JP2007279852A - Content distribution rule preparation system and content distribution rule preparation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To prepare a content distribution rule for achieving content distribution according to the purpose of a user. <P>SOLUTION: This content distribution rule preparation system is provided with a behavior model database 200 for storing a behavior model acquired by hierarchically modeling the behavior of a user; a basic behavior information database 201 for storing basic behavior information defined based on logical location information and the stay time of the user at the logical location; a behavior information management part 102 for associating the behavior model with the basic behavior information for management in order to prepare a content distribution rule; a location information mapping part 104 for deciding whether or not the logical location information can be associated with physical location information based on the information relating to a sensor which detects the physical location information showing the physical location of the user; and a valid content distribution rule extraction part 105 for extracting a content distribution rule constituted of the basic behavior information which can be associated with the physical location information as a valid content distribution rule. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a content delivery rule creation system and a content delivery rule creation method for creating a content delivery rule for delivering content to a user.

2. Description of the Related Art Conventionally, as a content providing method, a method of providing content according to user location information is known. As a content provision method using the user's location information, determine the traffic route from the information related to travel by commuter pass, obtain information (such as advertisements) of bases that can be used when using the traffic route, A method of transmitting to a user terminal has been proposed (see, for example, Patent Document 1).
Japanese Patent No. 3372935

  In the above method, in order to deliver content to the user according to the user's current location information, the content is delivered by a content delivery rule that specifies the user's physical location information, and the user's time-series behavior transition The content according to the user cannot be distributed, and the content distribution according to the user's purpose (behavior) cannot be realized. In order to distribute the content according to the user's time-series behavior transition, it is necessary to create a content distribution rule considering the user's purpose.

  In view of the above problems, an object of the present invention is to provide a content distribution rule creation system and a content distribution rule creation method capable of creating a content distribution rule for realizing content distribution according to a user's purpose.

  In order to solve the above problems, a first feature of the present invention shows a behavior model database that stores a behavior model in which user behavior is modeled hierarchically, and a logical position for estimating the user behavior. To create a basic behavior information database that stores basic behavior information defined by logical location information and user's stay time at the logical location, and to create a content distribution rule defined by combining the basic behavior information, Logical location information corresponds to physical location information based on information related to a behavior information management unit that manages the model and basic behavior information in association with each other and a sensor that detects physical location information indicating the physical location of the user. A content distribution rule consisting of a location information mapping unit that determines whether or not it can be attached, and basic behavior information that can be associated with physical location information, And summarized in that a content distribution rule generating system comprising an effective content distribution rule extracting unit that extracts as a valid content distribution rule.

  The second feature of the present invention is that, in the content delivery rule creation system according to the first feature, when the content delivery rule includes basic behavior information that cannot be associated with physical location information, The gist is to further include a basic action information substitution unit that substitutes basic action information that cannot be associated with position information with basic action information that can be associated with physical position information.

  The gist of a third feature of the present invention is that the content distribution rule creation system according to the first or second feature further includes a sensor information acquisition unit that acquires information about the sensor via a network.

  A fourth feature of the present invention is the content distribution rule creation system according to the first to third features, further comprising a behavior model description unit that describes a behavior model, and the behavior model description unit inhibits a user's behavior. A disturbing event description part describing an event as a disturbing event, a coping action description part describing a coping action against the disturbing event, a preventive action description part describing an action for preventing the disturbing event, and a user action A method description unit that describes at least one method for achieving, and a user information addition unit that assigns at least one of user context information or user profile information that determines a user's possible action to a behavior model as a filtering condition The gist is to provide.

  According to a fifth feature of the present invention, in the content delivery rule creation system according to the fourth feature, the behavior model description unit refers to the existing behavior model when creating a new behavior model, and only the necessary behavior is obtained. The gist of the present invention is to further include an action model reference unit that adds a behavior model expansion unit that changes or deletes a part of the existing behavior model itself when a new behavior model is created.

  According to a sixth aspect of the present invention, in the content delivery rule creation system according to the fifth aspect, the behavior model description unit manages a behavior model that can be reused in common for each attribute of the behavior model as a library. The gist is to further include a library management unit.

The seventh feature of the present invention is that a step of storing a behavior model obtained by hierarchically modeling a user's behavior is stored, logical position information indicating a logical position for estimating the user's behavior, and a logical position. In order to create a content distribution rule that is defined by combining basic behavior information with a step of storing basic behavior information defined by the user's stay time at the site, the behavior model and basic behavior information are managed in association with each other Determining whether the logical position information can be associated with the physical position information based on information relating to a sensor that detects physical position information indicating the physical position of the user, A content distribution rule including basic behavior information that can be associated with position information is extracted as a valid content distribution rule. The gist that it is a trust rule creation method.

  ADVANTAGE OF THE INVENTION According to this invention, the content delivery rule creation system and content delivery rule creation method which can create the content delivery rule for implement | achieving the content delivery according to the user's objective can be provided.

  Next, an embodiment of the present invention will be described with reference to the drawings. In the description of the drawings in the following embodiments, the same or similar parts are denoted by the same or similar reference numerals.

(Example of overall configuration of content distribution system)
First, an overall configuration example of a content distribution system to which a content distribution rule creation system according to an embodiment of the present invention is applied will be described.

  As shown in FIG. 1, the content distribution system includes a portable terminal 502 held by the user, a sensor unit 400 that detects user location information, a content distribution device 500 that distributes content to the user, and a distribution to the user. A content DB 501 that stores content and a content distribution rule creation system 1 that creates content distribution rules are provided. Here, “content” means advertising content, for example, and includes text data, image data, audio data, or a combination thereof.

  The sensor unit 400 is, for example, a device that is installed in a certain facility or store and can communicate with the mobile terminal 502 at a short distance. As the sensor unit 400, as shown in FIG. 2, for example, a plurality of RF-ID tags (hereinafter simply referred to as “RF tags”) 40a to 40l can be used. Each of the RF tags 40a to 40l is an active RF tag capable of autonomous transmission, and transmits different tag IDs at regular intervals. For this reason, the portable terminal 502 can use the tag IDs of the plurality of RF tags 40a to 40l as position information. It is desirable that information such as position information and operating status of each of the RF tags 40a to 40l can be transmitted as sensor information to the content distribution rule creation system 1 via the network 401. Note that the mobile terminal 502 may acquire position information using not only an RF tag but also a GPS (Global Positioning System) or the like.

  Hereinafter, position information detected using an RF tag or GPS is referred to as “physical position information”, and arbitrarily definable position information for estimating user behavior is referred to as “logical position information”. Call.

  The portable terminal 502 is a terminal having a wireless data communication function. As the mobile terminal 502, for example, a mobile phone terminal, a PHS (Personal Handyphone System) terminal, or a PDA (Personal Digital Assistance) equipped with a wireless communication card can be used. The portable terminal 502 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), an internal clock, and a communication interface (not shown) as hardware configurations. Programs and databases are stored in the ROM of the portable terminal 502.

  The mobile terminal 502 includes a position information acquisition device that communicates with the sensor unit 400 and acquires the physical position information of the mobile terminal 502. When an RF tag is used as the sensor unit 400, an RF tag tag reader is used as the position information acquisition device. The physical location information detected by the portable terminal 502 is notified to the content distribution apparatus 500 via the network 503, for example.

  The content distribution device 500 distributes content to the mobile terminal 502 based on the content distribution rule received from the content distribution rule creation system 1 via the network 504. The “content distribution rule” specifies a specific action pattern (action series) of the user, and the content is distributed to the user who has acted in accordance with the content distribution rule. The content DB 501 records the contents to be distributed to the user in association with the content distribution rules for distributing the contents. As the networks 401, 503, and 504, a mobile communication network, a LAN, a WAN, the Internet, an intranet, or a combination thereof can be used.

(Content distribution rule creation system)
Next, the outline of the content distribution rule creation system 1 will be described with reference to FIG. The content distribution rule creation system 1 includes a content distribution rule creation device 100, a behavior model DB 200, a basic behavior information DB 201, a user behavior instance DB 202, a content distribution rule DB 203, a logical position information DB 204, a sensor information acquisition unit 300, and physical position information. A DB 301, a behavior model description device 600, and a distributable rule DB 701 are provided. Details of the behavior model description device 600 will be described later.

  The content distribution rule creation device 100 manages data necessary for creating a content distribution rule, and generates a content distribution rule that can actually be used from sensor information. When a plurality of RF tags are used as the sensor unit 400, “sensor information” means information such as the tag ID, installation location, and operating status of each RF tag.

  The behavior model DB 200 accumulates behavior models describing user behavior as a hierarchical structure. Specifically, the behavior model DB 200 hierarchically models and stores user behavior in a certain facility or store. In the upper hierarchy of the behavior model DB 200, main actions of users that occur in a certain facility or store are arranged. On the other hand, in the lower hierarchy of the behavior model DB 200, actions that are specific and detailed actions of the upper hierarchy are arranged. Each action in the action model is assigned an action ID that uniquely identifies the user's action.

  The basic behavior information DB 201 stores “basic behavior information” defined by combining the logical position information and the time during which the user stays at the logical position indicated by the logical position information. As an example, the basic action information DB 201 stores logical position information that identifies a logical position, a user's stay time at the same logical position, and a basic action ID that uniquely identifies the basic action. . For example, an upper limit value of the staying time is set as the staying time of the user.

  The user behavior instance DB 202 holds a correspondence relationship between behaviors in the behavior model and basic behavior information. That is, the user behavior instance DB 202 stores the behavior ID of each behavior in the behavior model and the basic behavior ID in association with each other.

  In this way, user behavior can be modeled hierarchically and associated with basic behavior so that it can be searched and reused based on the meaning and purpose of the user's behavior, and the behavior model can be extended based on the existing behavior model. It becomes easy. For example, even if the store is different from “eating at store A”, “eating at store B”, etc., a content distribution rule can be created based on the behavior of eating the same meal.

  The content distribution rule DB 203 holds content distribution rules that combine basic action sequences (hereinafter referred to as “behavior sequences”). The content distribution rule is described using, for example, a regular expression. A regular expression is a notation method for expressing a pattern of a character string, and is used for searching or replacing a character string. The content distribution rule DB 203 stores the content distribution rule and content information indicating the content to be distributed in association with each other.

  Since the logical position information DB 204 associates the logical position information with the physical position information, the ID of the sensor installed at the place indicated by the logical position information, the GPS position information of the place indicated by the logical position information, or Holds data such as specific sections and coordinates. Specifically, the logical position information DB 204 stores a logical position information ID and a physical position information ID that uniquely identifies the physical position in association with each other. In addition, when using a some RF tag as the sensor part 400, tag ID can be utilized as physical location information ID.

  The physical position information DB 301 holds information that allows the position to be actually specified at a certain facility or store, such as sensor ID and GPS information acquired by the sensor information acquisition unit 300, or specific sections and coordinates.

  The sensor information acquisition unit 300 acquires sensor information via the network 401. The acquired sensor information is stored in the physical position information DB 301. For sensor devices that cannot collect information via the network 401, a worker having a mobile terminal such as a notebook PC or PDA equipped with a tag reader or a GPS receiver circulates and automatically or manually moves the sensor information to the mobile terminal. After collecting the above information, the sensor information is uploaded to the physical position information DB 301.

  The distributable rule DB 701 stores content distribution rules that can be actually used in association with the installation location of the sensor among the content distribution rules.

  A configuration example of the content distribution rule creation device 100 is shown in FIG. The content distribution rule creation device 100 includes a basic behavior definition unit 101, a behavior information management unit 102, a content distribution rule description unit 103, a location information mapping unit 104, an effective content distribution rule extraction unit 105, and a basic behavior information substitution unit 106. .

  The basic action defining unit 101 defines the basic action of the user by combining the logical position information and the user's stay time at that position. The defined basic behavior is accumulated in the basic behavior information DB 201.

  The behavior information management unit 102 manages the behavior model described by the behavior model description device 600 in association with the basic behavior defined by the basic behavior definition unit 101.

  The content distribution rule description unit 103 combines the basic behavior information associated with the behavior model in the behavior information management unit 102 into an action series, and defines the action series as a content distribution rule.

  The location information mapping unit 104 compares the logical location information DB 204 and the physical location information DB 301 and associates the logical location information used in the content distribution rule with the physical location information.

  The valid content distribution rule extraction unit 105 extracts invalid logical position information that could not be mapped to physical position information in the position information mapping unit 104, and further excludes content distribution rules related to the invalid logical position information. Thus, an effective content distribution rule is extracted and stored in the distributable rule DB 701. The effective content distribution rule is passed to the content distribution apparatus 500.

  When there is a basic action that is not associated with physical location information in the action sequence defined in the content distribution rule, the basic action information substitution unit 106 sets another basic action that can be substituted for the basic action as an action model. The content distribution rule that was originally invalid is processed and converted into an effective action series rule by searching for and replacing it.

  Next, a configuration example of the behavior model DB 200 is shown in FIG. In FIG. 4, in response to a higher-level action (purpose) of “eating”, “entering a store”, “sitting in a seat”, “ordering”, “eating food”, “accounting”, Specific actions such as “leaving the store” are defined. Further, more specific and detailed actions are defined in the lower hierarchy.

  Therefore, individual actions such as “entering a store”, “sitting at a seat”, “ordering”, “eating a dish”, “accounting”, and “leaving a store” are intended to “eat” Can be recognized as a set of a series of actions to achieve For example, when the user is present at the logical location information “Store entrance” for the first time, it can be recognized that the user has entered the store, and then the user is present at the logical location information “Store entrance”. Can be distinguished as “getting out of the store” behavior.

  A configuration example of the basic behavior information DB 201 is shown in FIG. The logical action information “entrance of restaurant A” and the stay time “0 minutes” are combined to define the basic action ID “P01” “I am at the entrance of restaurant A”. The combination of the logical location information “Restaurant A table” and the stay time “0 minutes” defines the basic action ID “P02” and “seat seated at restaurant A”. The logical action information “table of restaurant A” and the stay time “30 minutes” are combined to define the basic action ID “P03” “the time has passed for the seat of restaurant A”. The combination of the logical location information “restaurant at restaurant A” and the stay time “0 minutes” defines the basic action ID “P04” “is at the cashier at restaurant A”.

  A configuration example of the user behavior instance DB 202 is shown in FIG. As shown in FIG. 6, the action ID “A01” “entering the store” in the action model is associated with the basic action ID “P01” “at the entrance of the restaurant A”. The action ID “A02” “view menu” in the action model is associated with the basic action ID “P02” “seat seated at restaurant A”. The action ID “A03” “eat food” in the action model is associated with the basic action ID “P03” “time has passed for a seat in restaurant A”. The action ID “A04” “accounting” in the action model is associated with the basic action ID “P04” “at the restaurant A cashier”.

  A configuration example of the content distribution rule DB 203 is shown in FIG. The content distribution rule is described in combination with the basic action ID. As shown in FIG. 7, as “content distribution rule for restaurant A users”, basic action ID “P01” “visited restaurant A” → basic action ID “P02” “view restaurant A menu” → Basic action ID “P03” “finished meal at restaurant A” → basic action ID “P04” “pay at restaurant A” is defined. For example, content such as “coupon for restaurant A” is distributed to a user who takes an action that matches the distribution rule.

  An example of the logical position information DB 204 is shown in FIG. As shown in FIG. 8, for example, “latitude ○ degree, longitude × degree” is associated with the logical position information “entrance of restaurant A”. The sensor ID “REST-A_TABLE” is associated with the logical position information “table of restaurant A”. The sensor ID “01234567890ABCDEFG” is associated with the logical location information “Registry of restaurant A”.

  Next, the processing flow of the effective content distribution rule extraction process will be described with reference to the flowchart shown in FIG.

  In step S001, the sensor information acquisition unit 300 acquires sensor information and stores it in the physical position information DB 301.

  In step S002, the position information mapping unit 104 can correspond to an actual sensor in the logical position information by comparing the data registered in the logical position information DB 204 with the data registered in the physical position information DB 301. Identify things.

  In step S003, the effective content distribution rule extraction unit 105 acquires one appropriate content distribution rule from the content distribution rule DB 203.

  In step S004, the valid content distribution rule extraction unit 105 extracts a sequence of basic action IDs described in the content distribution rule acquired in step S003.

  In step S005, the valid content distribution rule extraction unit 105 refers to the basic action information DB 201 and extracts logical position information associated with the basic action ID.

  In step S006, the valid content distribution rule extraction unit 105 determines whether there is physical position information corresponding to the logical position information extracted in step S005. That is, by determining whether the basic action ID is associated with the physical position information, it is determined whether the content can be distributed when the actual user position information is acquired. If it is determined that there is physical position information corresponding to the logical position information extracted in step S005, the process proceeds to step S007. If it is determined that there is no physical position information corresponding to the logical position information extracted in step S005, the process proceeds to step S008.

  In step S007, the valid content distribution rule extraction unit 105 determines that the content is a valid content distribution rule, and registers the content distribution rule acquired in step S003 in the distributable rule DB 701. When the content distribution rule acquired in step S003 is registered in the distributable rule DB 701, the process returns to step S003.

  In step S008, the valid content distribution rule extraction unit 105 determines that the content distribution rule is invalid.

  In step S009, the valid content distribution rule extraction unit 105 determines whether to substitute the action sequence of the content distribution rule with another behavior sequence. When substituting with another action series, the process proceeds to action series substitution processing. When the next content distribution rule is acquired by skipping an invalid content distribution rule that is not substituted with another action series, that is, the process returns to step S003.

  Next, a processing flow of basic behavior substitution processing will be described with reference to the flowchart shown in FIG.

  In step S101, the basic behavior information substitution unit 106 acquires a content distribution rule determined to be invalid.

  In step S102, the basic action information substitution unit 106 extracts a series of basic action IDs from an invalid content distribution rule, and checks whether an invalid (not corresponding to physical position information) basic action ID is included. If an invalid basic action ID is included, the process proceeds to step S103. When the invalid basic action ID is not included, the process proceeds to step S110, and the action series substitution process ends.

  In step S103, the basic behavior information substitution unit 106 extracts the last basic behavior ID from the behavior series of the invalid content distribution rule.

  In step S104, the basic action information substitution unit 106 determines whether the basic action ID extracted in step S103 can be substituted with the immediately preceding basic action ID in the action model.

  In step S105 or step S106, the basic action information substitution unit 106 extracts another basic action ID. In addition, when describing the basic action ID in the content distribution rule, whether the corresponding basic action ID can be replaced with the immediately preceding action ID or the immediately following basic action ID is explicitly given, or the corresponding basic An action that is close to the action ID on the action model (such as an action on the action model in the same hierarchy, lower level, or series) is selected. Then, in order to acquire the basic action ID immediately before or after the corresponding basic action ID, the actions before and after the corresponding basic action ID are extracted with reference to the action model DB 200, and further extracted with reference to the basic user action instance DB. The basic action ID of the action that has been taken is acquired.

  In step S107, the basic action information substitution unit 106 determines whether the extracted basic action ID is associated with the physical position information. If it is determined that the extracted basic action ID is associated with the physical position information, it is determined that the basic action ID is an effective basic action ID in step S108. If it is determined that the extracted basic action ID is not associated with the physical position information, it is determined that the basic action ID is invalid in step S109.

  Next, the process described above will be described using a specific example. First, “P04” of the basic action ID series “P01, P02, P03, P04” in the “content distribution rule for people who eat at restaurant A” in FIG. 7 is the sensor ID: “ It is assumed that the function of this sensor is stopped, although it is associated with “123456678890ABCDEFG”.

  First, the actions before and after “account at restaurant A”, which is the action of the basic action ID “P04”, are extracted from FIG. However, it is assumed that the behavior model of restaurant A extends the behavior model of FIG. 4 and has a similar model.

  Then, “eat food at restaurant A” and “exit restaurant A” can be extracted. In this case, a flag that substitutes the previous basic action ID is given to the content distribution rule, and “eat food at restaurant A”, which is the action immediately before “account at restaurant A”, is selected as a candidate. Let's say.

  Then, it can be seen from FIG. 6 that the candidate action “eat food at restaurant A” is the basic action ID “P03”. Further, from FIGS. 5 and 8, the basic action ID “P03” is the sensor ID: “REST-A_TABLE”. ], The basic action ID “P03” can be determined to be a valid basic action ID.

  From the above processing, the basic action ID “P04” of the content distribution rule is replaced with “P03”. At this time, the basic action ID series is converted from “P01, P02, P03, P04” to “P01, P02, P03, P03”. However, since “P03” is duplicated, “P03” is aggregated to “P01, P02, P03 ".

  As described above in detail, according to the embodiment of the present invention, when creating a content distribution rule based on a user's action sequence, a content distribution rule can be described without depending on physical location information. Furthermore, it is possible to extract a content distribution rule that can be used according to the installation location of the sensor, and to automatically notify the content distribution apparatus 500.

(Behavior model description device)
A functional configuration of the behavior model description device 600 is shown in FIG. The function of each component will be described below.

  The behavior model description device 600 provides a means for describing a user's behavior in the user's real world in a searchable and reusable manner. An example of the behavior model is shown in FIG. In the behavior model, the purpose and behavior of the upper node are made more concrete at the lower node. For example, in the example of FIG. 4, “to eat” is expressed as a more specific sequence of actions such as “enter a store” and “order” at lower nodes.

  The coping behavior description unit 602 describes the coping behavior for an exceptional event that hinders normal user behavior. In the example of FIG. 4, the action “pay with a card” corresponds to the event “no cash”.

  The preventive action unit 603 describes an action for preventing an exceptional event that inhibits a normal user's action. In the example of FIG. 4, the action “preempts money” to prevent the phenomenon of “no cash”.

  The disturbing event description unit 604 expresses an exceptional event that interferes with normal user behavior as a disturbing event. In the example of FIG. 4, the event is “no cash”.

  The method description unit 605 describes one or a plurality of methods for achieving a certain purpose. In the example of FIG. 4, the methods “pay by card” and “pay by cash” that achieve the action of “accounting” are applicable. In addition, the method describes a case where only one action needs to be executed among a plurality and a case where it is necessary to execute some of the plurality.

  The user information adding unit 606 provides a means for adding user context information and a user profile that determine the actions that the user can take to the action model as a filtering condition. Thereby, for example, the action of “mealing” is filtered outside the meal time zone, or “suit store” is extracted as the content related to the member of society.

  When the behavior model reference unit 607 creates a user behavior model in the behavior model description device, the behavior model reference unit 607 refers to the existing behavior model for the already created behavior model and adds only the necessary behavior to the behavior model. Can be created.

  For example, for restaurants that have the same behavior model as FIG. 4, the behavior model is not described, but the behavior model of FIG. 4 is referred to. Further, a function is provided for designating a certain behavior model and searching for a behavior model having a reference relationship with the behavior model. Thereby, for example, it is possible to extract another behavior model referring to the behavior model of “meal”.

  The behavior model expansion unit 608 creates a behavior model by changing, adding, or deleting a part of the existing behavior model itself when creating a user behavior model in the behavior model description device. For example, when adding a behavior such as “eat dessert” to the behavior model of FIG. 4 or deleting a behavior of “paying with a card”, the behavior of FIG. A new behavior model can be created based on the model.

  Furthermore, a function for searching for a behavior model that specifies a certain behavior model and extends the behavior model is provided. As a result, for example, it is possible to extract another behavior model obtained by extending the behavior model of “meal”. It also provides a function to check which behavior of the behavior model has been expanded.

  The behavior model library management unit 609 creates a behavior model that can be reused in common for each attribute (region (domain) such as store, facility, place, category) when creating a behavior model of a user in the behavior model description device. It can be handled as a library. For example, by providing the “restaurant” behavior model as a library, the “restaurant” behavior model can be explicitly reused when describing the “restaurant”, “cafe”, and “Chinese restaurant” behavior models. It becomes.

  Similarly, when creating a behavior model of a user in the behavior model description device, a behavior model independent of the domain can be handled as a library. For example, “accounting” is an action model that appears in common in a plurality of domains such as “restaurant” and “movie theater” without depending on a specific domain, and can be explicitly reused as a library.

(Other embodiments)
As mentioned above, although this invention was described by embodiment, it should not be understood that the description and drawing which form a part of this indication limit this invention. From this disclosure, various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art.

  As described above, the content distribution rule based on the user's action sequence is generated, but it is also possible to give the user's profile and context to the content distribution rule. For example, if the user profile is “high school student”, the distribution rule is expanded such that “student discount related information” is distributed. If it is a “high school student”, the behavior judgment accuracy of the user is improved by filtering in advance actions that the high school student cannot take such as “drink alcohol”.

  Furthermore, the user interaction can be included in the distribution rule. For example, by allowing the user to answer information that is difficult to extract from the action sequence such as “Is you now free?” To improve the accuracy of content distribution rule expansion and user behavior determination be able to.

  In addition, by inputting the number of contents associated with the content distribution rule and the number of contents actually distributed to the user and used as an input, an index indicating which logical position information should be installed to cover the logical position information It is also possible to show.

  Thus, it should be understood that the present invention includes various embodiments and the like not described herein. Therefore, the present invention is limited only by the invention specifying matters in the scope of claims reasonable from this disclosure.

It is a schematic diagram which shows the example of whole structure of the message delivery system which concerns on embodiment of this invention. It is a schematic diagram which shows the example of whole structure of the sensor part which concerns on embodiment of this invention. It is a block diagram which shows the structural example of the message delivery rule preparation system which concerns on embodiment of this invention. It is a figure which shows the structural example of action model DB which concerns on embodiment of this invention. It is a figure which shows the structural example of basic action information DB which concerns on embodiment of this invention. It is a figure which shows the structural example of user action instance DB which concerns on embodiment of this invention. It is a figure which shows the structural example of content delivery rule DB which concerns on embodiment of this invention. It is a figure which shows the structural example of logical location information DB which concerns on embodiment of this invention. It is a flowchart which shows the processing flow of the effective content delivery rule extraction process which concerns on embodiment of this invention. It is a flowchart which shows the process flow of the basic action alternative process which concerns on embodiment of this invention. It is a block diagram which shows the structural example of the action model description apparatus which concerns on embodiment of this invention.

Explanation of symbols

40a to 40l ... RF tag 100 ... Content distribution rule creation device 101 ... Basic behavior definition unit 102 ... Behavior information management unit 103 ... Content distribution rule description unit 104 ... Location information mapping unit 105 ... Effective content distribution rule extraction unit 106 ... Basic behavior Information substitution part 200 ... Behavior model DB
201 ... Basic action information DB
202 ... User action instance DB
203 ... Content distribution rule DB
204: Logical location information DB
DESCRIPTION OF SYMBOLS 300 ... Sensor information acquisition part 400 ... Sensor part 401,503,504 ... Network 500 ... Content delivery apparatus 502 ... Portable terminal 600 ... Action model description apparatus 601 ... Action model description apparatus 602 ... Coping action description part 603 ... Preventive action part part 604 ... Interfering event description part 605 ... Method description part 606 ... User information giving part 607 ... Action model reference part 608 ... Action model extension part 609 ... Action model library management part 701 ... Distributable rule DB

Claims (7)

An action model database for storing an action model that hierarchically models user actions;
A basic behavior information database storing basic behavior information defined by logical location information indicating a logical location for estimating a user's behavior and a user's stay time at the logical location;
In order to create a content distribution rule defined by combining the basic behavior information, an behavior information management unit that manages the behavior model and the basic behavior information in association with each other;
A position information mapping unit that determines whether the logical position information can be associated with the physical position information based on information about a sensor that detects physical position information indicating the physical position of the user; ,
A content distribution rule creation system comprising: an effective content distribution rule extraction unit that extracts a content distribution rule including basic behavior information that can be associated with the physical position information as an effective content distribution rule. When the content distribution rule includes basic behavior information that cannot be associated with the physical location information, the basic behavior information that cannot be associated with the physical location information is associated with the physical location information with reference to the behavior model. The content delivery rule creation system according to claim 1, further comprising a basic behavior information substitution unit that substitutes basic behavior information that can be attached.   The content distribution rule creation system according to claim 1, further comprising a sensor information acquisition unit that acquires information about the sensor via a network. An action model description part describing the action model;
The behavior model description part
A disturbing event description part that describes an event that inhibits the user's behavior as a disturbing event;
A coping action description part describing coping action for the disturbing event;
A preventive action description part describing an action for preventing the disturbing event;
A method description part describing at least one method for achieving the user's behavior;
The user information provision part which provides to the said behavior model as a filtering condition at least one of the user's context information or user profile information which determines the action which the said user can take is provided. The content delivery rule creation system according to item 1. The behavior model description part
When creating a new behavior model, refer to the existing behavior model and add only the necessary behavior,
5. The content distribution rule creation system according to claim 4, further comprising a behavior model expansion unit that changes or deletes a part of the existing behavior model when creating a new behavior model.   The content distribution rule according to claim 5, wherein the behavior model description unit further includes a behavior model library management unit that manages a behavior model that can be reused in common for each attribute of the behavior model as a library. Creation system. Storing an action model that hierarchically models user actions;
Storing basic behavior information defined by logical location information indicating a logical location for estimating a user's behavior and a user's stay time at the logical location;
Managing the behavior model and the basic behavior information in association with each other in order to create a content distribution rule defined by combining the basic behavior information;
Determining whether the logical position information can be associated with the physical position information based on information about a sensor that detects physical position information indicating the physical position of the user;
Extracting a content distribution rule including basic behavior information that can be associated with the physical position information as an effective content distribution rule.

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