JP2009116656A - Content delivery system, advertisement insert device and terminal device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a content delivery system, capable of enhancing an appealing effect by inserting an advertisement related to a movable range of a user to a content without being constrained by the past movement history of the user, and an advertisement insert device and a terminal therefor. <P>SOLUTION: The terminal device detects and transmits position information of the user to the advertisement insert device, and performs processing to display advertisement information on a screen based on content information. The advertisement insert device specifies, upon receipt of the position information, a current location of the user that is an origin of moving range, predicts the user's moving range based on attribute information of the user, extracts store information of stores located within the moving range based on the specified origin of moving range and the predicted moving range, calculates, for each store of the extracted store information, an evaluation point based on the position information or attribute information of the user and the store information of the store concerned, selects a store based on the evaluation point, and requests an advertisement storage device to transmit advertisement related to the selected store. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a content distribution system for predicting a user's action range in content distribution such as a game and effectively multiplexing advertisements, and an advertisement insertion device and a terminal device constituting the content distribution system.

  With the spread of mobile phones, various services are provided for mobile phone users. Many of the services provided include advertisements in order to reduce or free usage fees. In recent years, mobile phones equipped with a GPS (Global Positioning System) function that shows the current position of the user have also appeared, and a store advertisement providing system corresponding to the user's action history has also been realized.

  Here, (Patent Document 1) is an advertisement distribution system, in which a customer terminal transmits customer information, a product for which advertisement distribution is desired, and conditions for the product to the advertisement providing system, and a retail store terminal The advertisement information to be notified is transmitted to the advertisement providing system. Then, the mobile phone of the customer acquires location information using the GPS function and transmits it to the location information analysis system. The location information analysis system analyzes the behavior pattern for each mobile number from the registered location information, and The provision system extracts the corresponding store information based on the customer's action range information acquired from the location information analysis system, and meets the conditions of the product for which the customer wishes to deliver advertisements from the extracted registered products of the store Is extracted to determine product information desired by the customer, and a customer-specific advertisement is created and transmitted to the customer terminal.

  One of the services installed in mobile phones is games. The number of mobile phone game users has been increasing year by year, and has attracted attention as a place for advertisement insertion and store visit guidance. Here, (Patent Document 2) is a game device capable of displaying an advertisement on a game screen, and a user plays a game on the game device in order to provide a product advertisement for a long time and at a low cost. The image of the character that becomes the opponent and the image of the product related to the character is stored, and the name and image of the plurality of stored characters are displayed and the selection of the character that becomes the opponent of the user is accepted and selected The product information associated with the selected image is stored, the product image related to the selected image is determined to be incorporated as a game image, and the game image incorporating the product image is displayed. Yes.

(Patent Document 3) discloses a network-based entertainment system that guides game users to a store so that points based on game results can be used at the time of purchase in a position-linked game. Yes. That is, in (Patent Document 3), when a user starts a game using a mobile terminal, the entertainment system acquires position information from a GPS satellite, a mobile phone, or a PHS base station, and notifies the server. In accordance with this notification, the server displays a map around the user on the mobile terminal, selects a nearby event spot, and presents the user with a quiz or mini game when the user selects the event spot. The user relies on the map to move to the actual event spot, obtains hints, plays quizzes and mini-games, and earns points after completing these. These points are accumulated in the server and used for purchasing goods and services at actual stores.
JP 2005-148289 A JP 2003-154175 A Japanese Patent Laid-Open No. 2002-49681

  However, the conventional advertisement distribution system shown in (Patent Document 1) can only provide advertisements in a history range that has moved in the past, and has a problem that it is not possible to stimulate potential demand for stores outside the history range.

  In addition, the game device shown in (Patent Document 2) has a problem that the appeal to the user is weak only by posting advertisements for various products on a fixed expression method such as a signboard during the game. .

  Moreover, in the entertainment system using the network shown in (patent document 3), it had the subject that the advertising effect with respect to the user who is not interested in object goods is weak.

  The present invention has been made in view of the above-mentioned various problems as an example, and can insert an advertisement in an actionable range that is not limited only by the user's past movement history into the content, thereby enhancing the appeal effect. It is an object to provide a content distribution system, an advertisement insertion device, and a terminal device.

  In order to solve the above-described problems and achieve the above-described object, the present invention provides a content storage device that stores and transmits content information, and an advertisement that is connected to the advertisement storage device that stores advertisement information and transmits the advertisement information. A content distribution system configured such that an insertion device and a terminal device that receives and displays the content information and the advertisement information can be communicated via a network, the terminal device being a user having the terminal device Position detection means for detecting the position information and transmitting the position information to the advertisement insertion device, and the advertisement information received from the advertisement insertion device is displayed on a screen based on the content information received from the content storage device. Content processing means for processing to be displayed, wherein the advertisement insertion device transmits the position transmitted from the terminal device. And the action range starting point specifying means for specifying the current location of the user that becomes the starting point of the action range, and the user attribute information is stored in a storage unit, and the user is based on the attribute information. Action range prediction means for predicting the action range, store information of the store related to the advertisement information in the storage unit, the starting point of the action range specified by the action start point specifying means, and the action range Based on the behavior range predicted by the prediction means, store information extraction means for extracting the store information of stores belonging to the behavior range from the storage unit, and the store extracted by the store information extraction means For each store of information, a store score calculating means for calculating a score based on the location information and / or the attribute information of the user and the store information of the store, and the store An advertisement requesting unit that selects the store based on the score calculated by the point calculation unit and requests the advertisement storage device to transmit the advertisement information related to the selected store. To do.

  The present invention also provides a content storage device that stores and transmits content information, an advertisement insertion device that is connected to an advertisement storage device that stores advertisement information and transmits the advertisement information, and receives the content information and the advertisement information. And a terminal device that displays the terminal device, the content distribution system configured to be communicable via a network, wherein the terminal device detects position information of a user having the terminal device, and the position detection Based on the position information detected by the means, the current location of the user as the starting point of the action range is specified, action range starting point specifying means for transmitting to the advertisement insertion device, and the attribute information of the user is stored And the action range prediction means for predicting the action range of the user based on the attribute information and transmitting it to the advertisement insertion device; Content processing means for processing the advertisement information received from the advertisement insertion device to be displayed on a screen based on the content information received from the content storage device, and the advertisement insertion device Store information extracting means for storing store information in the storage unit and extracting the store information of stores belonging to the action range from the storage unit based on the starting point and the action range transmitted from the terminal device And for each store of the store information extracted by the store information extracting means, a score is calculated based on the location information and / or the attribute information of the user and the store information of the store A store score calculating means, and selecting the store based on the score calculated by the store score calculating means, and the advertisement information relating to the selected store Characterized by comprising a an advertisement request means for requesting the advertisement storage device to send.

  The present invention also provides a content storage device that stores and transmits content information, a terminal device that receives and displays the content information and the advertisement information, and an advertisement storage device that stores the advertisement information via a network. An advertisement insertion device that is communicably connected and transmits the advertisement information, the user who receives the position information of the user of the terminal device detected by the terminal device and becomes the starting point of the action range Action range starting point specifying means for specifying the current location of the user, action range prediction means for storing the user's attribute information in a storage unit, and predicting the action range of the user based on the attribute information, and the advertisement Store information of a store related to information is stored in the storage unit, and is predicted by the starting point of the action range specified by the action starting point specifying unit and the action range predicting unit. The store information extracting means for extracting the store information of stores belonging to the action range based on the action range, and the store information extracted by the store information extracting means for each store. In addition, a store score calculating means for calculating a score based on the location information and / or the attribute information of the user and the store information of the store, and the score calculated by the store score calculating means An advertisement requesting unit that selects the store based on the request and requests the advertisement storage device to transmit the advertisement information relating to the selected store.

  The present invention is configured to be able to communicate with a content storage device that stores and transmits content information and an advertisement insertion device that is connected to the advertisement storage device that stores advertisement information and transmits the advertisement information via a network. A terminal device for receiving and displaying the content information and the advertisement information, wherein the terminal device is detected by position detecting means for detecting position information of a user having the terminal device and the position detecting means. Based on the position information, the current location of the user that is the starting point of the action range is specified, action range starting point specifying means for transmitting to the advertisement insertion device, and the attribute information of the user is stored in the storage unit, Based on the attribute information, the behavior range prediction means for predicting the behavior range of the user and transmitting it to the advertisement insertion device, and the transmitted origin and behavior range. Therefore, the advertisement information relating to the store selected by the advertisement insertion device is received from the advertisement insertion device, and the advertisement information is displayed on the screen based on the content information received from the content storage device. Content processing means.

  According to the present invention, a content distribution system, an advertisement insertion device, and an advertisement insertion device that can insert an advertisement in a range that can be acted on without being limited to only a user's past movement history and can enhance the appeal effect. And a terminal device is obtained. Further, it is possible to obtain a content distribution system, an advertisement insertion device, and a terminal device that can enhance the appeal effect for potential store customers who have not been visited yet in the vicinity of the user's position.

  A content distribution system according to a first aspect of the present invention is a content storage device that stores and transmits content information, an advertisement insertion device that is connected to an advertisement storage device that stores advertisement information and transmits advertisement information, and receives content information and advertisement information And a terminal device that displays the terminal device, the content distribution system configured to be able to communicate with each other via a network, wherein the terminal device detects position information of a user having the terminal device and sends the position information to the advertisement insertion device. A position detection means for transmitting, and a content processing means for processing so that the advertisement information received from the advertisement insertion device is displayed on a screen based on the content information received from the content storage device. Action range start point specification that receives the location information transmitted from the device and identifies the current location of the user that is the start point of the action range In addition, the attribute information of the user is stored in the storage unit, based on the attribute information, the action range prediction means for predicting the user's action range, the store information of the store related to the advertisement information is stored in the storage unit, Based on the starting point of the action range specified by the action starting point specifying means and the action range predicted by the action range prediction means, store information extracting means for extracting store information of stores belonging to the action range from the storage unit And, for each store of the store information extracted by the store information extracting means, a store score calculating means for calculating a score based on the position information and / or attribute information of the user and the store information of the store, and a store An advertisement requesting unit that selects a store based on the score calculated by the score calculation unit and requests the advertisement storage device to transmit the advertisement information related to the selected store is provided.

  According to the present invention, the terminal device detects the position information of the user having the terminal device, transmits the position information to the advertisement insertion device, and receives the position information from the advertisement insertion device on the screen based on the received content information. Processing to display advertisement information, the advertisement insertion device receives the location information transmitted from the terminal device, specifies the current location of the user that is the starting point of the action range, and stores the attribute information of the user And the user's action range is predicted based on the attribute information, the store information of the store related to the advertisement information is stored in the storage unit, the starting point of the specified action range, the predicted action range, Based on the above, store information of stores belonging to the action range is extracted from the storage unit, and for each store of the extracted store information, user location information and / or attribute information, store information of the store, Based on the score Since a store is selected based on the calculated score and the advertisement storage device is requested to transmit advertisement information related to the selected store, the range in which the user can act without being bound by the user's past movement history The advertisement can be inserted into the content, and the effect of appealing to potential store customers who have not been visited yet can be improved.

  A content distribution system of a second invention is a content storage device that stores and transmits content information, an advertisement insertion device that is connected to an advertisement storage device that stores advertisement information and transmits advertisement information, and receives content information and advertisement information And a terminal device that displays the terminal device, the content distribution system configured to be communicable via a network, wherein the terminal device detects position information of a user having the terminal device, and position detection means Based on the position information detected by the user, the current location of the user as the starting point of the action range is specified, the action range starting point specifying means for transmitting to the advertisement insertion device, and the attribute information of the user are stored in the storage unit, Based on the information, the behavior range prediction means for predicting the behavior range of the user and transmitting it to the advertisement insertion device, and the content received from the content storage device Content processing means for processing so that the advertisement information received from the advertisement insertion device is displayed on the screen based on the information, the advertisement insertion device stores the store information of the store related to the advertisement information in the storage unit, Based on the starting point and the action range transmitted from the terminal device, the store information extracting means for extracting store information of stores belonging to the action range from the storage unit, and the store information extracted by the store information extracting means for each store And a store score calculating means for calculating a score based on the user location information and / or attribute information and the store information of the store, and a store based on the score calculated by the store score calculating means. And an advertisement requesting means for requesting the advertisement storage device to transmit the advertisement information relating to the selected store.

  According to the present invention, the terminal device detects the position information of the user having the terminal device, specifies the current location of the user as the starting point of the action range based on the detected position information, and the advertisement insertion device On the screen based on the content information received from the content storage device, storing the attribute information of the user in the storage unit, predicting the action range of the user based on the attribute information, transmitting to the advertisement insertion device The advertisement information received from the advertisement insertion device is displayed, the advertisement insertion device stores the store information of the store related to the advertisement information in the storage unit, and the starting point and the action range transmitted from the terminal device. Based on the store information of the stores that belong to the range of action based on the extracted store information, the location information and / or attribute information of the user and the store information of the store Based on reviews Is calculated, and the store is selected based on the calculated score, and the advertisement storage device is requested to transmit the advertisement information relating to the selected store. It is possible to insert an actionable range of advertisements into the content, and to increase the appeal effect to potential store customers who have not been visited yet in the vicinity of the user's position.

  A content distribution system according to a third aspect is characterized in that, in the content distribution system according to the second aspect, the attribute information is personal attribute information of the user independent of the user's behavior history.

  According to the present invention, since the attribute information is the user's personal attribute information that does not depend on the user's behavior history, the attribute information is not limited to the user's past movement history, but other than places where the user has visited in the past. Therefore, it is possible to improve the enjoyment as a game due to unexpectedness.

  A content distribution system according to a fourth aspect is the content distribution system according to the third aspect, wherein the attribute information is information on an environment where the user is currently located.

  According to the present invention, since the attribute information is information on the environment where the user is currently located, it is possible to insert an advertisement within a range in which the user can act without being bound by the past movement history. The advertisement can be effectively distributed to a potential store customer who has not been visited yet in the vicinity of the user's position.

  The content distribution system according to a fifth aspect is the content distribution system according to the fourth aspect, wherein the action range starting point specifying means stores the position information of the user in the storage unit for each day of the week and / or for each time period. It is characterized by creating life pattern information of the user and changing the starting point of the action range based on the life pattern information stored in the storage unit.

  According to the present invention, the user's location information is stored in the storage unit for each day of the week and / or every time period to create the user's life pattern information, and based on the life pattern information stored in the storage unit Since the starting point of the action range is changed, it is possible to select a store that can be easily reached by the user by using the destination of the user in the near future based on the past life pattern.

  The content distribution system according to a sixth aspect is the content distribution system according to the fifth aspect, wherein the action range prediction means weights and predicts the action range based on the attribute information of the user with respect to the position information of the user. It is characterized by this.

  According to the present invention, since the behavior range is weighted and predicted based on the user's attribute information with respect to the user's position information, based on the user's attribute information corresponding to the position information (for example, the current position). By weighting in consideration of the moving means and the like, it is possible to select a store that the user can easily reach.

  A content distribution system according to a seventh aspect is the content distribution system according to the sixth aspect, wherein the action range prediction means weights and predicts the action range based on the position information of another user with respect to the position information of the user. It is characterized by doing.

  According to the present invention, based on the position information of other users with respect to the user's position information, the action range is weighted and predicted, so that the action range can be adjusted to the wider one by interlocking multiple terminals, etc. It has the effect that the selection range of store selection can be expanded.

  The content distribution system according to an eighth aspect is the content distribution system according to the seventh aspect, wherein the behavior range prediction means weights the behavior range based on the health state information of the user as attribute information of the user's internal environment. And predicting.

  According to the present invention, since the behavior range is weighted and predicted based on the user's health condition information as the attribute information of the user's internal environment, the user is forced to consider the health condition. There is an effect that it is possible to select a store that is easily reachable.

  The content distribution system according to a ninth aspect is the content distribution system according to the eighth aspect, wherein the action range prediction means searches for a route from the origin to the store, estimates a travel time of the user with respect to the route, and travel time The behavior range is weighted based on the prediction and is predicted.

  According to the present invention, the route from the starting point to the store is searched, the user's travel time for the route is estimated, and the action range is weighted and predicted based on the travel time. By considering the difference in the moving speed, etc., there is an effect that it is possible to preferentially select a store that can be reasonably visited.

  The content distribution system of the tenth invention is the content distribution system of the ninth invention, wherein the store score calculation means searches for a route from the starting point to the store, and based on the travel distance and / or gradient of the searched route, The rating of the store is calculated.

  According to the present invention, the route from the starting point to the store is searched, and the score of the store is calculated based on the travel distance and / or the gradient of the searched route. Therefore, the store is urged to visit at a convenient time on the store side. In this way, it is possible to increase the value as an advertisement, and for users, it is possible to preferentially select stores that can reasonably come to the store by considering the difference in moving speed on the route for each user. Has an effect.

  The content distribution system according to an eleventh aspect is characterized in that, in the content distribution system according to the tenth aspect, the store score calculation means calculates the score of the store based on the store status of the store.

  According to the present invention, since the score of the store is calculated based on the store status of the store, the time of congestion can be avoided by the real-time congestion information.

  In a content distribution system according to a twelfth aspect, in the content distribution system according to the eleventh aspect, the store score calculation means stores the location information of the user in the storage unit as behavior history information, and behavior history information for the store attribute information. Based on the above, the score of the store is calculated.

  According to the present invention, the location information of the user is stored in the storage unit as behavior history information, and the score of the store is calculated based on the behavior history information of the user with respect to the attribute information of the store. By reflecting the history, it is possible to preferentially select a store that is eager to visit.

  In a content distribution system according to a thirteenth aspect, in the content distribution system according to the twelfth aspect, the store score calculation means searches for a route from the starting point to the store, weights the searched route based on weather condition information, and weights The score of the store is calculated based on the route obtained.

  According to the present invention, the route from the starting point to the store is searched, the searched route is weighted based on the weather condition information, and the score of the store is calculated based on the weighted route. It has the effect of presenting an advertisement for a store that can be visited without a store.

  In a content distribution system according to a fourteenth aspect, in the content distribution system according to the thirteenth aspect, the store score calculating means searches for a route from the starting point to the store, estimates the moving means based on the position information of the user, The route is weighted based on the estimated moving means, and the score of the store is calculated based on the weighted route.

  According to the present invention, the route from the starting point to the store is searched, the moving means is estimated based on the position information of the user, the route is weighted based on the estimated moving means, and based on the weighted route, Since the score of the store is calculated, it is possible to perform more appropriate store evaluation and widen the selection range of store selection by considering the user's moving means.

  In the content distribution system of the fifteenth aspect of the invention, in the content distribution system of the fourteenth aspect of the invention, the store information extracting means is configured to take action when the starting point of the action range specified by the action range starting point specifying means is different from the latest position information. The range is corrected.

  According to the present invention, when the starting point of the specified action range is different from the latest position information, the action range is corrected, so that it is possible to provide more appropriate advertisement information that is more suitable for the current position of the user. Has an effect.

  A content distribution system according to a sixteenth aspect of the present invention is the content distribution system according to the fifteenth aspect, further comprising a store information management device connected via a network, wherein the content information has two or more selectable scenarios. The store information management device detects that a user visits a store related to advertisement information or purchases a product in the store as user use information, and transmits the use information to the advertisement insertion device. The advertisement insertion device selects the scenario option information stored in the storage unit based on the usage information transmitted from the store information management device, and the user selects the scenario related to the selected option information. A scenario selection means for transmitting a scenario transmission request to be transmitted to the terminal device to the content storage device. And butterflies.

  According to the present invention, it further includes a store information management device, the content information has two or more selectable scenarios, and the store information management device has visited a store related to the advertisement information by the user, or , Detecting that the product has been purchased at the store as user usage information, and transmitting the usage information to the advertisement insertion device. The advertisement insertion device stores the usage information in the storage unit based on the usage information transmitted from the store information management device. Since the scenario transmission request for selecting the stored scenario option information and controlling the scenario related to the selected option information to be transmitted to the terminal device of the user is transmitted to the content storage device, to the store related to the inserted advertisement The visit result can be fed back to the content scenario and the user can be interested in the advertisement. In addition, by making store visits and product purchases related to the inserted advertisements a condition for more enjoyable content, users who were not initially interested in the target product can be invited to visit the store / purchase. It has the effect | action that an effect can be strengthened.

  A content distribution system according to a seventeenth aspect of the present invention is the content distribution system according to the sixteenth aspect of the present invention, wherein the advertisement insertion device further includes content analysis means for analyzing the content information transmitted to the terminal device, The advertisement storage device is requested for advertisement information that matches the analysis result of the content information analyzed by the analysis means.

  According to the present invention, the content information transmitted to the terminal device is analyzed, and the advertisement information matching the analysis result of the analyzed content information is requested to the advertisement storage device. An advertisement can be presented, and the appealing power of the advertisement can be enhanced without causing the user to feel uncomfortable. In addition, an advertisement that matches the content scenario can be selected and inserted to attract more users' interest.

  The content distribution system of an eighteenth aspect of the invention is the content distribution system of the seventeenth aspect of the invention, wherein the advertisement insertion device further comprises personal attribute holding means for holding personal attribute information of the user having the terminal device in the storage unit. It is characterized by that.

  According to the present invention, since the personal attribute information of the user having the terminal device is held in the storage unit, it is possible to display an appropriate advertisement that more suits the preference of each individual user.

  A content distribution system according to a nineteenth aspect is the content distribution system according to the eighteenth aspect, wherein the content information includes one or more advertisement insertion objects indicating objects into which information can be inserted from the outside.

  According to the present invention, the content information includes one or more advertisement insertion objects indicating objects from which information can be inserted from the outside, and thus has an effect that information can be inserted into the object from the outside.

  In a content distribution system according to a twentieth aspect, in the content distribution system according to the nineteenth aspect, the advertisement insertion object includes at least one object type information that is information indicating a target suitable for insertion into the object. Features.

  According to the present invention, since the advertisement insertion object includes one or more pieces of object type information indicating information suitable for insertion into the object, it attracts the user's interest by a method more integrated with the content. Has the effect of being able to

  In a content distribution system according to a twenty-first aspect, in the content distribution system according to the twentieth aspect, the content information includes at least one weighting object indicating a choice of a story in the content, and the advertisement request means is a personal attribute holding means. It is characterized in that the requested advertisement is selected by combining the personal attribute or action range held in the storage unit and the weighted object.

  According to the present invention, the content information includes one or more weighting objects indicating the choices of the stories in the content, and selects the requested advertisement by combining the personal attributes and action ranges held in the storage unit with the weighting objects. Therefore, the result of the visit to the store related to the inserted advertisement is fed back to the content scenario, and the user can be interested in the advertisement.

  The content distribution system of the twenty-second invention is the content distribution system of the twenty-first invention, wherein the advertisement information includes one or more advertisement information identifiers indicating the type of business of the advertisement source and the desired customer segment, and the advertisement request means stores the advertisement Request information including an advertisement information identifier is transmitted to the advertisement storage device, which requests the device to select and transmit an appropriate advertisement based on the advertisement information identifier.

  According to the present invention, the advertisement information includes at least one advertisement information identifier indicating the type of business of the advertisement source and the desired customer segment, and requests the advertisement storage device to select and transmit an appropriate advertisement based on the advertisement information identifier. Since the request information including the advertisement information identifier is transmitted to the advertisement storage device, it is possible to expect an appealing effect in accordance with a wider variety of layers.

  A content distribution system according to a twenty-third aspect is the content distribution system according to the twenty-second aspect, wherein the advertisement storage device creates a list of advertisement information based on the advertisement information identifier and transmits it to the advertisement insertion device. The store information extracting means extracts store information of stores belonging to the action range from the storage unit based on the transmitted list.

  According to the present invention, a list of advertisement information is created based on the advertisement information identifier, transmitted to the advertisement insertion device, and store information of stores belonging to the action range is extracted from the storage unit based on the transmitted list. Thus, the response speed to the terminal device can be increased.

  According to a twenty-fourth aspect of the present invention, there is provided an advertisement insertion device including a network for a content storage device that stores and transmits content information, an advertisement storage device that stores advertisement information, and a terminal device that receives and displays content information and advertisement information. An advertisement insertion device that is communicably connected and transmits advertisement information, receives the location information of the user of the terminal device detected by the terminal device, and is the current location of the user that is the starting point of the action range Action range starting point specifying means for identifying the user, action range prediction means for storing the user's attribute information in the storage unit and predicting the user's action range based on the attribute information, and store information of the store related to the advertisement information Is stored in the storage unit and belongs to the action range based on the action range start point specified by the action start point specifying unit and the action range predicted by the action range predicting unit. Store information extraction means for extracting store information of the store from the storage unit, for each store of the store information extracted by the store information extraction means, the location information and / or attribute information of the user, the store information of the store, A store score calculating means for calculating a score based on the score, and an advertisement requesting means for selecting a store based on the score calculated by the store score calculating means and requesting the advertisement storage device to transmit advertisement information relating to the selected store And.

  According to the present invention, the position information of the user of the terminal device detected by the terminal device is received, the current location of the user as the starting point of the action range is specified, and the attribute information of the user is stored in the storage unit Based on the attribute information, the user's action range is predicted, the store information of the store related to the advertisement information is stored in the storage unit, and the starting point of the specified action range and the predicted action range are based on Then, store information of stores belonging to the action range is extracted from the storage unit, and for each store of the extracted store information, based on the position information and / or attribute information of the user and the store information of the store To select a store based on the calculated score, and to send advertisement information related to the selected store. Inserting ads into the content Can have the effect that it is possible to enhance the appeal effect on the potential store customers that no was still visit while being in the vicinity of the position of the user.

  A terminal device according to a twenty-fifth aspect of the invention is capable of communicating via a network with a content storage device that stores and transmits content information, and an advertisement insertion device that is connected to the advertisement storage device that stores advertisement information and transmits advertisement information. A terminal device configured to receive and display content information and advertisement information, the terminal device including position detection means for detecting position information of a user having the terminal device, and position detected by the position detection means Based on the information, identify the current location of the user that is the starting point of the action range, store the action range start point specifying means for transmitting to the advertisement insertion device and the attribute information of the user in the storage unit, based on the attribute information, A behavior range prediction means for predicting a behavior range of a user and transmitting it to the advertisement insertion device, and a store area selected by the advertisement insertion device based on the transmitted origin and behavior range. Receiving information from the ad insertion device, characterized in that the advertisement information on the screen based on the received content information from the content storage apparatus is provided with a content processing means for processing to be displayed.

  According to the present invention, position information of a user having a terminal device is detected, and based on the detected position information, the current location of the user that is the starting point of the action range is specified, transmitted to the advertisement insertion device, and used. Stores the attribute information of the person in the storage unit, predicts the user's action range based on the attribute information, transmits it to the advertisement insertion device, and selects the store selected by the advertisement insertion device based on the transmitted starting point and action range Since the advertisement information is received from the advertisement insertion device and processed so that the advertisement information is displayed on the screen based on the content information received from the content storage device, it can be used without being bound by the past movement history of the user. Can insert advertisements into the content that the user can act on, and can increase the appeal to potential store customers who have not yet visited, but are close to the user ’s location It has the effect of.

Embodiments of a content distribution system, an advertisement insertion device, and a terminal device according to the present invention will be described below in detail with reference to the drawings. In addition, this invention is not limited by this embodiment.
[Outline of the present invention]
Hereinafter, the outline of the present invention will be described, and then the configuration and processing of the present invention will be described in detail. FIG. 1 is a schematic diagram showing the basic configuration of the present invention as an example. In FIG. 1, reference numeral 100 is a terminal device, reference numeral 200 is an advertisement storage device, reference numeral 300 is a content storage device, and reference numeral 400 is an advertisement insertion device.

  The present invention generally has the following basic features. That is, as shown in FIG. 1, a content distribution system of the present invention includes a content storage device 300 that stores and transmits content information, and an advertisement insertion device that is connected to an advertisement storage device 200 that stores advertisement information and transmits advertisement information. 400 and the terminal device 100 that receives and displays content information and advertisement information are configured to be able to communicate with each other via a network. Here, FIG. 2 is a flowchart showing an example of the basic principle of the present invention.

  That is, first, the advertisement insertion device 400 receives the user position information detected by the terminal device 100, and specifies the current location of the user that is the starting point of the action range (S201).

  And the advertisement insertion apparatus 400 memorize | stores a user's attribute information in a memory | storage part, and predicts a user's action range based on attribute information (S202). Here, the attribute information may be personal attribute information of the user that does not depend on the user's behavior history, or may be information on an environment where the user is currently located.

  And the advertisement insertion apparatus 400 memorize | stores the store information of the shop concerning advertisement information in a memory | storage part, Based on the starting point of the identified action range, and the predicted action range, the shop which belongs in the said action range Store information is extracted from the storage unit (S203). Here, the advertisement insertion device 400 may correct the action range when the starting point of the specified action range is different from the latest position information.

  Then, the advertisement insertion device 400 calculates a score for each store of the extracted store information based on the user's location information and / or attribute information and the store information of the store (S204).

  Then, the advertisement insertion device 400 selects a store based on the calculated score (S205).

  Then, the advertisement insertion device 400 requests the advertisement storage device 200 to transmit the advertisement information related to the selected store (S206).

  The advertisement storage device 200 that has received the request transmits the advertisement information to the advertisement insertion device 400, and the advertisement insertion device 400 transmits the received advertisement information to the terminal device 100 (S207).

  The terminal device 100 that has received the advertisement information performs processing so that the advertisement information received from the advertisement insertion device 400 is displayed on the screen based on the content information received from the content storage device 300. Here, FIG. 3 is a schematic diagram illustrating the basic principle of the present invention as an example.

  As an example, as illustrated in FIG. 3, the terminal device 100 displays an action range (e.g., based on personal information) centered on a user's current position detected by a GPS, a base station, or the like on a display screen. If the personal profile is a junior high school student, the radius is within 1 km.) Advertising information such as stores in the store is inserted into content such as games and displayed.

  The above is the outline of the present invention. Here, the process for specifying the above-described starting point or the process for predicting the action range may be executed in the terminal device 100. The content distribution system may further include a store information management device.

  In this case, the content information has two or more selectable scenarios, and the store information management device has visited a store related to the advertisement information or purchased a product at the store. Is detected as the usage information of the user, and the usage information is transmitted to the advertisement insertion device 400.

  Then, the advertisement insertion device 400 selects the scenario option information stored in the storage unit based on the usage information transmitted from the store information management device, and selects the scenario related to the selected option information as the terminal device 100 of the user. Control to send to. This completes the description of the summary of the invention.

(Embodiment 1)
First, the configuration of the content distribution system according to the first embodiment will be described. FIG. 4 is a block diagram showing an example of the configuration of the content distribution system according to the first embodiment to which the present invention is applied. In FIG. 4, reference numeral 100 is a terminal device, reference numeral 200 is an advertisement storage device, reference numeral 300 is a content storage device, and reference numeral 400 is an advertisement insertion device.

  As shown in FIG. 4, the content distribution system according to the first exemplary embodiment schematically includes an advertisement that is connected to a content storage device 300 that stores content and an advertisement storage device 200 that stores advertisement information and transmits the advertisement information. An insertion device 400 and a terminal device 100 that receives and displays content information and advertisement information are connected to a network (communication network or terminal-side network (such as a mobile phone network or a wireless LAN access network)) or a distribution device that connects them. To be able to communicate with each other via a network.

  Here, the advertisement storage device 200, the content storage device 300, the advertisement insertion device 400, the distribution device, and the like may be configured as a WEB server, an ASP server, or the like, and the hardware configuration thereof is generally a commercially available workstation, You may comprise by information processing apparatuses, such as a personal computer, and its attachment apparatus. Each function in these devices is realized by a CPU, a disk device, a memory device, an input device, an output device, a communication control device, and the like in a hardware configuration, a program for controlling them, and the like. Here, FIG. 5 is a block diagram showing an example of the configuration of each device in the content distribution system of Embodiment 1, and conceptually shows only the portion related to the present invention in the configuration. In FIG. 5, reference numeral 101 in the terminal device 100 is a communication means, reference numeral 102 is a content processing means, reference numeral 103 is a display means, reference numeral 104 is a position detection means, and an advertisement storage device. Reference numeral 201 in FIG. 200 is a communication means, reference numeral 202 is an advertisement selection means, reference numeral 203 is an advertisement storage means, reference numeral 301 in the content storage device 300 is a communication means, reference numeral 302 is , Content selection means, reference numeral 303 is content storage means, and in the advertisement insertion device 400, reference numeral 401 is terminal device communication means, reference numeral 402 is advertisement storage device communication means, and reference numeral 403 is It is an advertisement request means, the code | symbol 404 is an advertisement transmission means, and the code | symbol 405 is an action range prediction means.

  As shown in FIG. 5, the terminal device 100 is schematically received from the communication unit 101 that communicates with the content storage device 300 and the advertisement insertion device 400, the advertisement information received from the advertisement insertion device 400, and the content storage device 300. Content processing means 102 for processing content, display means 103 for displaying advertisement-added content processed by the content processing means 102, position detection means 104 for detecting the position of the user, and a storage unit accessible from each means And comprising. Here, the display means 103 is a monitor (including a home TV) or the like, and may be configured integrally with a speaker or the like.

  That is, the position detection unit 104 in the terminal device 100 functions as a position detection unit that detects the position information of the user who has the terminal device 100 and transmits the position information to the advertisement insertion device 400. Further, the content processing unit 102 functions as a content processing unit that performs processing so that the advertisement information received from the advertisement insertion device 400 is displayed on the screen based on the content information received from the content storage device 300.

  The advertisement storage device 200 generally includes an advertisement storage unit 203 that stores advertisements, an advertisement selection unit 202 that selects an advertisement from the advertisement storage unit 203 in response to a request from the advertisement insertion device 400, and an advertisement insertion device 400. And communication means 201 for communicating with.

  In addition, the content storage device 300 generally communicates with the terminal device 100, a content storage unit 303 that stores content, a content selection unit 302 that selects content from the content storage unit 303 in response to a request from the terminal device 100, and the terminal device 100. And communication means 301.

  Further, the advertisement insertion device 400 generally requests advertisement information from the terminal device communication means 401 that communicates with the terminal device 100, the advertisement storage device communication means 402 that communicates with the advertisement storage device 200, and the advertisement storage device 200. An advertisement request unit 403; an advertisement transmission unit 404 that transmits the advertisement information received from the advertisement storage device 200; an action range prediction unit 405 that predicts a user's action range; and a storage unit that can be accessed by each unit. It is prepared for.

  That is, in the advertisement insertion device 400, the action range prediction unit 405 receives the position information transmitted from the terminal device 100, and uses the action range start point specifying unit that specifies the current location of the user that is the start point of the action range. Storing the attribute information of the person in the storage unit, storing the range of action predicting means for predicting the action range of the user based on the attribute information, the store information of the store related to the advertisement information in the storage unit, and the action starting point specifying means Store information extracting means for extracting store information of stores belonging to the action range from the storage unit based on the starting point of the action range specified by the action range and the action range predicted by the action range prediction means, and store information For each store of the store information extracted by the extracting means, a store score calculating means for calculating a score based on the position information and / or attribute information of the user and the store information of the store Functions in. The advertisement request unit 403 functions as an advertisement request unit that selects a store based on the score calculated by the store score calculation unit and requests the advertisement storage device 200 to transmit the advertisement information related to the selected store.

  Here, the communication means such as the communication means 101, the communication means 201, the communication means 301, the terminal device communication means 401, and the advertisement storage device communication means 402 are communication devices such as routers connected to a communication line such as a network (see FIG. The communication control interface is connected to a network (not shown), and is communicably connected to a network via a communication device and a wired or wireless communication line such as a dedicated line. Various databases and tables stored in the advertisement storage unit 203 and the content storage unit 303 are storage units such as fixed disk devices. Moreover, each means in each apparatus mentioned above is connected so that communication is possible via arbitrary communication paths as illustration as an example. The above is an example of the configuration of the content distribution system according to Embodiment 1.

  Next, an example of processing of the content distribution system according to Embodiment 1 configured as described above will be described in detail below with reference to FIGS. 6 and 7. FIG. 6 is a flowchart illustrating an example of processing between devices of the content distribution system according to the first embodiment.

  As illustrated in FIG. 6, first, the terminal device 100 transmits user attribute information and the like to the advertisement insertion device 400 by the processing of the communication unit 101 (S601).

  Then, the advertisement insertion device 400 starts the prediction of the user's action range based on the attribute information received through the terminal device communication means 401 and stored in the storage unit by the processing of the action range prediction means 405. Here, the attribute information may be stored in advance in the storage unit of the advertisement insertion device 400.

  Then, the terminal device 100 transmits a content request to the content storage device 300 via the communication unit 101 by the processing of the content processing unit 102 (S602).

  Then, the content storage device 300 selects the content stored in the content storage unit 303 in response to the content request received via the communication unit 301 by the processing of the content selection unit 302, and the terminal via the communication unit 301 Distribute to the device 100 (S603).

  And the terminal device 100 transmits an advertisement request | requirement with respect to the advertisement insertion apparatus 400 via the communication means 101 by the process of the content processing means 102 (S604). Here, the terminal device 100 transmits the user location information detected by the processing of the location detection unit 104 to the advertisement insertion device 400 together with the advertisement request.

  When receiving the advertisement request via the terminal device communication unit 401, the advertisement insertion device 400 specifies the position information transmitted from the terminal device 100 as the starting point of the behavior range, and the behavior range predicted by the processing of the behavior range prediction unit 405. Based on the above, an advertisement request is transmitted to the advertisement storage device 200 via the advertisement storage device communication means 402 by the processing of the advertisement request means 403 (S605). Here, the processes from the start of communication with the terminal device 100 to the transmission of the advertisement request to the advertisement storage device 200 (behavior range starting point identification process, action range prediction process, store information extraction process, store score calculation process, and Details of the advertisement request process (hereinafter referred to as “advertisement selection process”) will be described later.

  When receiving the advertisement request via the communication unit 201, the advertisement storage device 200 selects advertisement information from the advertisement storage unit 203 based on the advertisement request by the processing of the advertisement selection unit 202, and inserts the advertisement via the communication unit 201. The data is transmitted to the device 400 (S606).

  Then, the advertisement insertion device 400 transmits the advertisement information received via the advertisement storage device communication unit 402 to the terminal device 100 via the terminal device communication unit 401 by the processing of the advertisement transmission unit 404 (S607).

  Then, the terminal device 100 performs processing so that the advertisement information received from the advertisement insertion device 400 is displayed on the screen based on the content information received from the content storage device 300 by the processing of the content processing unit 102. The above is an example of the process between the devices in the first embodiment.

  Next, details of advertisement insertion processing in the advertisement insertion device 400 according to the first exemplary embodiment will be described. FIG. 7 is a diagram illustrating an example of processing in the advertisement insertion device 400 according to the first embodiment.

  First, when communication with the terminal device 100 of the user A is started (S701), the terminal device communication unit 401 receives the attribute information of the user A from the terminal device 100 and stores it in the storage unit (S702). Here, the attribute information of each user may be stored in the storage unit in advance.

  Then, the action range prediction unit 405 determines whether or not there is an advertisement request from the terminal device 100 (S703), and if there is no advertisement request (S703, No), waits for the advertisement via the terminal device communication unit 401. When the request is received (S703, Yes), the current location information of the user A added to the advertisement request is received (S704).

  Then, the behavior range prediction unit 405 identifies the received current position information of the user A as a starting point, and extracts store information of stores in the behavior range from the storage unit based on the predicted behavior range. A store is selected based on the score calculated for each store in the extracted store information (S705). Here, the details of the advertisement selection process will be described later.

  Then, the advertisement request unit 403 transmits an advertisement request for controlling the advertisement storage device 200 to transmit the advertisement information related to the selected store by the processing of the advertisement storage device communication unit 402 (S706).

  Then, the advertisement storage device communication unit 402 receives the advertisement information transmitted based on the advertisement request from the advertisement storage device 200 (S707).

  Then, the advertisement transmission unit 404 controls the terminal device communication unit 401 to transmit the received advertisement information to the terminal device 100 (S708).

  Then, the terminal device communication unit 401 determines whether or not there is a communication end request for controlling to end communication from the terminal device 100 (S709). If there is no communication end request (S709, No), the process proceeds to S703. Return to determine if there is a new advertisement request.

On the other hand, when the terminal device communication unit 401 receives the communication end request (S709), the advertisement insertion device 400 ends communication with the terminal device 100 of the user A (S710). Above, the process in the advertisement insertion apparatus 400 concerning Embodiment 1 is complete | finished.
[Ad selection process]
Next, FIG. 8 shows details of advertisement selection processing (behavior range starting point identification processing, behavior range prediction processing, store information extraction processing, store score calculation processing, and advertisement request processing) in the embodiment to which the present invention is applied. Description will be given with reference to FIG. FIG. 8 is a flowchart showing an example of the action range prediction process of the action range prediction means in the embodiment to which the present invention is applied. In FIG. 8, a serial flow represents a basic flow, a branched solid line rectangle indicates a more detailed description, and a branched broken line rectangle indicates each embodiment pattern. In the description of the advertisement selection process, the process according to the first embodiment will be described as an example. However, the present invention is not limited to this, and a corresponding process in each embodiment can be executed.

  In the basic flow shown in FIG. 8, first, the behavior range prediction unit 405 receives the position information transmitted from the terminal device 100, and specifies the current location of the user that is the starting point of the behavior range (S810). That is, the action range prediction unit 405 specifies the current position of the user detected by the position detection unit 104 as a starting point (S811).

  Next, the action range prediction unit 405 extracts stores within the action range centered on the starting point (S820). That is, the action range prediction unit 405 stores the received user attribute information in the storage unit, predicts the user action range based on the attribute information, and based on the predicted action range and the identified starting point. Then, store information of stores belonging to the action range is extracted from the storage unit (S821). Here, the attribute information may be received from the terminal device 100.

  And the action range prediction means 405 calculates a score based on the location information and / or attribute information of the user and the store information of the store stored in the storage unit for each store of the extracted store information. (S830 to S850). Specifically, for example, the score is calculated in consideration of the coincidence between the advertising space and the store attribute (S841). Here, the action range prediction unit 405 may perform a route search from the action range start point to the store position, and set the route as an evaluation target (S844).

  And the action range prediction means 405 selects an advertising object store based on the calculated score (S860).

  Then, the advertisement request unit 403 controls to insert the advertisement information of the selected store (S870). Specifically, the advertisement request unit 403 transmits an advertisement request for controlling the advertisement storage device 200 to transmit the advertisement information related to the selected store to the advertisement storage device 200 via the advertisement storage device communication unit 402.

  The above is the description of the basic flow. Next, possible implementation patterns in each process of the basic flow will be described.

(1) Life Pattern Linkage In S810, the action range prediction unit 405 creates the user's life pattern information by storing the user's position information in the storage unit for each day of the week and / or for each time period. The starting point of the action range may be changed based on the life pattern information stored in the section (S812). Specifically, the behavior range prediction unit 405 learns a lifestyle pattern, creates a lifestyle pattern database, acquires lifestyle pattern information corresponding to the current time information based on the lifestyle pattern database, and offsets the behavior range starting point. To do. Here, FIG. 9 is a diagram schematically illustrating an example of life pattern information stored in the life pattern database.

  As illustrated in FIG. 9, the action range prediction unit 405 stores, in the storage unit, user position data received in the past for each day of the week or time period. For example, the left figure of FIG. 9 is the position data preserve | saved in the time slot | zone from 18:00 to 20:00 on Wednesday, and the life pattern which returns home through a downtown with a company is shown. Further, the central diagram of FIG. 9 is position data stored in a time zone from 7:00 to 9:00 on Monday, and shows a life pattern distributed from home to the office. Further, the right diagram in FIG. 9 is position data stored in a time zone from 19:00 to 21:00 on Thursday, and shows that it is a lifestyle pattern mainly distributed in English conversation schools.

  The action range prediction unit 405 estimates the action range of the user using the database created in the storage unit in this way, and controls to set the action range within a radius of 500 m from the past action point, for example. That is, based on the past life pattern, a store where the user can easily reach can be selected by using the destination of the user in the near future as a starting point.

(2) Location attribute linkage In S820, the action range prediction unit 405 weights and predicts the action range based on the attribute information of the user stored in the storage unit for the user's position information (for example, current location). (S822). Here, the action range prediction unit 405 stores attribute information such as age and occupation of the user attribute information received and stored in the storage unit in the storage unit, and weights the action range based on the attribute information. It may be predicted.

  Here, FIG. 10 is a diagram illustrating an example of a weighting table that weights the user position information and the user attribute information in association with each other. Here, the attribute information of the user may be stored in the storage unit in advance or may be received from the terminal device 100.

  As shown in FIG. 10, for example, the position information indicates that the user is near the house, and if the attribute information of the user is a member of society, there is a car or the like, so the action range is set large (for example, 2.00 times weighting.) Also, if the user's location information indicates that it is near the school, and if the user's attribute information indicates that it is an elementary school student, the action range is set to be small because it is only for walking (for example, 0.50 times the Weights.). Also, if the user's location information indicates the vicinity of the station and the user's attribute information indicates a college student, the range of actions is set large because of the variety of means of transportation (for example, weighting of 5.00 times). ).

  In this way, it is possible to select a store that the user can easily reach by weighting in consideration of the moving means based on the attribute information of the user according to the position information (for example, the current position). it can.

(3) Multi-terminal linkage In S820, the action range prediction unit 405 may weight and predict the action range based on the position information of other users with respect to the user position information (S823). For example, the action range prediction unit 405 associates a plurality of user terminal devices 100 as a group, and changes the action range when they are nearby. Here, FIG. 11 is a flowchart illustrating an example of processing for associating a plurality of user groups.

As illustrated in FIG. 11, the action range prediction unit 405 selects a plurality of user terminal devices 100 constituting a group (S1101). Specifically, for example, this is realized by controlling the user to set a group via the terminal device 100. Then, the action range prediction unit 405 registers the identification number or the like of the user of the set group (the following user ID “X00” or the like). An example of a set subscription group is shown below.
<Subscription group example>
User X03 subscription group 0x001 <family>
Terminal X00: Father Terminal X01: Mother Terminal X02: Older User X03 Subscription Group 0x100 <Friends>
Terminal Y00
Terminal Y01
User X03 subscription group 0x201 <she>
Terminal Z00
Then, the behavior range prediction unit 405 estimates the terminal location by acquiring the position information of the user and the position information of other users in the same group (S1102). That is, the user ID which is a user identification number and position information are acquired in association with each other, and the terminal device 100 of another user linked as a group with one user is searched.

  And the action range prediction means 405 weights and predicts the action range by acquiring and comparing the attribute information of the users in the vicinity (S1103). For example, when the group terminal is present in the vicinity within a radius of 1 m, the movement measurement is performed by comparing the attribute information of one user stored in the storage unit with the attribute information of another user related to the nearby terminal. Recalculate distance (range of action). For example, when the user attribute of the neighboring terminal is a parent, the parent terminal is converted into a movement distance (behavior range) of the parent, and when the user attribute of the neighboring terminal is a friend or a couple, the action range is increased by 50%. . On the other hand, when the user attribute of the nearby terminal is a child, the behavior range may be set not to change.

  In this way, for example, the terminal device 100 is linked in advance between families, and when the parent is near, the child's range of action is expanded to match the parent. Since the range of action is adjusted to a wider range by interlocking multiple terminals, such as setting to be within the range, the selection range of store selection can be expanded.

(4) Health Status Linkage In S820, the behavior range prediction unit 405 may weight and predict the behavior range based on the health status information stored in the storage unit as attribute information of the user's internal environment ( S824). Here, FIG. 12 is a diagram illustrating an example of a weighting table weighted based on the health condition information of the user.

  As shown in <Health condition table example 1> in FIG. 12, when the user can obtain step count information when carrying a pedometer (registered trademark), the step count information (for example, daily unit) ) May be predicted by weighting the movable distance (behavior range). For example, a person who walks only within 3000 steps every day may be set within 1.0 km, and a person who walks more than 10,000 steps every day may be set within 4.0 km. Here, the advertisement insertion device 100 may be configured to acquire health state information from the terminal device 100.

  Also, as shown in <Health state table example 2> in FIG. 12, when blood pressure information can be obtained by controlling the user to input blood pressure information, the action range is weighted based on the blood pressure information. It may be predicted. For example, a person with high blood pressure is set a little narrower (for example, within 1 km), and a person with a normal value is set wider (for example, within 4 km).

  Thereby, it is possible to select a store that can be easily reached without forcing the user to consider the health condition.

(5) Store Status Linkage In S840, the action range prediction unit 405 may calculate the score of the store based on the store status information of the store acquired from a store information management device described later (S842). That is, the action range prediction unit 405 controls to change the guidance content according to store conditions such as store congestion and time zones.

  For example, a store that is crowded with customers at noon due to a registered congestion time zone, etc., sets a low score at the current time so that it is guided to a snack or dinner.

  Accordingly, by promoting store visits at a time convenient for the store, the value as an advertisement is increased, and for the user, the time of congestion can be avoided by real-time congestion information.

(6) Action History Linkage In S840, the action range prediction unit 405 stores the user's position information as action history information in the storage unit, and stores it in the storage unit for the store attribute information stored in the storage unit. The score of the store may be calculated based on the user's behavior history information (S843). For example, the behavior range prediction unit 405 processes the behavior history for each day of the week / weather / time zone based on a statistical method and reflects it in the store selection process.

  That is, the behavior range prediction unit 405 calculates a score by comparing the user's behavior history with the store attribute information. For example, if the store is an unvisited store, the score is calculated to be high. If the store is visited repeatedly, the score is set high (low for new demand), and the period has not been reached since the previous store visit. If so, set the score high. For example, if the action history information shows that you went to bowling last week, the store attribute set the weight of the store that is a bowling alley to zero, and the action history information went to the rental video shop last month, If not done yet, processing such as improving the weight of a store whose store attribute is a rental video store is performed.

  In this way, by reflecting the user's behavior history, it is possible to preferentially select a store that is likely to be visited.

(7) Weather forecast interlock In S840, the action range prediction unit 405 searches for a route from the starting point to the store, weights the searched route based on the weather condition information stored in the storage unit, and sets the weighted route. Based on this, the score of the store may be calculated (S845). Here, the weather condition information may be acquired from another device via a network.

  For example, in order to guide a road that does not need to get wet because it is raining, the weather and the route are reflected in the rating, so that a store where the user can reasonably visit can be preferentially selected.

  In addition, if there is a section on the route to each store that moves outdoors on foot, predetermined weighted addition is performed according to the weather information. As a specific example, if the weather condition information indicates rain, the walking movement section distance is weighted 3.0 times.

  Thus, by changing the movable range in conjunction with the local weather forecast, it is possible to present an advertisement for a store where the user can reasonably visit.

(8) Movement means interlocking In S840, the action range prediction means 405 searches the route from the starting point to the store, estimates the movement means based on the user's location information, and weights the route based on the estimated movement means. The score of the store may be calculated based on the weighted route (S846). In other words, the action range prediction unit 405 may estimate in which engine the user is moving, and may switch the score or the action range. For example, since it is on a train, stores on this route are highly appreciated, stores that are easily accessible because they are in the car, and stores that are around the highlight are highly appreciated because they are traveling. Here, FIG. 14 is a flowchart showing an example of a process for searching for a route from the starting point to the store, estimating the moving means based on the position information of the user, and weighting the route based on the estimated moving means. .

  As shown in FIG. 14, first, the action range prediction unit 405 estimates a moving unit based on the position information of the user (S1401). For example, the moving means (train, car, ship, short distance / long distance) is estimated based on the current position attribute (railway station, road, sea, etc.) information and the moving speed based on the user position information. . Here, the attribute information of the current location may be acquired from a map database stored in the storage unit.

  Then, the action range prediction unit 405 performs weighting based on the probability of the moving unit estimated from the acquired attribute and the position information of the advertisement information (S1402). For example, if the transportation means is estimated to be a train, the stores around the railway station will be highly evaluated, and if the route identification is further performed, the stores around the route station will be highly evaluated and the direction of movement will be identified. The stores around the destination station are rated higher than the stores in the opposite direction. Further, when the moving means is estimated to be a vehicle such as a car, the stores around the main road are highly evaluated, and when the moving means is estimated to be walking, weighting is performed based on the distance from the current position.

  Then, the action range prediction unit 405 estimates the action type of the current user based on the movement information (S1403). For example, if it is a remote place that has no movement history within the past month from the location information, it is estimated that it is traveling / homecoming, and if it is a place that passes every day, it is commuting / commuting / working If it is a busy street near home / work, it is estimated that the person is staying at that place.

  Then, weighting is performed based on the correlation between the estimated action type of the user and the place type information of the advertisement information (S1404). For example, when traveling, weighting is performed based on tie-up attributes (such as Chiba Gion and Nezume store) with the vicinity of sightseeing spots, souvenir shops, (high unit price) restaurants, and sightseeing spots. Further, when commuting, (low unit price) restaurants, convenience stores, stores having store attributes such as supermarkets are weighted higher. In addition, when staying in a downtown area, a bar, an amusement facility, or a store having a salary store attribute is highly weighted.

  Thus, by considering the user's moving means, it is possible to perform more appropriate store evaluation and to expand the selection range of store selection.

  The above is description about the detail of the advertisement selection process in Embodiment 1 to which this invention is applied.

(9) Movement Time Linkage In S844, the action range prediction unit 405 searches for a route from the starting point to the store based on the map database stored in the storage unit, and based on the searched route, the score of the store is calculated. It may be changed (S847).

  For example, the behavior range prediction unit 405 estimates the travel time for the route of the user, and calculates the score of the store based on the travel time. As a specific example, for people who walk quickly according to the time it takes to move, the score is calculated high even at a distant store, and if it takes time on a slope, it is difficult to reach, so the score of the store is low. calculate.

  Here, the action range prediction unit 405 may calculate a score based on the travel distance and / or gradient of the searched route. That is, the travel time is considered to depend on the travel distance and / or the gradient, and the score is calculated based on the travel distance and / or the gradient. Here, FIG. 13 is a graph schematically showing an example of processing when calculating the moving distance and the altitude difference in the route information. In FIG. 13, the horizontal axis indicates the movement distance, and the vertical axis indicates the altitude.

  As shown in FIG. 13, when the user moves from the left to the right of the graph, the action range predicting unit 405 calculates the upward slope and the moving distance based on the altitude difference, and when the user moves from the right to the left, Based on the altitude difference, the descending slope and travel distance are calculated.

And the action range prediction means 405 calculates a score based on the following formula, for example, based on the calculated movement distance and elevation difference (or gradient).
Grade = g (travel distance x f (elevation difference))
(Here, f and g (value) indicate function values for the values.)
Thus, by considering the difference in the moving speed on the route for each user, it is possible to preferentially select a store that can be visited without difficulty.

(Embodiment 2)
In the first embodiment, the action range specifying process and the action range prediction process are configured to be executed in the advertisement insertion device 400. However, as the second embodiment, these may be configured to be executed in the terminal device 100. Good. The configuration of the content distribution system in the second embodiment will be described below. FIG. 15 is a block diagram showing an example of the configuration of the content distribution system according to the second embodiment to which the present invention is applied. In FIG. 15, reference numeral 105 denotes an action range prediction unit. Since the parts other than the reference numeral 105 have been described with reference to FIG. 5 in the first embodiment, description of the reference numerals is omitted.

  As shown in FIG. 15, unlike the first embodiment, the action range prediction unit is configured as the action range prediction unit 105 in the terminal device 100.

  That is, in the second embodiment, the action range prediction unit 105 specifies the current location of the user that is the starting point of the action range based on the position information detected by the position detection unit 104 and transmits it to the advertisement insertion device 400. It functions as an action range prediction means for storing the action range starting point specifying means and the user attribute information in the storage unit, predicting the action range of the user based on the attribute information, and transmitting it to the advertisement insertion device 400.

  In the second embodiment, the advertisement request unit 403 stores the store information of the store related to the advertisement information in the storage unit, and based on the starting point and the action range transmitted from the terminal device 100, the action range. Store information extraction means for extracting store information of stores belonging to the store from the storage unit, store score calculation means for calculating a score related to a user for the store for each store of the store information extracted by the store information extraction means, It functions as an advertisement request unit that selects a store based on the score calculated by the store score calculation unit and requests the advertisement storage device 200 to transmit the advertisement information related to the selected store. Other configurations and processes are the same as those in the first embodiment, and thus description thereof is omitted.

(Embodiment 3)
The configuration and processing according to the third embodiment will be described below with reference to FIGS. That is, in the third embodiment, feedback processing is performed on content based on an action history of usage information such as a user's visit or purchase.

  First, the configuration of the content distribution system according to the third embodiment will be described. FIG. 16 is a block diagram showing an example of the configuration of the content distribution system according to the third embodiment to which the present invention is applied. In FIG. 16, reference numeral 100 is a terminal device, reference numeral 200 is an advertisement storage device, reference numeral 300 is a content storage device, reference numeral 400 is an advertisement insertion device, and reference numeral 500 is store information management. Device.

  As shown in FIG. 16, the content distribution system according to the third exemplary embodiment is roughly and roughly connected to a content storage device 300 that stores and transmits content information, and a advertisement storage 200 that is connected to the advertisement information 200. An advertisement insertion device 400 for transmitting the content information, a terminal device 100 for receiving and displaying content information and advertisement information, and a store information management device 500 connected to a retail store terminal or the like. Including a distribution device connecting them). Note that some functions of the store information management device 500 may be realized in the location management device (central management server or the like) shown in FIG.

  Here, the advertisement storage device 200, the content storage device 300, the advertisement insertion device 400, the store information management device 500, the distribution device, and the like may be configured as a WEB server, an ASP server, or the like. You may comprise by information processing apparatuses, such as a commercially available workstation and a personal computer, and its attached apparatus. Each function in these devices is realized by a CPU, a disk device, a memory device, an input device, an output device, a communication control device, and the like in a hardware configuration, a program for controlling them, and the like. Here, FIG. 17 is a block diagram illustrating an example of the configuration of each device in the content distribution system according to the third embodiment, and conceptually illustrates only the portion related to the present invention. In FIG. 17, in the advertisement insertion device 400, reference numeral 406 is a store information management device communication unit, reference numeral 407 is a scenario request unit, reference numeral 408 is a content storage device communication unit, and the store information management device 500. Reference numeral 501 denotes communication means, and reference numeral 502 denotes user information recording means. Other than this, the description is omitted because it is the same as that described in the first embodiment with reference to FIG. 5 (hereinafter, the configuration different from the first embodiment will be mainly described).

  As shown in FIG. 17, the advertisement insertion device 400 roughly includes a terminal device communication unit 401 that communicates with the terminal device 100, an advertisement storage device communication unit 402 that communicates with the advertisement storage device 200, and the advertisement insertion device 400. An advertisement request unit 403 that performs an advertisement selection process and requests an advertisement; an advertisement transmission unit 404 that transmits advertisement information received from the advertisement storage device 200; a store information management device communication unit 406 that communicates with the store information management device 500; A scenario request unit 407 that requests a scenario, a content storage device communication unit 408 that communicates with the content storage device 300, and a storage unit that can be accessed from each unit are configured.

  That is, in the advertisement insertion device 400, the advertisement request unit 403 receives the position information transmitted from the terminal device 100, and the action range starting point specifying unit that specifies the current location of the user that is the starting point of the action range; Attribute information is stored in the storage unit, based on the attribute information, the action range prediction means for predicting the user's action range, the store information of the store related to the advertisement information is stored in the storage unit, and the action origin specifying means Based on the starting point of the identified behavior range and the behavior range predicted by the behavior range prediction means, store information extraction means for extracting store information of stores belonging to the behavior range from the storage unit, and store information extraction For each store of the store information extracted by the means, a store score calculating means for calculating a score based on the location information and / or attribute information of the user and the store information of the store, Select Store based on the calculated scores by 舗評 point calculation means, functions as advertisement request means for requesting the advertisement storage unit 200 to transmit the advertisement information according to the selected shop.

  Further, in the advertisement insertion device 400, the scenario request unit 407 selects the scenario option information stored in the storage unit based on the usage information transmitted from the store information management device 500, and selects the scenario related to the selected option information. It functions as a scenario selection means for transmitting a scenario transmission request for controlling transmission to the user terminal device 100 to the content storage device 300.

  In FIG. 17, the store information management device 500 includes a communication unit 501 that communicates with the advertisement insertion device 400 and a user information recording unit 502 that records user information detected from the retail store terminal. That is, the store information management device 500 detects that the user has visited the store related to the advertisement information or has purchased a product at the store as the user's use information, and uses the use information to the advertisement insertion device 400. It functions as a user action detection means for transmission.

  Next, an example of processing of the content distribution system according to Embodiment 3 configured as described above will be described in detail below with reference to FIG. FIG. 18 is a flowchart illustrating an example of processing between devices of the content distribution system according to the third embodiment. 20 to 23 are diagrams illustrating examples of display screens when feedback processing is performed on content based on usage information.

  As shown in FIG. 18, first, the terminal device 100 transmits a content request to the content storage device 300 via the communication unit 101 by the processing of the content processing unit 102 (S1801).

  Then, the content storage device 300 selects the content related to the scenario a) stored in the content storage unit 303 according to the content request received via the communication unit 301 by the processing of the content selection unit 302, and the communication unit It is distributed to the terminal device 100 via 301 (S1802).

  Then, the terminal device 100 transmits an advertisement request to the advertisement insertion device 400 via the communication unit 101 by the processing of the content processing unit 102 (S1803). Here, the terminal device 100 transmits the user location information detected by the processing of the location detection unit 104 to the advertisement insertion device 400 together with the advertisement request.

  When receiving the advertisement request via the terminal device communication unit 401, the advertisement insertion device 400 specifies the position information transmitted from the terminal device 100 as the starting point of the behavior range, and the behavior range predicted by the processing of the behavior range prediction unit 405. Based on the above, an advertisement selection process is performed, and an advertisement request is transmitted to the advertisement storage apparatus 200 via the advertisement storage apparatus communication means 402 by the process of the advertisement request means 403 (S1804).

  Upon receiving the advertisement request via the communication unit 201, the advertisement storage device 200 selects an advertisement from the advertisement storage unit 203 based on the advertisement request by the processing of the advertisement selection unit 202, and the advertisement insertion device via the communication unit 201 400 (S1805).

  Then, the advertisement insertion device 400 transmits the advertisement information received through the advertisement storage device communication unit 402 to the terminal device 100 through the terminal device communication unit 401 by the processing of the advertisement transmission unit 404 (S1806).

  Then, the terminal device 100 performs processing so that the advertisement information received from the advertisement insertion device 400 is displayed on the screen based on the content information related to the scenario a) received from the content storage device 300 by the processing of the content processing unit 102. To do. For example, as shown in FIG. 20, on the display screen, a store A2000 related to the advertisement information, a content 2001 related to the scenario a), a person 2001, and an advertisement announcement 2003 about the store A are displayed. .

  Subsequently, when the user of the terminal device 100 detects that the user visits a store related to the advertisement information or purchases a product in the store, the store information management device 500 performs the processing of the communication unit 501 to enable the user. The usage information recorded in the information recording means 502 is transmitted to the advertisement insertion device 400 (S1807). Here, as shown in FIG. 21, a display screen 2010 for controlling to transmit the current position information to the user may be displayed.

  Then, the advertisement insertion device 400 selects the scenario option information stored in the storage unit based on the usage information transmitted from the store information management device 500 (for example, option information b)), and the selected option information b) The scenario transmission request for controlling the scenario b) to be transmitted to the user terminal device 100 is transmitted to the content storage device 300 (S1808).

  Then, the terminal device 100 controls the user to advance the scenario, and transmits a screen request to the content storage device 300 (S1809). That is, as shown in FIG. 22, for example, a screen 2020 for controlling whether or not to proceed to the scenario b) is displayed to the user, and when “Yes” is selected, a screen request for the content related to the scenario b) Send.

  Then, based on the received scenario transmission request, the content storage device 300 transmits the content related to the scenario b) to the terminal device 100 (S1810).

  Then, the terminal device 100 performs processing so that the content information regarding the scenario b) received from the content storage device 300 is displayed by the processing of the content processing unit 102. The content related to scenario b) is displayed. Here, as illustrated in FIG. 23, the terminal device 100 may increase the number of items 2030 based on the purchase content and the like, and display the notification 2031. The above is an example of the process between the devices in the third embodiment.

  Next, details of the advertisement selection process in the advertisement insertion device 400 according to the third embodiment will be described. Here, FIG. 19 is a diagram illustrating an example of processing in the advertisement insertion device 400 according to the third embodiment.

  As shown in FIG. 19, first, when communication with the terminal device 100 of the user A is started (S1901), the advertisement request unit 403 determines whether there is an advertisement request from the terminal device 100 (S1902). ) When there is no advertisement request (S1902, No), it waits, and when an advertisement request is received via the terminal device communication means 401 (S1902, Yes), the current location information of the user A added to the advertisement request Is received (S1903).

  Then, the advertisement request unit 403 specifies the received current position information of the user A as a starting point, extracts store information of stores in the action range from the storage unit based on the predicted action range, and extracts the information. A store is selected based on the score calculated for each store in the store information (S1904).

  Then, the advertisement request unit 403 transmits an advertisement request for controlling the advertisement storage device 200 to transmit the advertisement information related to the selected store by the processing of the advertisement storage device communication unit 402 (S1905).

  Then, the advertisement storage device communication unit 402 receives the advertisement information transmitted based on the advertisement request from the advertisement storage device 200 (S1906).

  Then, the advertisement transmission unit 404 controls the terminal device communication unit 401 to transmit the received advertisement information to the terminal device 100 (S1907).

  Then, the scenario request unit 407 determines whether there is usage information received from the store information management device 500 via the store information management device communication unit 406 (S1908). If there is usage information (S1908, Yes), the scenario storage request for selecting the scenario option information stored in the storage unit based on the usage information and controlling the scenario related to the selected option information to be transmitted to the user terminal device 100 is sent to the content storage device. It transmits to 300 (S1909). If there is no usage information (S1908, No), the following process is executed without performing the above process.

  Then, the terminal device communication unit 401 determines whether there is a communication end request for controlling to end communication from the terminal device 100 (S1910). If there is no communication end request (S1910, No), the process proceeds to S1902. Return to determine if there is a new advertisement request.

  On the other hand, when the terminal device communication unit 401 receives the communication end request (S1910, Yes), the advertisement insertion device 400 ends communication with the terminal device 100 of the user A (S1911). Thus, the process in the advertisement insertion device 400 according to the third embodiment is completed.

(Embodiment 4)
The configuration and processing according to the fourth embodiment will be described below with reference to FIGS. 24 and 25. FIG. That is, in this Embodiment 4, in order to perform more suitable advertisement selection, optimization to a content scenario is aimed at.

  The configuration of the content distribution system according to the fourth embodiment is the same as that described with reference to FIG. Here, FIG. 24 is a block diagram showing an example of the configuration of each device in the content distribution system according to the fourth embodiment, and conceptually shows only the portion related to the present invention. In FIG. 24, reference numeral 409 in the advertisement insertion device 400 is a content analysis unit, and the other parts are the same as those described with reference to FIG. Next, a configuration different from that in Embodiment 3 will be described.)

  As shown in FIG. 24, the advertisement insertion device 400 roughly performs terminal device communication means 401 that communicates with the terminal device 100, advertisement storage device communication means 402 that communicates with the advertisement storage device 200, and advertisement selection processing. Advertisement request means 403 for requesting advertisement information to the advertisement storage apparatus 200, advertisement transmission means 404 for transmitting advertisements received from the advertisement storage apparatus 200, store information management apparatus communication means 406 for communicating with the store information management apparatus 500, A scenario request unit 407 that requests a scenario, a content storage device communication unit 408 that communicates with the content storage device 300, a content analysis unit 409 that analyzes content, and a storage unit that can be accessed from each unit. The

  That is, the part where the content analysis unit 409 analyzes the content information transmitted from the content storage device 300 to the terminal device 100 is a part different from the configuration of the third embodiment.

  Next, an example of the processing of the content distribution system according to Embodiment 4 configured as described above will be described in detail below with reference to FIG. FIG. 25 is a flowchart illustrating an example of processing between devices of the content distribution system according to the fourth embodiment.

  As shown in FIG. 25, the processing of S2501 to S2503 is the same as the processing of S1801 to S1803 described in the third embodiment, and thus the description thereof is omitted.

  Next, the terminal device 100 transmits the content information (or content identifier) to the advertisement insertion device 400 by the processing of the content processing unit 102 (S2504).

  Then, the advertisement insertion device 400 analyzes the received content information by the process of the content analysis unit 409, and selects the appropriate advertisement information for the scenario related to the content by the process of the advertisement request unit 403. The subsequent processes in S2505 to S2511 are the same as the processes in S1804 to S1810 described in the third embodiment, and thus the description thereof is omitted. The above is an example of processing between the devices in the fourth embodiment.

(Embodiment 5)
The configuration and processing according to the fifth embodiment will be described below with reference to FIGS. 26 and 27. FIG. That is, in the fifth embodiment, the personal attribute information of the user having the terminal device 100 is held in the storage unit in order to select an advertisement that matches the attribute information of the individual user.

  The configuration of the content distribution system according to the fifth embodiment is the same as that described with reference to FIG. Here, FIG. 26 is a block diagram showing an example of the configuration of each device in the content distribution system of the fifth embodiment, and conceptually shows only the portion related to the present invention in the configuration. In FIG. 26, reference numeral 410 in the advertisement insertion device 400 is a personal attribute holding means, and other than this, it is the same as that described with reference to FIG. A configuration different from that of Embodiment 3 will be mainly described.)

  As shown in FIG. 26, the advertisement insertion device 400 roughly performs a terminal device communication unit 401 that communicates with the terminal device 100, an advertisement storage device communication unit 402 that communicates with the advertisement storage device 200, and an advertisement selection process. Advertisement request means 403 for requesting advertisement information to the advertisement storage apparatus 200, advertisement transmission means 404 for transmitting advertisements received from the advertisement storage apparatus 200, store information management apparatus communication means 406 for communicating with the store information management apparatus 500, Scenario request means 407 for requesting a scenario, content storage apparatus communication means 408 for communicating with the content storage apparatus 300, personal attribute holding means 410 for holding personal attribute information in the storage section, and a storage section accessible from each means , And is configured.

  That is, the part in which the personal attribute holding means 410 is the personal attribute holding means for holding the personal attribute information of the user having the terminal device 100 in the storage unit is different from the configuration of the third embodiment. Here, the content information according to the fourth embodiment may include one or more advertisement insertion objects indicating objects from which information can be inserted from the outside, and the advertisement insertion object is a target suitable for insertion into the object. One or more pieces of object type information that is information indicating an object may be included. Further, the content information includes one or more weighting objects indicating the choices of stories in the content, and the advertisement request unit 403 includes the personal attribute information held in the storage unit by the personal attribute holding unit 410 and the predicted action range. The requested advertisement may be selected in combination with the weighting object. The advertisement information includes one or more advertisement information identifiers indicating the type of business of the advertisement source and the desired customer segment, and the advertisement request unit 403 selects and transmits an appropriate advertisement to the advertisement storage device 200 based on the advertisement information identifier. The advertisement request information including the advertisement information identifier that requests to be sent may be transmitted to the advertisement storage device 200.

  Next, an example of the processing of the content distribution system according to the fifth embodiment configured as described above will be described in detail below with reference to FIG. FIG. 27 is a flowchart illustrating an example of processing between devices of the content distribution system according to the fifth embodiment.

  First, as shown in FIG. 27, the terminal device 100 records the attribute information of the individual user in the storage unit, transmits the personal attribute information stored in the storage unit to the advertisement insertion device 400, and receives the personal attribute information. The advertisement insertion device 400 holds the personal attribute information in the storage unit by the personal attribute holding means 410 (S2701). Here, the personal attribute information may be stored in the storage unit in advance.

  The subsequent processes in S2702 to S2704 are the same as the processes in S1801 to S1803 described in the third embodiment, and thus the description thereof is omitted.

  Next, the advertisement insertion device 400 that has received the advertisement request performs an advertisement selection process based on the personal attribute information held in the storage unit by the personal attribute holding means 410 and controls to transmit the selected advertisement information. The request is transmitted to the advertisement storage device 200 (S2705). Here, the advertisement request unit 403 may select the requested advertisement by combining the personal attribute information held in the storage unit by the personal attribute holding unit 410, the predicted action range, and the weighted object. Further, the advertisement request unit 403 requests the advertisement storage device 200 to select and transmit an appropriate advertisement based on the advertisement information identifier, and transmits the advertisement request information including the advertisement information identifier to the advertisement storage device 200. Good.

  The subsequent processes in S2706 to S2711 are the same as the processes in S1805 to S18010 described in the third embodiment, and thus the description thereof is omitted. The above is an example of the processing between the devices in the fifth embodiment.

(Embodiment 6)
The configuration and processing according to the sixth embodiment will be described below with reference to FIG. That is, in the sixth embodiment, the personal attribute information of the user having the terminal device 100 is held in the storage unit in order to select an advertisement that matches the attribute information of the individual user.

  The configuration of the content distribution system according to the sixth embodiment is the same as that described with reference to FIG. Here, FIG. 28 is a block diagram showing an example of the configuration of each device in the content distribution system of the sixth embodiment, and conceptually shows only the part related to the present invention in the configuration. In FIG. 28, reference numeral 204 in the advertisement storage device 200 is an advertisement list creation means, and the other parts are the same as those described with reference to FIG. The configuration different from that of the fifth embodiment will be mainly described.)

  As shown in FIG. 28, the advertisement storage device 200 roughly selects an advertisement storage unit 203 that stores advertisements, and selects an advertisement from the advertisement storage unit 203 in response to a request from the advertisement insertion device 400. Advertisement selection means 202 for communication, communication means 201 for communicating with the advertisement insertion device 400, and advertisement list creation means 204 for creating an advertisement list.

  That is, the part that is the advertisement list creation means that the advertisement list creation means 204 creates a list of advertisement information based on the advertisement information identifier and transmits it to the advertisement insertion device 400 is different from the configuration of the fifth embodiment. is there.

  The characteristics of the processing according to the fifth embodiment are shown below. First, the advertisement list creation unit 204 creates a list of advertisement information based on the advertisement information identifier and transmits it to the advertisement insertion device 400.

Then, the advertisement insertion device 400 that has received the advertisement list extracts store information of stores belonging to the action range from the storage unit based on the transmitted advertisement list in the advertisement selection process of the advertisement request unit 403. The above is the feature of the processing in the sixth embodiment.
[Operation scenario in the advertisement selection processing phase]
An operation scenario in the advertisement selection processing phase will be described below with reference to FIG. These operation scenarios are executed in the corresponding devices in the above-described embodiments.

  First, in the advertisement selection processing phase and the feedback phase described later, data names to be handled and explanation thereof will be given. First, content data is data of a content main body described in a script language or an execution format, and includes an advertisement space specified by an object ID and an object attribute.

  The object ID is an ID uniquely assigned to an object (advertisement space) into which an advertisement can be inserted in the content. For example, an identifier such as “00056c” or “www.game1 ***. Com / aaa / 0001” "Is the web address. The object attribute is an attribute of the object, and includes information such as a position and size when an advertisement is displayed on the content screen, and a store attribute (described later) indicating a store type that can be inserted. For example, the position is defined as “+ 150 + 75 pixels”, and the size is defined as “200 × 150 pixels”. Next, the user ID is an ID uniquely assigned to the user in the system, such as a mail address such as “000345” or “foo@bar***.com”.

  The user attribute information is static attribute information for each user, for example, information including age, sex, occupation, and the like. Examples include “12 years old male junior high school student”. Further, the movable range (or simply the movable range) is information related to the movable range determined from the user attribute information, and is defined as, for example, “within a radius of 5 km from the current position”. The store ID is an ID uniquely assigned to an advertisement target store in the system, such as an identifier such as “0001ab” or a web address such as “www.shop1 ***. Com”. The store attribute is the type of store to be advertised and is information used to select a store that can be inserted into the object. For example, attribute information such as “restaurant” or “family restaurant”.

  Further, the store position indicates the geographical position of the store to be advertised, and is defined as, for example, “45 degrees 30 minutes north latitude 135 degrees 30 minutes east longitude”. The advertising content is advertising content to be presented in the content of the advertising target store. The store name and message displayed in the content message and the advertising image (or the advertising image presented in the advertising space in the content screen) Link)). For example, “family restaurant ** branch” representing a name, link destination information such as “http: //www.shop1***.com/a.png” designating an image, and the like. The store visit information is information related to the visit of a specific user in the advertisement target store, and is composed of a store ID, a user ID, a store visit history, and the like. The store visit history is a store visit history of a specific user at an advertisement target store, and includes store visit date and time, store visit behavior (only visit, specific product purchase, etc.). For example, “2007/4/6 15:50” representing visit date and time, “purchase (product X)” representing visit behavior, etc. are defined. The above is a data name and its description. Here, the defined data name, the description of the data name, and the example thereof can be arbitrarily changed within the scope to which the present invention is applied. Next, an operation scenario in the advertisement selection processing phase will be described. Here, FIG. 29 is a diagram schematically showing the flow of the operation scenario in the advertisement selection processing phase.

  (1) The content processing unit 102 of the terminal device 100 acquires and executes content information from the content storage unit as shown in FIG.

  (2) Then, the content processing unit 102 of the terminal device 100 transmits an advertisement insertion request to the advertisement selection unit (for example, equivalent to the action range prediction unit 405 in the first embodiment) according to the description in the content. To do. At this time, (A) the object ID described in the content, the store attribute in the object attribute, (B) the user ID acquired from the identification information management means of the terminal device 100, and (C) the terminal device 100. The position information acquired from the position detecting means 104 is designated.

  (3) Then, the advertisement selection means designates the user ID acquired in (2) from the user information storage means (for example, equivalent to the personal attribute holding means 410 in the fifth embodiment), and the user Get attribute information.

  (4) Then, the advertisement selection unit specifies the user attribute acquired in (3) and acquires the movable distance from the action range estimation information storage unit. The user's action range is estimated from the movable distance and the position information as the starting point acquired in (2).

  (5) Then, the advertisement selection unit selects a store that matches the store attribute acquired in (2) from the store advertisement information storage unit and has a store position within the user's action range estimated in (4). Select the store ID of the store and the contents of the advertisement.

  (6) Then, the advertisement selection unit transmits the advertisement content acquired in (5) to the content processing unit 102 of the terminal device 100.

  (7) Then, the content processing means 102 presents the advertisement content received in (6) to the user according to the position / size in the object attribute described in the content.

(8) Then, the advertisement selection means stores the user ID and object ID acquired in (2) and the store ID acquired in (5) in the action result storage means. Here, a description example of the content program in the advertisement selection processing phase is shown in FIG. 30 (first half). FIG. 30 is a diagram illustrating a description example of the content program in the advertisement selection processing phase and the feedback processing phase. The above is the flow of the operation scenario in the advertisement selection processing phase.
[Operation scenario in the feedback processing phase]
Next, an operation scenario in the feedback processing phase will be described below with reference to FIG. FIG. 31 is a diagram schematically showing the flow of an operation scenario in the feedback processing phase.

  (1) First, the store visit detecting means (corresponding to the store information management apparatus 500 in the fourth embodiment) detects the visit of the user, and stores the store visit information (store ID, user ID, store visit history) to the advertisement selecting means. Send.

  (2) Then, the advertisement selection means transmits the store visit information received in (1) to the selection result storage means. The selection result storage means adds the store visit history to the record having the user ID and the store ID.

  (3) Then, the terminal device 100 controls the user to execute the previously acquired content.

  (4) Then, the content processing unit 102 of the terminal device 100 transmits a store visit history request to the advertisement selection unit in accordance with the description in the content. At this time, (A) an object ID described in the content and (B) a user ID acquired from the identification information management means in the terminal device 100 are designated.

  (5) Then, the advertisement selection means acquires the store visit history by designating the object ID and user ID received in (4) from the selection result storage means.

  (6) Then, the advertisement acquisition unit transmits the store visit history acquired in (5) to the content processing unit 102 in the terminal device 100.

  (7) Then, the terminal device 100 controls the content to branch the content scenario according to the store visit history acquired in (6). Here, a description example of the content program in the feedback processing phase is shown in FIG. 30 (second half). The above is the flow of the operation scenario in the feedback processing phase.

(Other embodiments)
Although the embodiments of the present invention have been described so far, the present invention can be applied to various different embodiments in addition to the above-described embodiments within the scope of the technical idea described in the claims. May be implemented.

  In particular, in the screen example of the above-described embodiment, an example in which content is applied to a game has been described. However, the content is not limited to this, and can be similarly applied to content such as a movie or a television.

  In addition, among the processes described in the embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method.

  In addition, unless otherwise specified, the processing procedures, control procedures, specific names, information including registration data for each processing, parameters such as search conditions, screen examples, and database configurations shown in the above documents and drawings Can be changed arbitrarily.

  In addition, regarding each of the above-described apparatuses, each illustrated component is functionally conceptual and does not necessarily need to be physically configured as illustrated.

  For example, all or some of the processing functions provided in each device can be realized by a CPU (Central Processing Unit) and a program that is interpreted and executed by the CPU, or hardware by wired logic. It is also possible to implement as hardware. The program is recorded on a recording medium to be described later, and is mechanically read by each device as necessary. That is, a storage unit such as a ROM or an HD stores a computer program that cooperates as an OS (Operating System) to give instructions to the CPU and perform various processes. This computer program is executed by being loaded into the RAM, and constitutes a control unit in cooperation with the CPU.

  The computer program that causes the computer to execute the processing of the embodiment may be stored in an application program server connected via an arbitrary network, and may be downloaded in whole or in part as necessary. Is possible.

  The program according to the present invention can also be stored in a computer-readable recording medium. Here, the “recording medium” refers to any “portable physical medium” such as a flexible disk, a magneto-optical disk, a ROM, an EPROM, an EEPROM, a CD-ROM, an MO, and a DVD, or a LAN, WAN, or Internet. It includes a “communication medium” that holds the program in a short period of time, such as a communication line or a carrier wave when the program is transmitted via a network represented by

  The “program” is a data processing method described in an arbitrary language or description method, and may be in any format such as source code or binary code. Note that the “program” is not necessarily limited to a single configuration, but is distributed in the form of a plurality of modules and libraries, or in cooperation with a separate program typified by an OS (Operating System). Including those that achieve the function. Note that a well-known configuration and procedure can be used for a specific configuration for reading a recording medium, a reading procedure, an installation procedure after reading, and the like in each device described in the embodiment.

  Various databases stored and stored in the terminal device 100, the advertisement storage device 200, the content storage device 300, the advertisement insertion device 400, the store information management device 500, etc. (the storage unit shown in the figure, the advertisement storage unit 203, the content storage unit 303, etc. And user information recording means 502) are storage means such as a memory device such as a RAM and a ROM, a fixed disk device such as a hard disk, a flexible disk and an optical disk, and various programs and tables used for various processing and website provision. And files for databases and web pages.

  In addition, the terminal device 100, the advertisement storage device 200, the content storage device 300, the advertisement insertion device 400, the store information management device 500, and the like connect an information processing device such as a known personal computer or workstation to the information processing device. You may implement | achieve by mounting the software (a program, data, etc. are included) which implement | achieves the method of this invention.

  Furthermore, the specific form of distribution / integration of the devices is not limited to the one shown in the figure, and all or a part thereof is configured to be functionally / physically distributed / integrated in arbitrary units according to various loads. can do. As a specific example, the position information may be detected by a terminal device (such as a mobile phone), the game execution / advertisement display may be performed by a fixed PC or a game machine, and the store visit detection may be performed by the above-described terminal device ( The result may be reflected in a game scenario on a fixed PC or a game machine.

  The content distribution system, the advertisement insertion device, and the terminal device according to the present invention are useful in various industrial fields such as the information communication field, and are particularly useful in the content distribution field such as games.

Configuration outline diagram showing an example of the basic configuration of the present invention Flow chart showing an example of the basic principle of the present invention Schematic diagram illustrating the basic principle of the present invention as an example The block diagram which shows an example of a structure of this content delivery system in this Embodiment 1 to which this invention is applied. FIG. 2 is a block diagram illustrating an example of the configuration of each device in the content distribution system according to the first embodiment. Flowchart illustrating an example of processing between devices of the content distribution system in the first embodiment The figure which shows an example of the process in the advertisement insertion apparatus concerning Embodiment 1. The flowchart which shows an example of the action range prediction process of the action range prediction means in embodiment with which this invention is applied. The figure which represents typically an example of the life pattern information stored in the life pattern database The figure which shows an example of the weighting table which links | relates and weights a user's positional information and a user's attribute information The flowchart which shows an example of the process which links | relates the group of several users The figure which shows the example of the weighting table weighted based on a user's health condition information A graph schematically showing an example of processing when calculating a moving distance and an altitude difference in route information The flowchart which shows an example of the process which searches the path | route from a starting point to a shop, estimates a moving means based on a user's positional information, and weights a path | route based on the estimated moving means. FIG. 3 is a block diagram showing an example of the configuration of the content distribution system according to the second embodiment to which the present invention is applied. Block diagram showing an example of the configuration of the content distribution system in the third embodiment to which the present invention is applied FIG. 9 is a block diagram showing an example of the configuration of each device in the content distribution system according to the third embodiment. The flowchart which shows an example of the process between each apparatus of the content delivery system in Embodiment 3. The figure which shows an example of the process in the advertisement insertion apparatus concerning Embodiment 3. The figure which shows an example of the display screen when the feedback process is performed with respect to content based on usage information The figure which shows an example of the display screen when the feedback process is performed with respect to content based on usage information The figure which shows an example of the display screen when the feedback process is performed with respect to content based on usage information The figure which shows an example of the display screen when the feedback process is performed with respect to content based on usage information FIG. 7 is a block diagram showing an example of the configuration of each device in the content distribution system of the fourth embodiment. The flowchart which shows an example of the process between each apparatus of the content delivery system in Embodiment 4. FIG. 7 is a block diagram showing an example of the configuration of each device in the content distribution system according to the fifth embodiment. Flowchart illustrating an example of processing between devices of the content distribution system in the fifth embodiment FIG. 7 is a block diagram showing an example of the configuration of each device in the content distribution system according to the sixth embodiment. The figure which shows the flow of the operation scenario in the advertisement selection processing phase schematically The figure which shows the example of a description of the content program in an advertisement selection process phase and a feedback process phase A diagram schematically showing the flow of the operation scenario in the feedback processing phase

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Terminal device 101 Communication means 102 Content processing means 103 Display means 104 Position detection means 105 Action range prediction means 200 Advertisement storage apparatus 201 Communication means 202 Advertisement selection means 203 Advertisement accumulation means 204 Advertisement list creation means 300 Content storage apparatus 301 Communication means 302 Content selection means 303 Content storage means 400 Advertisement insertion device 401 Terminal device communication means 402 Advertisement storage device communication means 403 Advertisement request means 404 Advertisement transmission means 405 Action range prediction means 406 Store information management device communication means 407 Scenario request means 408 Content storage device Communication means 409 Content analysis means 410 Personal attribute holding means 500 Store information management device 501 Communication means 502 User information recording means

Claims (24)

A content storage device that stores and transmits content information, an advertisement insertion device that is connected to an advertisement storage device that stores advertisement information and transmits the advertisement information, and a terminal device that receives and displays the content information and the advertisement information , A content distribution system configured to be communicable via a network,
The terminal device
Position detecting means for detecting position information of a user having the terminal device and transmitting the position information to the advertisement insertion device;
Content processing means for processing so that the advertisement information received from the advertisement insertion device is displayed on a screen based on the content information received from the content storage device;
With
The advertisement insertion device includes:
Action range starting point specifying means for receiving the position information transmitted from the terminal device and specifying the current location of the user as the starting point of the action range;
Action range prediction means for storing attribute information of the user in a storage unit, and predicting the action range of the user based on the attribute information;
Store the store information of the store related to the advertisement information in the storage unit, and based on the starting point of the action range specified by the action start point specifying means and the action range predicted by the action range prediction means. Store information extracting means for extracting the store information of stores belonging to the action range from the storage unit;
For each store of the store information extracted by the store information extracting means, a store score for calculating a score based on the location information and / or the attribute information of the user and the store information of the store A calculation means;
An advertisement request unit that selects the store based on the score calculated by the store score calculation unit, and requests the advertisement storage device to transmit the advertisement information related to the selected store;
A content distribution system comprising: A content storage device that stores and transmits content information, an advertisement insertion device that is connected to an advertisement storage device that stores advertisement information and transmits the advertisement information, and a terminal device that receives and displays the content information and the advertisement information , A content distribution system configured to be communicable via a network,
The terminal device
Position detecting means for detecting position information of a user having the terminal device;
Based on the position information detected by the position detecting means, the current location of the user that is the starting point of the action range is specified, and the action range starting point specifying means for transmitting to the advertisement insertion device;
Action range prediction means for storing the attribute information of the user in a storage unit, predicting the action range of the user based on the attribute information, and transmitting the action range to the advertisement insertion device;
Content processing means for processing so that the advertisement information received from the advertisement insertion device is displayed on a screen based on the content information received from the content storage device;
With
The advertisement insertion device includes:
Stores store information of the store related to the advertisement information in the storage unit, and stores the store information of stores belonging to the action range based on the starting point and the action range transmitted from the terminal device. Store information extraction means to extract from,
For each store of the store information extracted by the store information extracting means, a store score for calculating a score based on the location information and / or the attribute information of the user and the store information of the store A calculation means;
An advertisement request unit that selects the store based on the score calculated by the store score calculation unit, and requests the advertisement storage device to transmit the advertisement information related to the selected store;
A content distribution system comprising: The content distribution system according to claim 1, wherein the attribute information is personal attribute information of the user that does not depend on the behavior history of the user. The content distribution system according to claim 1, wherein the attribute information is information on an environment in which the user is currently placed. The action range starting point specifying means includes:
The user's location information is stored in the storage unit for each day of the week and / or time period to create the user's life pattern information, and based on the life pattern information stored in the storage unit Changing the starting point of the action range;
The content distribution system according to any one of claims 1 to 4. The action range prediction means includes:
Weighting and predicting the action range based on the attribute information of the user with respect to the location information of the user;
The content distribution system according to any one of claims 1 to 4. The action range prediction means includes:
Weighting and predicting the action range based on the position information of other users with respect to the position information of the user;
The content distribution system according to any one of claims 1 to 4. The action range prediction means includes:
Weighting and predicting the action range based on the user's health condition information as the attribute information of the user's internal environment;
The content distribution system according to any one of claims 1 to 4. The store score calculating means includes:
Searching for a route from the starting point to the store, and calculating the score of the store based on the travel distance and / or gradient of the searched route;
The content distribution system according to any one of claims 1 to 4. The store score calculating means includes:
Calculating the score of the store based on the store status of the store;
The content distribution system according to any one of claims 1 to 4. The store score calculating means includes:
Storing the location information of the user in the storage unit as behavior history information, and calculating the score of the store based on the behavior history information for the attribute information of the store;
The content distribution system according to any one of claims 1 to 4. The store score calculating means includes:
Searching for a route from the starting point to the store, weighting the searched route based on weather condition information, and calculating the score of the store based on the weighted route;
The content distribution system according to any one of claims 1 to 4. The store score calculating means includes:
A route from the starting point to the store is searched, a moving unit is estimated based on the location information of the user, the route is weighted based on the estimated moving unit, and based on the weighted route Calculating the rating for the store;
The content distribution system according to any one of claims 1 to 4. The store information extracting means includes
The action range is corrected when the start point of the action range specified by the action range start point specifying unit is different from the latest position information. Content distribution system. The content distribution system according to claim 1 or 2,
A store information management device connected via the network;
The content information has two or more selectable scenarios,
The store information management device
A user who detects that the user has visited the store related to the advertisement information or has purchased a product at the store as the user's usage information and transmits the usage information to the advertisement insertion device. Behavior detection means,
With
The advertisement insertion device includes:
Based on the usage information transmitted from the store information management device, the option information of the scenario stored in the storage unit is selected, and the scenario related to the selected option information is transmitted to the terminal device of the user. Scenario selection means for transmitting a scenario transmission request to be controlled to the content storage device;
A content distribution system further comprising: The advertisement insertion device includes:
Content analysis means for analyzing the content information transmitted to the terminal device;
Further comprising
The advertisement request means includes
The content distribution system according to any one of claims 1 to 15, wherein the advertisement storage device is requested for advertisement information that matches an analysis result of the content information analyzed by the content analysis means. The advertisement insertion device includes:
Personal attribute holding means for holding the personal attribute information of the user having the terminal device in the storage unit;
The content distribution system according to claim 1, further comprising: 18. The content distribution system according to claim 1, wherein the content information includes one or more advertisement insertion objects indicating objects from which information can be inserted from the outside. The content distribution system according to claim 18, wherein the advertisement insertion object includes at least one object type information that is information indicating a target suitable for insertion into the object. The content information includes one or more weighted objects indicating story choices in the content,
The advertisement request means includes
The content distribution according to any one of claims 1 to 19, wherein the requested advertisement is selected by combining the personal attribute or the action range held by the personal attribute holding means and the weighted object. system. The advertising information includes one or more advertising information identifiers indicating the type of business of the advertising source and the desired customer segment,
The advertisement request means includes
The request information including the advertisement information identifier, which requests the advertisement storage device to select and transmit an appropriate advertisement based on the advertisement information identifier, is transmitted to the advertisement storage device. The content distribution system according to any one of 20. The advertisement storage device includes:
An advertisement list creating means for creating a list of the advertisement information based on the advertisement information identifier and transmitting the list to the advertisement insertion device;
Further comprising
The content distribution system according to claim 21, wherein the store information extracting unit extracts the store information of stores belonging to the action range from the storage unit based on the transmitted list. A content storage device that stores and transmits content information, an advertisement storage device that stores advertisement information, and a terminal device that receives and displays the content information and the advertisement information are communicably connected via a network, An advertisement insertion device for transmitting the advertisement information,
Action range starting point specifying means for receiving the position information of the user of the terminal device detected by the terminal device and specifying the current location of the user as the starting point of the action range;
Action range prediction means for storing attribute information of the user in a storage unit, and predicting the action range of the user based on the attribute information;
Store the store information of the store related to the advertisement information in the storage unit, and based on the starting point of the action range specified by the action start point specifying means and the action range predicted by the action range prediction means. Store information extracting means for extracting the store information of stores belonging to the action range from the storage unit;
For each store of the store information extracted by the store information extracting means, a store score for calculating a score based on the location information and / or the attribute information of the user and the store information of the store A calculation means;
An advertisement request unit that selects the store based on the score calculated by the store score calculation unit, and requests the advertisement storage device to transmit the advertisement information related to the selected store;
An advertisement insertion device comprising: A content storage device that stores and transmits content information, and an advertisement insertion device that is connected to the advertisement storage device that stores advertisement information and transmits the advertisement information, are configured to be communicable via a network, A terminal device that receives and displays advertisement information,
The terminal device
Position detecting means for detecting position information of a user having the terminal device;
Based on the position information detected by the position detecting means, the current location of the user that is the starting point of the action range is specified, and the action range starting point specifying means for transmitting to the advertisement insertion device;
Action range prediction means for storing the attribute information of the user in a storage unit, predicting the action range of the user based on the attribute information, and transmitting the action range to the advertisement insertion device;
The advertisement information relating to the store selected by the advertisement insertion device based on the transmitted starting point and the action range is received from the advertisement insertion device, on the screen based on the content information received from the content storage device Content processing means for processing the advertisement information to be displayed;
A terminal device comprising:

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