Abstract: A danger prediction device includes a processor. The processor is configured to acquire, from a traveling vehicle, position information for the traveling vehicle on a travel path and behavior information for the traveling vehicle at a location corresponding to the position information, compile, from a plurality of acquired items of behavior information, behavior information corresponding to position information for locations having a similar attribute, and input compiled behavior information to a prediction model generated based on pre-gathered vehicle behavior information and a danger level corresponding to the pre-gathered vehicle behavior information, and perform danger prediction for a location corresponding to the compiled behavior information.

Abstract: A sightline estimation system includes a sightline detection unit, a related information acquisition unit, a holding unit, which holds sightline information, and a difference extraction unit. The difference extraction unit performs a selection process to select, from the related information held in the holding unit, the related information corresponding to the related information acquired at the time of current detection of a sightline of the driver and also extracts the difference between the distribution of sightlines of the driver acquired from the sightline information associated with the selected related information and the distribution of the sightlines acquired within a predetermined period including the current detection of the sightline. The sightline estimation system further includes a sightline estimation unit.

Abstract: A route generation device configured to generate a travel route of a traveling body that travels through a network configured of a node and a link, the route generation device includes a route model storage unit configured to store a route model that is data in which a frequency of travel through each link by the traveling body in a past trip performed by the traveling body is classified by destination of the trip; a trip acquisition unit configured to acquire a route starting point and a destination of a traveling body; and a route generation unit configured to extract a set of links corresponding to the acquired destination from the route model, and generate at least a part of a route of the traveling body from the route starting point to the destination based on the travel frequency associated with the extracted link.

Abstract: A sightline estimation system includes a sightline detection unit, a related information acquisition unit, a holding unit, which holds sightline information, and a difference extraction unit. The difference extraction unit performs a selection process to select, from the related information held in the holding unit, the related information corresponding to the related information acquired at the time of current detection of a sightline of the driver and also extracts the difference between the distribution of sightlines of the driver acquired from the sightline information associated with the selected related information and the distribution of the sightlines acquired within a predetermined period including the current detection of the sightline. The sightline estimation system further includes a sightline estimation unit.

Abstract: A recommended-information providing system outputs recommended information about a destination in order to provide the recommended information for the information terminal. Collecting circuitry collects a plurality of action histories based on a plurality of action patterns of one or more moving bodies. Generating circuitry generates the recommended information for each attribute of the destination, which is a facility with a plurality of entrances, based on the plurality of collected action histories. Outputting circuitry outputs the recommended information generated according to the attribute of the requested destination in order to provide the recommended information for the information terminal.

Abstract: A route generation device configured to generate a travel route of a traveling body that travels through a network configured of a node and a link, the route generation device includes a route model storage unit configured to store a route model that is data in which a frequency of travel through each link by the traveling body in a past trip performed by the traveling body is classified by destination of the trip; a trip acquisition unit configured to acquire a route starting point and a destination of a traveling body; and a route generation unit configured to extract a set of links corresponding to the acquired destination from the route model, and generate at least a part of a route of the traveling body from the route starting point to the destination based on the travel frequency associated with the extracted link.

Abstract: Navigation systems, methods, and programs acquire deviated point information regarding a deviated point where a vehicle traveling a set route has deviated the route, and acquire post-deviation travel history information regarding a travel history after a deviated vehicle has deviated the route at the deviated point. The systems, methods, and programs determine based on the post-deviation travel history information for each of the deviated vehicles whether the deviated vehicle has traveled along a reroute set after deviating the route at the deviated point, and judges whether a rate of the deviated vehicles which were determined as having traveled along the reroute is a first predetermined value or more. If the rate of the deviated vehicles which were determined as having traveled along the reroute is the first predetermined value or more, the systems, methods, and programs determine that guidance of the route is not appropriate.

Abstract: An information processing system which includes a center server and a movable body performing a communication with the center server, includes a fuel efficiency information obtainment unit which obtains information on fuel efficiency when the movable body moves in a first direction heading toward the other direction from one direction in a predetermined section and obtains information on fuel efficiency when the movable body moves in a second direction heading toward one direction from the other direction in the section; a comparison unit which compares the fuel efficiency in the first direction with the fuel efficiency in the second direction; and a slope estimation unit which estimates a slope of the section based on a difference between the fuel efficiency in the first direction and the fuel efficiency in the second direction.

Abstract: When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 32 of an arithmetic processing unit 30 of an information processing center 10a indirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unit 33 calculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unit 32 and the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable.

Abstract: When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 32 of an arithmetic processing unit 30 of an information processing center 10a indirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unit 33 calculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unit 32 and the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable.

Abstract: An information processing system which includes a center server and a movable body performing a communication with the center server, includes a fuel efficiency information obtainment unit which obtains information on fuel efficiency when the movable body moves in a first direction heading toward the other direction from one direction in a predetermined section and obtains information on fuel efficiency when the movable body moves in a second direction heading toward one direction from the other direction in the section; a comparison unit which compares the fuel efficiency in the first direction with the fuel efficiency in the second direction; and a slope estimation unit which estimates a slope of the section based on a difference between the fuel efficiency in the first direction and the fuel efficiency in the second direction.

Abstract: Movement histories of a vehicle are registered appropriately in a database. A point specification unit specifies a geographical base of a user as a point serving as a nucleus of behavior of the user. When the need arises to delete a movement history stored in the database, a deletion subject data determination unit specifies a movement history having a low degree of relatedness to the geographical base of the user. A data deletion unit then deletes the movement history specified by the deletion subject data determination unit from the database. As a result, behavior histories having a high utility value to the user are held preferentially in the database.

Abstract: A recommended-information providing center collects action information including the travel history of vehicles, door opening/closing history, hazard lamp usage history, and the like from a plurality of vehicles including a vehicle. On the basis of the plurality of action history items collected from the vehicles, the recommended-information providing center generates recommended-information with respect to destinations in accordance with the attributes of the destinations. The recommended-information is information to be recommended about the destinations. The recommended-information providing center outputs requested recommended-information generated in accordance with the attributes of a destination, in order to provide the recommended-information to a vehicle having a navigation system mounted therein.

Abstract: Navigation systems, methods, and programs acquire deviated point information regarding a deviated point where a vehicle traveling a set route has deviated the route, and acquire post-deviation travel history information regarding a travel history after a deviated vehicle has deviated the route at the deviated point. The systems, methods, and programs determine based on the post-deviation travel history information for each of the deviated vehicles whether the deviated vehicle has traveled along a reroute set after deviating the route at the deviated point, and judges whether a rate of the deviated vehicles which were determined as having traveled along the reroute is a first predetermined value or more. If the rate of the deviated vehicles which were determined as having traveled along the reroute is the first predetermined value or more, the systems, methods, and programs determine that guidance of the route is not appropriate.

Abstract: When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 32 of an arithmetic processing unit 30 of an information processing center 10a indirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unit 33 calculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unit 32 and the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable.