service. . The service request is further sent to the ASP 17 via the public mobile communication network 12, the relay function 13, and the Internet 14 (S101). In ASP 17, when a service request is received, a service registration screen using, for example, a web service using the HTTP protocol is displayed on the display of the portable mobile information terminal 10 (S102). In the case of a PDA, notebook PC, etc., an equivalent display is made by entering an appropriate URL from a browser.

The service user refers to the registration menu screen displayed on the display of the portable mobile information terminal 10 and inputs new registration, change, suspension, and the like. (Category), gender, age, occupation, etc. are entered and the user registration procedure is performed. Thereby, the portable mobile information terminal 10 transmits the registered content to the ASP 17 (S103).
The ASP 17 stores the registered user information as new registration data in the user registration master database UMDB, classifies the users for each attribute, and stores them in the master UADB for each user registration attribute.

  On the other hand, in order to implement the information distribution service according to the present invention, it is assumed that the information provider 18 and the ASP 17 have a contract for information distribution. This procedure is publicly known, for example, according to the procedure shown in “Server system for delivering information to portable mobile information terminals in a specific area” (Japanese Patent Laid-Open No. 2002-216021). FIG. 2 outlines a procedure for requesting delivery of an arbitrary notification message. In the following description, it is assumed that conditions such as a notification message from the information provider 18 and a distribution target person are passed as electronic data to the ASP 17 via the network. It is possible to transfer them to ASP 17 using physical media such as paper media and floppy disks, but even in that case, all of the data inside ASP 17 is converted to electronic data and processed. You can think of it.

The information provider 18 sends a distribution registration request for a notification message to the ASP 17 (S104), and the ASP sends a registration menu to the information provider as a response (S105). The information provider 18 inputs or selects the conditions of the person to whom the notification message is distributed from this registration menu, and sends the result to the ASP 17 for registration (S106). ASP 17 holds such information as an information provider master IPDB.
In the embodiment of FIGS. 2 to 4, the notification message is not registered at the time of the distribution registration request, and the notification message is sent to the ASP 17 together with the list of the target regions when the distribution target region or section is determined. Show. On the other hand, it is possible as another embodiment to take a method of registering a notification message in advance.

As for ASP 17, the data registered by the information provider 18 as the distribution target area among the data of the information provider master IPDB is converted into a set of unit sections using the separately provided section information SIDB data (S107) and distributed. Stored in the target area database MDDB.
The location information of the terminal 10 registered by the service user is received by the ASP 17 from time to time (S201), and the location information of the registrant location information master UPDB is updated as appropriate.
(1) The ASP 17 converts this position information into partition identification information using the partition information of the partition information database SIDB, and holds it as terminal distribution data for each unit partition. (2) Next, ASP 17 refers to the registrant master database UADB by category for the attributes of the service users who are the owners of those terminals based on the terminal distribution data for each unit section as appropriate. Aggregate by attribute. (3) ASP 17 also calculates the area of each unit section and the entire area of the target area, and uses those results to express the distribution status of each unit section and the entire area as numerical values for each attribute. To do. A method for calculating these distribution states will be described later. (4) ASP 17 is an information distribution method (target area, message content, distribution time, number of times) that is estimated to increase the distribution effect to the information provider 18 based on the numerical values obtained as described above. , Etc.) are prepared as recommendations and stored in the recommendation temporary storage database RMDB. ... S202

Then, the recommendation is notified to the information provider 18 (S203). Based on the notified recommendation RM, the information provider 18 determines an actual delivery target area as necessary and creates a notification message, and sends the information on the actual delivery target area and the notification message to the ASP 17 (S301). ).
ASP 17 saves the received real delivery target area information in the real delivery target area temporary database DADB, and then selects the terminal with the corresponding attribute in the real delivery target area and generates the delivery address of the real delivery person Then, a notification message distribution process is performed (S303), and the notification message is distributed to all target users (S304).
After that, ASP 17 records the response from the terminal that delivered the information, processes statistics, etc. as necessary, creates a report for information provider 18 (S305), and provides the report as appropriate The supplier is notified (S306).

(C) ASP processing (a) Service user registration processing
In ASP17, as shown in FIG. 5, the user interface processing unit 21 transmits / receives information to / from the portable mobile information terminal 10 mainly via the Internet 14, and corresponds to the received data content. Pass the received data to.
The user service reception processing unit 22 receives a request for new registration / change of service, start / pause / cancellation of service, etc. from the mobile mobile information terminal 10, and the mobile mobile information terminal via the registration menu transmission processing unit 23. The registration menu screen is displayed on the display 10. In addition, the user service reception processing unit 22 stores a processing result corresponding to each request type as new registration data in the user registration master database UMDB, or updates existing registration data accordingly.

  Further, in the case of new registration, the user service reception processing unit 22 secures an area corresponding to the user in the user location information master database UPDB. The registered attribute analysis processing unit 24 classifies users for each attribute from the data of the user master database UMDB, and stores them in the master database UADB classified by user registration attribute. The registered attributes of the user are for identifying and identifying information desired to be distributed, such as gender, age, and field of interest (category).

(B) Location registration processing When the service is started, the user location information reception processing unit 22 periodically receives location information from the user (portable mobile information terminal) 10 and stores it in the user location information master database UPDB. The user location information history management processing unit 26 stores the location information history for each user in the user location information history database PPCDB.
That is, the user location information reception processing unit 25 is generated from the mobile mobile information terminal 10 of the service user or at the corresponding location information center 19 and is autonomously and momentarily sent to the server system (ASP) 17. Alternatively, the location information of the user sent in response to an instruction from the server system is received and stored in the database together with related information such as time. In addition, the divisions are stored so that the data representing the distribution status can be easily calculated, the moving speed, moving direction, and moving distance per unit time are calculated, and these are classified and processed appropriately. Store in the database.

(C) Information provider registration process
In ASP17, as shown in FIG. 6, the information provider interface processing unit 31 sends and receives information to and from the information provider 18, and passes received data to a corresponding processing unit according to the received data content. The information provider registration reception processing unit 32 accepts “registration”, “change”, “pause”, “start”, “cancel”, etc. of the distribution request from the information provider 18 and provides the requested registration contents as information Store in the vendor master database IPDB. When “registration” is requested or when “change” of distribution conditions or contents is requested, the registration menu transmission processing unit 33 transmits a registration menu screen to the information provider 18.

The registration information analysis processing unit 34 classifies the distribution information stored in the information provider master DB (IPDB) according to contents and conditions, and stores the distribution information in the master DB (IPDB ′) for each information provider registration information. The contents registered by the information provider include a distribution area, distribution information, distribution conditions (distribution target, frequency, etc.) and the like.
If the information provider 18 is a mobile terminal, the information provider location information reception processing unit 35 receives the location of the information provider 18 and receives the location information of the information provider stored in the information provider master DB (IPDB). Update.
In addition, the method of dividing a certain area into unit sections, assigning numbers to each, and associating them with longitude and latitude is well known. For example, internationally, sea area numbers (Marsden Square numbers) are defined. For companies, there is a map code of Denso. One method is also disclosed in Japanese Patent Application No. 2002-88432.
In this embodiment, the map information master (MIDB) holds map information in the form of digitized various map information, and this is adapted to the ASP 17 processing method of the present invention. The entire latitude and longitude are converted into a quantized map master DB (QMDB) by the latitude / longitude quantization processing unit 36 and used.

(d) Region designation and user attribute designation process FIG. 7 is a block diagram of ASP 17 for realizing a region designation / user attribute designation process and a user attribute distribution density calculation / user attribute distribution calculation process.
The ASP operation management interface processing unit 41 and the information provider interface processing unit 42 respectively request the distribution density of users from the server system (ASP) operator and the information provider (including target areas and user attributes). If there is, the request is transferred to the ASP operation management reception processing unit 43 and the information provider request reception processing unit 44.
The ASP operation management reception processing unit 43 and the information provider request reception processing unit 44 accept the request and log the request contents in the ASP operation management log DB (OPDB) and information provider request DB (PRDB), and also specify the target area Section 45 and target user attribute designation processing section 46 are requested to create a designated area map and a designated user attribute, respectively. The target area designation processing unit 45 obtains the designated area using the requested contents and the quantized map master DB (QMDB) and stores it in the designated area map DB (DMDB), and the target user attribute designation processing part 46 uses the requested contents and usage. Referring to user-specific attributes stored in the user-registered attribute-specific master DB (UADB), the user with the specified attribute is obtained and stored in the specified user attribute DB (DUADB). The designated area map DB (DMDB) is stored as a set of data (two-dimensional spatial information) in such a form that the area of the designated area can be calculated. A set of unit partitions corresponds to this.

Here is an example of expressing the target area specified by the information provider.
・ A radius ykm centering on store A (location: Kamikodanaka × × address in Nakahara-ku, Kawasaki City)
・ Range of store A (location: Kamikodanaka ×× address, Nakahara-ku, Kawasaki-shi) east side xkm, west side ykm, south side zkm, north side wkm ・ Nakahara-ku and Takatsu-ku, Kawasaki City In this example, In ASP, it is expressed as a set of unit partitions in association with QMDB.

(e) User attribute distribution density calculation / user attribute distribution calculation process The target user decision processing unit 47 in the specified area includes the specified area map DB (DMDB), the specified user attribute DB (DUADB), and the position for each user. Using the information history DB (PPCDB), the distribution of users having specified attributes located in the specified area is obtained and stored in the specified area user DB (DAUDB).
The distribution density calculation processing unit 48 by user attribute obtains the distribution density of the attribute in the area from the user DB (DAUDB) in the designated area, and stores it in the distribution density DB (UADDB) by user attribute. Further, the user attribute-specific variance calculation processing unit 49 obtains the degree of dispersion (= distribution) of the attribute in the area and stores it in the user attribute-specific distribution DB (UADPB).

The general formula for the distribution density D _A (X) of the user attributes (A) in the corresponding region (X) is
D _A (X) = [Number of users with the user attribute (A) located in the corresponding region (X)]
÷ [Area (X) area]
Given in. Therefore, in order to calculate the distribution density D _A (X), the distribution density calculation processing unit 48 by user attribute (1) means for obtaining and storing the area of the specified area, (2) the specified area A means for extracting and storing the number of users having the specified attribute from the service users located in (3) and a means for calculating and storing the density by the above equation are required.
In addition, the general expression of the distribution density D _A (Xi) of the user attribute (A) in the set of unit sections (X1, X2, ..., Xm) subdivided in the region (X) is as follows:
D _A (Xi) = [Number of users of the user attribute (A) located in the unit block (Xi)]
÷ [Area of the relevant unit block (Xi)]
Given in. However, the area of X1 to Xm is made sufficiently smaller than the area of X. Therefore, in order to obtain the user distribution density D _A (Xi) of one subdivided unit section, (1) the designated area is divided into a plurality of small unit sections according to an appropriate procedure, Representing and storing each unit block as a set of data whose area can be calculated, means for storing and finding those areas, (2) specified from service users located in any unit block A means for extracting and storing the number of users having attributes and a means for calculating and storing the density according to the above equation (3) are required.

で与えられる。但し、
S_AX ²＝[((D_A(X1)−D_A(ave.X)) ²＋((D_A(X2)−D_A(ave.X)) ²＋.....
......((D_A(Xm)−D_A(ave.X)) ²]÷(m−1)
mは,該当地域(X)を細分化した単位区画数を表す。
D_A(ave.X)は、該当地域(X)の利用者属性(A)の平均分布密度を表す。
なお、ここでは説明を簡単にするため、単位区画の面積はすべて等しいと規定している。等しくない場合でも換算は容易である。 The general formula for the distribution S _A (X) of user attributes (A) in the corresponding region (X) is:

Given in. However,
S _AX ² = [(((D _A (X1) −D _A (ave.X)) ² + ((D _A (X2) −D _A (ave.X)) ² + .....
...... ((D _A (Xm) −D _A (ave.X)) ² ] ÷ (m−1)
m represents the number of unit sections obtained by subdividing the area (X).
D _A (ave.X) represents the average distribution density of the user attribute (A) in the corresponding region (X).
Here, in order to simplify the description, it is defined that the areas of the unit sections are all equal. Conversion is easy even if they are not equal.

(f) Target Information Provider Determination Process FIG. 8 is a configuration diagram of ASP 17 that realizes the target information provider determination process.
The information provider request matching processing unit 51 refers to the contents of the information provider request log DB (PRDB) and the information provider registration information master DB (IPDB '), and requests contents from the information provider 18 are registered in advance. Judgment is made to meet the conditions, and the determination result is stored in the intermediate DB (IMDB). The target information provider location quantization processing unit 52 determines the validity (geographical condition) of the distance between the area specified in the request and the location of the information provider from the information provider master DB (IPDB) and the request contents. And store the result in the target information provider DB (OIPDB).
If the request from the information provider lacks validity as a result of the check, the request source information provider is notified accordingly.

(g) Delivery mechanism decision process such as priority and notification process such as distribution density and distribution by user attribute Figure 9 realizes delivery mechanism decision process such as priority and notification process such as distribution density and distribution by user attribute It is a block diagram of ASP 17 to do.
The distribution information extraction processing unit 61 extracts the distribution information with reference to the distribution information registered in advance by the target information provider and stores it in the extracted distribution information DB (EIDB). The distribution priority determination processing unit 62 Based on the distribution density and distribution of the corresponding users, the distribution order of distribution information is determined and arranged in the distribution information DB (DLDB).

The information distribution execution processing unit 63 distributes (PUSH) the corresponding distribution information to the corresponding user via the user interface processing unit 21, and the information distribution processing management unit 64 stores the distribution time in the distribution log DB (PSDB). Record the number of users delivered.
The notification information editing processing unit 65 edits the distribution density and distribution status of the corresponding users and stores them in the notification information DB (NIDB). The notification information execution processing unit 66 transmits the communication information to the designated information provider via the interface processing unit 31, and the notification information processing management unit 67 records the notification time and the like in the notification log DB (PNLDB).
As a distribution method, a method of information distribution frequency, concentrated distribution within a certain time frame, or the like is determined according to the distribution density (gathering condition) of the user attribute. For example, if the cumulative number of users in those areas selected from areas with high density exceeds 50% of the total number of applicable users, distribution is made to that area.

(h) User reaction process for distribution information FIG. 10 is a block diagram of the ASP 17 that executes a user reaction process for distribution information.
Analyzes the time until the user reacts to the distributed information and information on the most recent location (location) where the user responds, and notifies the corresponding information provider. If the distribution information includes a means for recording the user's reaction (for example, cookie), the user's reaction can be analyzed.
That is, the user response acceptance processing unit 71 receives a response to the distribution information from the user via the user interface processing unit 21, and stores it in the user response master DB (URRDB). The user reaction analysis processing unit 72 analyzes user reactions from the user reaction master DB (URRDB), the user DB (DAUDB) in the designated area, the target information provider DB (OIPDB), the distribution log DB (PSDB), etc. And store the result in the user reaction analysis log DB (URADB).

The notification information execution processing unit 66 transmits the notification information to the designated information provider via the interface processing unit 31, and the notification information processing management unit 67 records the notification time and the like in the notification log DB (PNLDB). The analysis result report creation processing unit 73 creates an analysis result report based on the analysis result.
By statistically processing the reaction analysis, ASP 17 can be a new source of revenue as marketing information. That is, it is possible to objectively evaluate the information distribution effect by receiving and storing and analyzing the user's reaction to the distributed information. Therefore, based on the evaluation, it is possible to provide the information provider with advice on the information distribution target area and the content of the information to be distributed, and to provide this advice service for a fee.

(D) Embodiment of a method for estimating the effect of information distribution An embodiment of a method for the ASP to estimate the effect of information distribution based on the distribution state of terminals is shown below.
(A) First Example In the first example, (1) the server system (ASP) has a distribution density for each attribute registered by a service user in the specified area. The priority (distribution order) of information distribution to the area is determined by the difference.
(2) In addition, the server system (ASP) notifies the information provider that has registered the information notice that matches the attribute according to the distribution density for each attribute of the service user, and provides the information. Encourage the provision of information to be distributed from vendors.

FIG. 11 is a processing flow of the first embodiment. As shown in FIG. 12, it is assumed that the distribution density of attribute A in region X = D _AX , the distribution density of attribute B = D _BX , and the distribution density of attribute C = D _CX .
First, region X is designated (step 101). Next, the distribution densities D _AX , D _BX , and D _CX of the user attributes A / B / C in the region X are calculated (step 102). Once the distribution densities D _AX , D _BX , and D _{CX of} each attribute are obtained, each obtained distribution density is checked to see if it is greater than or equal to the set threshold (step 103). The distribution density is excluded from the process (step 104). Next, the density rank of the obtained density distribution is determined (step 105). After the density ranking is determined, either A or B processing, or both A and B processing are performed. Which to do depends on a contract with an information provider in advance.
In the processing flow of A, registered distribution information that matches the attribute of the information provider located in the region X is extracted (step 106). Then, the distribution order is determined according to the distribution density (step 107), and the corresponding distribution information is distributed (PUSH) to the users in the region X (step 108). As for the distribution order, if the distribution density is in the order of D _AX > D _BX > D _CX , the distribution priority of the corresponding distribution information is also given the attribute A information with the highest priority or higher priority. Thereafter, the above process is repeated while changing the region X.

In the processing flow of B, information providers that are located in the region X and registered for information distribution matching the attribute are extracted (step 109). Then, it is notified that users with attributes matching the corresponding information provider are gathered in region X (step 110). Thereafter, the above process is repeated while changing the region X.
In step 109, for example, the following logical expression
(Information provider who registered information distribution in attribute A) OR (Information provider who registered information distribution in attribute B) OR (Information provider who registered information distribution in attribute C)
The information provider is extracted using the relational expression. Further, in step 110, the order of distribution density and the distribution density may be notified.

(B) Second embodiment (single zone / single attribute)
FIG. 13 is an explanatory diagram of the second embodiment.
(1) The server system (ASP) calculates the distribution density D _AX , D _AY for a certain attribute A in the specified region X and the region Y in the region, and the difference (1) in the first embodiment is calculated. As in (2), the priority (distribution order) of information distribution to the regions X and Y is determined. However, the area X is sufficiently larger than the area Y (X >> Y).
(2) In addition, the information provider that has registered the notification information that matches the user's attribute is notified to that effect, and the provision of distribution information is encouraged.

FIG. 14 is a processing flow of the second embodiment.
First, the distribution density D _AX of the attribute A in the region X is calculated (step 201). Next, the region Y in the region X is designated (step 202), and the distribution density D _AY of the attribute A in the region Y is calculated (step 203).
The distribution density D _AX is compared with the distribution density D _AY to check whether D _AX <D _AY (step 204). If D _AX ≧ D _AY , another region in region X is designated (step 205), and the processing from step 203 is repeated.
On the other hand, if D _AX <D _AY , the distribution density of the attribute A is higher in the region Y than in the surrounding area (the entire region X). That is, there are many users of the service who have registered the attribute A from the surroundings in the region Y. In such a case, for example, the processes of A1, B1, and C1 are performed in order. Which of A1, B1, and C1 is performed depends on a contract with an information provider.

In the processing flow of A1, registered distribution information that matches the attribute A of the information provider located in the region Y is extracted (step 206). Next, the corresponding distribution information is distributed (PUSH) to users in the region Y. (Step 207).
In the processing flow of B1, information providers who are located in the region Y and register information distribution matching the attribute A are extracted (step 208). Next, the information provider is notified that users with attributes matching the extracted information provider are gathered in region Y (step 209).
In the processing flow of C1, information providers that are located in the region X and registered for information delivery that matches the attribute A are extracted (step 210). Next, the information provider is notified that users with attributes matching the extracted information provider are gathered in region Y (step 209). Priority is given to distribution to users in region Y rather than distribution of the corresponding distribution information to users in region X.
After the processing in steps 207 and 209, another region in region X is designated, or the attribute is changed and the same processing as described above is performed.

(C) Third embodiment (single zone / multiple attributes)
FIG. 15 is an explanatory diagram of the third embodiment.
(1) The server system (ASP) determines the priority (distribution order) of information distribution to the region X based on the difference in distribution density of multiple attributes in the specified region X and the region Y within the region. . However, the area X is sufficiently larger than the area Y (X >> Y).
(2) In addition, the information provider that has registered the notification information that matches the user's attribute is notified to that effect, and the provision of distribution information is encouraged.

FIG. 16 is a processing flow of the third embodiment.
First, the distribution density (D _AX , D _BX , D _CX ) of user attributes A / B / C in region X is calculated (step 301). Next, the region Y in the region X is designated (step 302), and the distribution density (D _AY , D _BY , D _CY ) of the user attributes A / B / C in the region Y is calculated (step 303). When the calculation of the distribution density is completed, the density rank of the obtained distribution density is determined (step 304). It is assumed that the distribution densities D _AY , D _BY and D _CY are all greater than the corresponding distribution densities D _AX , D _BX and D _CX .
Thereafter, the processes of A1, B1, and C1 are performed in order. Which of A1, B1, and C1 is performed depends on a contract with an information provider.

In the processing flow of A1, registered distribution information that matches the attributes A, B, and C of the information provider located in the region Y is extracted (step 305). Next, the distribution order is determined according to the distribution density (step 306), and the corresponding distribution information is distributed (PUSH) to users in the region Y (step 307).
Next, information providers that are located in the region Y and registered with information distribution that matches the attribute are extracted (step 308), and users with attributes that match the corresponding information provider gather in the region Y. (Step 309).
After that, an information provider who is located in the region X and registered with information distribution matching the attributes A, B, and C is extracted (step 310), and a user having an attribute matching the corresponding information provider is extracted. Notifies that it is gathered in the region Y (step 310).
For example, if the distribution density is in the order of D _AY > D _BY > D _CY , the distribution priority of distribution information is set to the information corresponding to the attribute A with the highest priority or higher priority.

(D) Fourth embodiment (multiple zones / single attribute)
FIG. 17 is an explanatory diagram of the fourth embodiment.
(1) The server system (ASP) is used in the designated area X and the areas Y, Z, and W in the area (the area of area X is sufficiently larger than the areas of areas Y, Z, and W). The priority (distribution order) of information distribution to the areas Y, Z, and W is determined by the difference in distribution density of a certain attribute A.
(2) In addition, the server system (ASP) notifies the information provider registering the notification information that matches the user's attribute to urge the provision of distribution information.

FIG. 18 is a processing flow of the fourth embodiment.
The distribution density D _AX of the user attribute A in the region X is calculated (step 401). Next, the region Y / Z / W in the region X is designated (step 402), and the distribution density D _AY, D _AZ, D _AW of the attribute A in the region Y / Z / W is calculated (step 403). If the distribution densities D _AY, D _{AZ, and} D _AW are calculated, the density rank of these distribution densities is determined (step 404).
Thereafter, the processes of A1 and B1 are performed in order. Which of A1 and B1 is performed depends on a contract with an information provider.
In the processing flow of A1, registered distribution information that matches the attribute A of the information provider located in the region X is extracted (step 405). Next, the order of regions to be distributed is determined according to the distribution density (step 406), and the corresponding distribution information is distributed (PUSH) to users in the region Y / Z / W in that order (step 407).
Next, in the processing flow of B1, information providers that are located in the region X and registered with the information distribution matching the attribute A are extracted (step 408), and each region (Y / Z / W) is notified (step 409).

(E) Fifth Embodiment FIG. 19 is an explanatory diagram of the fifth embodiment.
The server system (ASP) regards the designated information provider Q as a landmark, and moves into the region X according to the distribution (distribution) of the distribution of the user attributes specified in the region X around it. The information distribution method ((1) to (3) below) is determined.
(1) When the information provider Q has already registered information distribution according to a plurality of user attributes, the priority (distribution order) of information distribution into the region X is determined.
(2) The frequency of information distribution and the method of intensive distribution within a certain period of time are determined according to the degree of dispersion (distribution) of the users in region X.
(3) When the information provider Q registers information notifications corresponding to multiple user attributes, the information provider Q notifies the information provider Q of the dispersion of each user attribute, and is distributed from the corresponding information provider Encourage the provision of

標準偏差S_AXは図21に示す値であり、標準偏差S_AXが大きいということは、密度の大小のバラツキが大きい、すなわち、分布に偏りが大きく、どこかに集中していると推定できる(図20のaを参照)。逆に、小さいほど分布が均一である(図20のｂを参照)。 By repeatedly comparing the distribution density of users in each unit block around the landmark Q with the distribution density of users in each unit block near the outer edge of the region X, the degree of gathering of service users around the landmark is obtained. I can do it. As another method, as shown in FIG. 20, there is a method in which the standard deviation (= S _AX ) of the distribution density around the landmark Q is obtained and judged. That is, the average density is calculated from the distribution density (D _AX1 , D _AX2 , .... D _AXm ) of the attribute A of the subdivided area (X ₁ , X ₂ ....... X _m ) within the region X, The standard deviation S _AX indicating the degree of dispersion is obtained by the following equation, and the degree of collection of the attribute A around the landmark is determined from the standard deviation S _AX .

The standard deviation S _AX is the value shown in FIG. 21, and the large standard deviation S _AX can be estimated that there is a large variation in density, that is, the distribution is highly biased and concentrated somewhere ( (See a in FIG. 20.) Conversely, the smaller the distribution, the more uniform the distribution (see b in FIG. 20).

FIG. 22 is a processing flow of the fifth embodiment.
An information provider Q is designated (step 501), and a region X centered on the information provider Q is designated (step 502). Next, the distribution density in the region X corresponding to the attribute of the user registered by the information provider Q is calculated (step 503). For example, when the information provider Q registers information distribution for the user attributes A, B, and C, the distribution density of each attribute is calculated.
Thereafter, the distribution density corresponding to the attribute is calculated for each unit section in the region X (step 504). A standard deviation is calculated for each attribute using the distribution density obtained as described above (step 505).

Thereafter, the processes of A1 and B1 are performed in order. Which of A1 and B1 is performed depends on a contract with an information provider.
In the processing flow of A1, the information provider Q extracts distribution information that matches the attribute registered in the ASP (step 506).
It is determined whether the obtained standard deviation is equal to or greater than the “threshold value”, that is, whether the user is gathering (step 507).
If the standard deviation is greater than or equal to the “threshold”, there are places where users are gathering, so the order of distribution is determined according to the standard deviation for each attribute (step 508), and the corresponding distribution information is stored in the region X Distribution (PUSH) to users of individual attributes (step 509).
On the other hand, if the standard deviation is equal to or smaller than the “threshold value” in step 507, the handling of the attribute information is determined (step 510). If it is determined not to be distributed, it is not distributed. Distribution information is distributed to the corresponding users in region X (step 511). Whether or not to distribute includes defining or specifying the distribution condition in such a case in advance in the registration conditions of the information provider.
When the processing according to the flow of A1 is completed, the result of the standard deviation of each attribute is notified to the information provider Q in the flow of B1 (step 512).

For example, when the obtained standard deviation is the order of S _AX > S _BX > S _CX , the users of the attribute A are most concentrated around the information provider Q, so the distribution priority of distribution information As for frequency, attribute A is prioritized.
In step 508, when the information provider is a retail / distribution business, a method of distributing intensive information in a short time is possible in order to make the store visit more powerful. Further, in step 509, the area where the information is distributed can be narrowed from the area X to the periphery of the information provider Q (landmark) and limited to limit the distribution effect, thereby improving the distribution effect.

(F) Sixth Embodiment FIG. 23 is an explanatory diagram of the sixth embodiment. X is an area where the distribution density of attribute A is high, and Q ₁ is an information provider who registers information distribution for attribute A located in area X. Information providers Q ₂ and Q ₃ also register information distribution for attribute A. The only difference is the distance from region X.
Information providers Q ₁ , Q ₂ , and Q ₃ have different inevitability in the content of information delivered to users of attribute A in region X. For example, in the case of an industry in which the information provider sells goods in the retail / distribution industry, in order to induce users who are densely distributed in region X and connect them to sales (visiting stores), region X and Q ₂ and The distances r ₁ and r ₂ up to Q ₃ must be able to move within the daily activity time. Just because Kyushu has a highly distributed area, it is not necessary for stores located in Tokyo to distribute information to the Kyushu area.
The server system (ASP) determines the industry of the information provider, and distributes it to the information provider taking into account the distance and time of the attribute distribution area of the user that the information provider intends to distribute. Request information that goes into the content of the information.

FIG. 24 is a processing flow of the sixth embodiment.
The server system (ASP) confirms that there is a region X having a high distribution density of attribute A (step 601). Information providers who register information distribution for attribute A are extracted (step 602). It is determined whether the distance between the location of the extracted information provider and the region X is an appropriate distance for information notification (step 603). If it is not a reasonable distance, the process is terminated.
However, if the distance is reasonable, it is determined whether the arrival time is valid based on the current time and the time required for the movement to the location of the extracted information provider (step 604). The user (in area X) determines the possibility of moving to the location of the information provider within the general life activity time.
If a reasonable time cannot be reached, the process is terminated. On the other hand, if the appropriate time can be reached, the selected information provider is sorted and arranged according to the distance from the region X (step 605). Thereafter, the corresponding information provider is notified that the area X has a high distribution density of the attribute A (step 606).

(G) Seventh Example In the seventh example, based on the prediction formula of the time change of the user distribution, a region and time when the density of a specific attribute is high is predicted and the information provider is notified accordingly. , The information content to be distributed is made to increase the notification effect.
When focusing on a certain attribute, it is expected that the region (= location) X having a high distribution density will change with time as shown in FIG. 25 (the region also changes with time). Therefore, the server system (ASP) can improve the accuracy of prediction of regional displacement (= characteristic) of the user attribute distribution density from accumulation of time course and data accumulation. As an example, the server system (ASP) infers that this displacement can be approximated by an approximate expression as shown in FIG. 1 is an approximate expression showing the time series change of the attribute A expressed by y = at, and 2 is an approximate expression showing the time series change of the attribute B expressed by y = bt. The unit of time-series change can be regarded as “1 day”, “day of the week”, “monthly degree”, and “year”.

FIG. 27 shows the processing flow of the seventh embodiment, predicting the region and time when the distribution density of a predetermined attribute is high by an approximate expression showing the time series change obtained by the server system (ASP), and telling the information provider This makes it possible to increase the notification effect of the contents of information to be distributed.
First, the server system (ASP) collects a change log of distribution density in each attribute (step 701). Next, it is checked whether or not change logs sufficient for calculating the approximate expression are collected (step 702). If not collected, the collection is continued, and if collected, an approximate expression for the attribute is defined (step 703). Next, an information provider corresponding to (a target of) a place with a high distribution density obtained by the approximate expression is extracted (step 704). After that, the extracted information provider is notified of the prediction based on the approximate expression (step 705).

(H) Eighth Example The eighth example is an example where the content provider that provides information such as event information, traffic information, aviation information, and parking lot information is an information provider.
Consideration should be given to the need to increase the relative value of information provided by content providers and the economics (cost-effectiveness) by diversifying consumer values and fluidizing behavior. The distribution of information on a certain event will be described as an example. Figure 28 shows the distribution of users of this service who are highly interested in the event and registered this kind of information provision in Area X ₁ and Area X ₂ in Area X including the event site EVP. Suppose that In such a case, it is more cost-effective to distribute information to the high-density areas X ₁ and X ₂ that expect this kind of information than to announce the event to the entire area X. Delivery effect can be expected. This means that the distribution (gathering) of the corresponding users serves as a guideline (standard) for economic rationality and distribution effect. In this embodiment, the content provider is an information provider.

FIG. 29 is a processing flow of the eighth embodiment.
The server system (ASP) searches the regions X1 and X2 where the distribution density of users interested in the event is high in the region X (step 801). Next, an information provider (content provider) who registers information distribution for the event is extracted (step 802), and the distribution density of users interested in the event in the regions X1 and X2 is high with respect to the content provider. Is notified (step 803).
FIG. 30 is a system configuration diagram of the content provider side in the eighth embodiment. The content provider's notification reception processing unit 81 uses the ASP interface processing unit 80 to ASP the survey results such as the distribution status (gathering status) of users of this service that are seeking distribution information (attributes) in the specified region X. Is stored in the notification reception log RLDB.

Next, the notification reception processing unit 82 extracts the content to be distributed from the distribution content master DB (CMTDB) managed and maintained on the content provider side based on the investigation result of the ASP, and the distribution target content DB ( (DOCDB).
After that, the notification reception processing unit 83 edits the distribution content, considering the conditions such as the distribution order and frequency of the distribution target content from the investigation result of the server system (ASP) and the contract conditions registered in advance by the content provider, Store in the edited distribution contents DB (EDCDB). The distribution content transmission processing unit 84 requests the server system (ASP) to distribute the distribution content stored in the edited distribution content DB (EDCDB) to the user.

(I) Modifications As shown in the above embodiments, the feature of the present invention is that it enables more effective information distribution after capturing the dynamic change of a moving consumer in daily life space. It is that. That is, the present invention enables customized marketing, which is difficult to realize by conventional marketing, and dynamic marketing in an environment in which the consumer is moving and changing in everyday space.
So far, in the retail distribution sector, demand forecasts such as sales forecasts and customer forecasts when opening stores have been based on several laws such as Riley forecasts, Converse forecasts, Hough models, etc. The underlying idea is that it is based on the local population. However, the population is only a static factor, and the flow of consumption is increasing due to the increased mobility of consumers in everyday spaces due to the development of transportation periods and the spread of communication means, and the diversification of consumer preferences. At present, when the performance is high, it is difficult to expect a satisfactory result only by using a demand prediction method that has been conventionally used.

Therefore, the distribution densities Pa and Pb and the distances Da and Db to the information provider in the area where the users of the attributes a and b are present are applied to Riley's law. In this way, it is possible to determine to which of the users a and b the information is distributed preferentially, and the information content corresponding to the attribute can be determined.
In addition, distribution densities Pa and Pb in a region where users with attributes a and b are present, and a distance Dab between the regions are applied to the formula for Converse. In this way, the trade area branch point of the information provider can be obtained, and the range of information distribution can be grasped based on the trade area branch point.
In addition, by setting the sales area in the Hough model as the information distribution frequency of the specified information provider located in the area and n being the information provider of the same industry located in the area, the probability of action from point i to point j Can be calculated.
As described above, the present invention enables daily dynamic (real-time) behavior prediction of consumers.

・ Supplementary Note (Supplementary Note 1) A server system and an information provider terminal connected to the server system via a network, and a server via the network for a portable mobile information terminal of a service user who has registered the use of the information provision service In an information distribution service providing system that distributes information requested by an information provider from the system,
The information provider terminal comprises means for designating distribution conditions such as information contents to be distributed to the server system, information distribution area and service user attributes,
The server system is
Means for monitoring a distribution state of the service users of the attribute in the information distribution area designated by the information provider based on position information from a service user who has registered the use of the information providing service;
Means for delivering predetermined information to the portable mobile information terminal of the service user of the attribute based on the distribution state;
An information distribution service providing system characterized by comprising:
(Supplementary Note 2) A server system and an information provider terminal connected to the server system via a network are provided from the server system via the network to the mobile mobile information terminal of the service user who has registered the use of the information providing service. In an information distribution service providing system that distributes information requested by an information provider,
The server system is
(a) a means for receiving and storing distribution conditions such as an area designated by the information provider through an interface for exchanging various information with the information provider;
(b) It has an interface for exchanging various information with the mobile mobile information terminal possessed by the service user, and the location information of the service user sent autonomously or in response to an inquiry from the server system through it. Means for receiving and storing;
(c) means for extracting and storing service users in the area designated by the information provider;
(d) A means for dividing the area designated by the information provider into unit sections of appropriate small area and storing the area as a set, identifying service users in each unit section, and identifying each unit Means for calculating and storing distribution density and variance for each attribute of the service user for each partition;
(e) means for editing predetermined information designated by the information provider based on the calculated distribution density and variance of each attribute and notifying the information provider;
(f) means for receiving and storing the location of the information provider;
(g) means for receiving and storing information to be distributed from the information provider;
(h) means for receiving and storing distribution conditions such as attributes of service users to be distributed and information about distribution destinations from information providers;
(i) A service user to be distributed is extracted based on distribution conditions such as the attribute and distribution destination information, and the distribution information received from the information provider from the calculated distribution density and distribution result of each attribute. Means for determining an effective distribution method and transmitting the distribution information to the user using the method;
An information distribution service providing system characterized by comprising:
(Appendix 3) The server system
As a means to calculate the distribution density for each user attribute,
Means for determining and storing the area of the designated area;
Means for extracting a user having a specified attribute from service users residing in a specified area and storing the number,
Means for calculating and storing a distribution density using the area and the number of users having the specified attribute;
Means for storing distribution density and distribution time-series changes for each user attribute in any area specified by the information provider or server system operator,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 4) The server system
Means for determining an effective distribution method (number of distributions, distribution order, distribution frequency, etc.) of distribution information received from the information provider from the calculated result;
Means for transmitting the distribution information to the service user based on the criteria specified by the information provider or server system operator;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 5) The server system
A means of accepting and storing user responses to information delivered (time from information delivery to response, user location information, etc.), and statistical analysis,
Means for notifying the information provider and server system operator of the result,
Means for notifying the information provider and the server system operator of the calculated result and a change prediction based on the result;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 6) The server system
A means for registering the location of the information provider that distributes information, the location of the sales base, the information to be distributed, the attributes and distribution conditions of the user of the distribution destination in the agreement of the information provider,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 7) The server system
A means of accepting requests to change, suspend, cancel, or start registered content related to distribution registered from an information provider;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 8) The server system
A means to appropriately maintain and manage information provider information registered by the information provider, requests for changes in distribution content, etc .;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 9) The server system
In the area specified by information providers and server system operators,
Means for accepting an information request regarding a distribution state of a user attribute for which the information provider expects an effect such as an increase in sales through information distribution;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 10) The server system
Means for notifying the request source of the investigation results requested by the information provider or server system operator;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Appendix 11) The server system
A means for storing a region designated by an information provider or server system operator and storing it as a set of data in a form that can calculate the area of the designated region from map information,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary note 12) The server system
Means for storing the location information of the service user and maintaining and managing the location information displacement of the user;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary note 13) The server system
Means for extracting and storing service users who are located in an area designated by the information provider or server system operator and correspond to the user attributes designated by the information provider or server system operator The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 14) As a means for calculating the distribution density for each user attribute, the server system includes:
Means for determining and storing the area of the designated area;
Means for extracting a user having a specified attribute from service users residing in a specified area and storing the number,
Means for calculating and storing a distribution density using the area and the number of users having the specified attribute;
The information distribution service provision according to appendix 2, characterized by comprising:
(Supplementary Note 15) The server system
As a means to calculate the distribution density for each user attribute,
Means for dividing a designated area into a plurality of areas of a small area, expressing and storing each area as a set of data whose area can be calculated, and obtaining and storing those areas;
Means for extracting a user having a specified attribute from service users located in an arbitrary area and storing the number,
Means for calculating and storing a distribution density using the area and the number of users having the specified attribute;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 16) The server system
The distribution density of a plurality of designated user attributes is compared in a single corresponding area where the distribution density is calculated, and the area in the area designated by the information provider or server system operator is compared. A means of calculating the distribution density difference for each user attribute and determining its ranking,
An information distribution service providing system according to supplementary note 15, characterized in that
(Supplementary Note 17) The server system
Compare the distribution density of a specified single user attribute in multiple corresponding areas where the distribution density is calculated, and multiple areas in the area specified by the information provider or server system operator A means to calculate the difference in distribution density of user attributes and determine its ranking,
An information distribution service providing system according to supplementary note 15, characterized in that
(Supplementary Note 18) The server system
A means for determining a method of information distribution frequency, intensive distribution within a certain time frame, etc. according to the distribution density of the user attribute,
18. The information distribution service providing system according to appendix 14, 16 or 17, characterized by comprising:
(Supplementary note 19) The server system
Means for determining an effective distribution method (distribution count, distribution rank, distribution frequency, etc.) of distribution information received from an information provider from the calculated distribution density for each user attribute;
Means for transmitting the information delivery to the service user based on a predetermined standard or a standard designated by an information provider or server system operator;
18. The information distribution service providing system according to appendix 14, 16 or 17, characterized by comprising:
(Supplementary note 20) The server system
A means for distributing information based on the standard set by the information provider or server system operator based on the predetermined number or the real number of users in each area,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary note 21) The server system
Means for calculating a variance of a specified user attribute distribution in the area from the calculated distribution density for each user attribute;
An information distribution service providing system according to supplementary note 15, characterized in that
(Appendix 22) The server system
Means for distributing information on the basis of a predetermined standard for distribution of the calculated use attribute persons or a standard specified by an information provider or a server system operator;
An information distribution service providing system as set forth in appendix 21, characterized by comprising:
(Supplementary Note 23) The server system
Means for notifying the obtained information to a requesting information provider or server system operator;
The information distribution service providing system according to any one of supplementary notes 14, 15, and 18-22.
(Supplementary Note 24) The server system
Based on the obtained result, the information registered in advance by the information provider for distribution is changed to the distribution density and distribution for each user attribute located in the area, the distribution condition specified in advance by the information provider, etc. Therefore, means to notify the relevant users in the area,
The information distribution service providing system according to any one of supplementary notes 14, 15, and 18-22.
(Supplementary Note 25) The server system
Means for estimating the distance between the area where the distribution density is calculated and the location or sales base of the corresponding information provider,
An information distribution service providing system according to supplementary note 15, characterized in that
(Supplementary Note 26) The server system
Means for calculating temporal factors such as estimated travel time of the user from the area where the distribution density is calculated to the location of the information provider and the sales base;
An information distribution service providing system according to supplementary note 15, characterized in that
(Supplementary note 27) The server system
A means for creating and editing a recommendation for the information content distributed by the information provider from the calculated result,
An information distribution service providing system according to appendix 26, comprising:
(Supplementary Note 28) The server system
Means for notifying the information provider of the prepared recommendation content;
An information distribution service providing system according to appendix 27, comprising:
(Supplementary note 29) The server system
Means to record distribution density and variance time series for each user attribute in the area specified by the information provider or server system operator,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 30) The server system
Calculate the regional characteristic change for each user attribute from the obtained results (distribution density and variance time series for each user attribute), and within the specified area or the area specified by subdividing the area Means for estimating an approximate function of time-series changes of user attributes in
An information delivery service providing system as set forth in appendix 29, comprising:
(Supplementary Note 31) The server system
Means for obtaining prediction data of distribution change of user attributes or regional change of time distribution or time change based on the estimated result in response to a request from an information provider, and notifying the information provider of the prediction data;
An information distribution service providing system according to supplementary note 30, characterized by comprising:
(Supplementary Note 32) The server system
A means for accepting and storing user responses to distributed information;
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 33) The server system
Means for analyzing the received user response (time from distribution time to user response, user location information at that time, etc.);
An information distribution service providing system according to supplementary note 32, comprising:
(Supplementary Note 34) The server system
Means for statistically processing the analysis result and outputting it to a report, etc.
34. An information distribution service providing system according to supplementary note 33, comprising:
(Supplementary Note 35) The server system
Means for notifying the information provider of the information distribution of the obtained statistical results,
34. An information distribution service providing system according to supplementary note 34, comprising:
(Supplementary Note 36) The server system is a means for performing registration of attribute information indicating a user's characteristics, a region of interest, and the like necessary for a type classification of distribution information requested by the service user in agreement of the user,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 37) The server system receives a request for changing, suspending, releasing, starting, etc. a service operation state registered from a service user,
The information delivery service providing system according to appendix 2, characterized by comprising:
(Supplementary Note 38) The server system
A means for accepting, processing, appropriately maintaining and managing requests for changes to registered information, information indicating user attributes registered by users,
The information delivery service providing system according to appendix 2, characterized by comprising:

1 is an example of a network system configuration to which the present invention is applied. 6 is a first flowchart of a schematic operation when a server system (ASP) to which the present invention is applied provides an information distribution service; It is a 2nd flowchart of schematic operation | movement in case the server system (ASP) to which this invention is applied provides an information delivery service. It is a 3rd flowchart of schematic operation | movement in case the server system (ASP) to which this invention is applied provides an information delivery service. It is a service user registration process explanatory drawing. Information provider registration processing. FIG. 11 is an explanatory diagram of a region designation / user attribute designation process and a user attribute distribution density calculation / user attribute distribution calculation process. It is a target information provider determination process. It is notification process explanatory drawing, such as a delivery mechanism determination process, such as a priority, and the distribution density according to user attribute, dispersion | distribution. It is user's reaction process explanatory drawing with respect to delivery information. It is a processing flow of 1st Example. It is distribution density explanatory drawing. It is explanatory drawing of 2nd Example. It is a processing flow of 2nd Example. It is explanatory drawing of 3rd Example. It is a processing flow of 3rd Example. It is explanatory drawing of 4th Example. It is a processing flow of 4th Example. It is explanatory drawing of 5th Example. This is the standard deviation around the landmark Q. Standard deviation S _AX . It is a processing flow of 5th Example. It is explanatory drawing of 6th Example. It is a processing flow of the sixth embodiment. The area (= location) with high distribution density is changing. It is an example of expressing the regional displacement of distribution density as a function. It is a processing flow of the seventh embodiment. It is explanatory drawing of the 8th Example. It is a processing flow of the eighth embodiment. FIG. 10 is a system configuration diagram on the content provider side in an eighth embodiment.

Explanation of symbols

10 Mobile mobile information terminals 11 _{1 to} 11 _n such as mobile phones and PDAs Base stations 12 Public mobile communication networks 14 Internet 15 Service providers 17 Server systems (ASP)
18 Information Provider 19 Location Information Generation and Transfer Function Unit

Claims (8)

Server system and an information provider terminal connected via a network to the server system, the more the server system via the network to the mobile information terminal of the service user who has registered the use of information distribution service information provider In an information distribution service providing system that distributes information requested from a terminal ,
The server system is
(a) means for receiving a distribution condition including the information provider terminal has designated area,
(b) means for receiving the location information of the mobile information terminal of the service user,
(c) means for extracting a mobile information terminal of a service user residing in an area designated by the information provider terminal based on the location information ;
; (d) the information provider terminal Separates the specified area to unit blocks of a predetermined area, to identify the mobile information terminal of the service user residing in the unit section of said each said each unit block Means for calculating a distribution density for each attribute of the identified mobile information terminal ;
(e) the information provider distributing the terminal information, and information distribution subject to service user mobile information terminal of the attributes of the means for receiving a distribution condition including delivery destination information,
(f) the attribute, extracting the mobile information terminal of the service user to be distributed based on the distribution condition including delivery destination information, received from the information provider terminal based on the results of the distribution density of each attribute that the calculated and to determine an effective delivery method of the distribution information, it means for transmitting the distribution information to the mobile information terminal to be distributed with the extracted using the method the determined,
An information distribution service providing system characterized by comprising: The server system is
As a means to calculate the distribution density for each user attribute,
Means for determining and storing the area of the designated area;
From the mobile information terminal of the service user residing in a given area, it means for extracting the mobile information terminal with the specified attribute,
Means for calculating a distribution density using the area and the number of mobile information terminals having the specified attribute ;
The information delivery service providing system according to claim 1 , further comprising: The server system is
From the result of the calculated, means for determining a distribution method for distributing information received from the information provider terminal,
The information delivery service providing system according to claim 1 , further comprising: The server system is
It means for statistical analysis based on the position information of the mobile information terminal of the response time and the user of the mobile information terminal of the user with respect to the distribution information,
A means for notifying change prediction based on the analysis result,
The information delivery service providing system according to claim 1 , further comprising: The server system is
As a means to calculate the distribution density for each user attribute,
The specified region is divided into a plurality of zones of a small area, each area as a collection of data-area can be calculated respectively, determined Mel means those areas,
Means for extracting a mobile information terminal having a specified attribute from mobile information terminals of service users located in an arbitrary area and storing the number thereof;
Means for calculating a distribution density using the area and the number of mobile information terminals of users having the specified attribute;
The information delivery service providing system according to claim 1 , further comprising: The server system is
Means for estimating the distance between the area where the distribution density is calculated and the location or sales base of the corresponding information provider;
Means for calculating a temporal element from the area where the distribution density is calculated to the location or sales base of the information provider;
Means for creating a recommendation for the information content distributed by the information provider from the calculated result ;
The information delivery service providing system according to claim 1 , further comprising: The server system is
Means for distributing information based on predetermined criteria from the real number of mobile information terminals of users in each area;
The information delivery service providing system according to claim 1 , further comprising: The server system is
It means for recording the time series change of any arbitrary in the area of the user attribute for each of the distribution density,
The information delivery service providing system according to claim 1 , further comprising:

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