Abstract: The extraction device according to the present application includes an acquisition unit and an extraction unit. The acquisition unit acquires behavior histories of users being candidates to whom content is to be distributed. The extraction unit extracts target users expected to perform specified behavior, based on a behavior history designated by a content provider, of the behavior histories acquired by the acquisition unit. For example, the extraction unit uses a model for determining the degree of similarity between a user performing the specified behavior and a target user expected to perform specified behavior based on the behavior history designated by the content provider in order to extract the target users.

Abstract: An extraction device according to the present application includes an acquisition unit and a notification unit. The acquisition unit makes a web search engine execute extraction processing based on an arbitrary query received from an information user and acquires, as an extraction result, the number of users corresponding to the arbitrary query from behavior histories of users to be processed. The notification unit notifies the number of users acquired by the acquisition unit to the information user who posts the arbitrary query. More specifically, based on a query related to setting of a condition about behavior or an attribution of the user, the acquisition unit acquires the number of users corresponding to the query.

Abstract: An information processing system includes a first acquisition unit that acquires first information about the content of a content item, a second acquisition unit that acquires second information about a location of a user who has accessed the content item, and a deriving unit that derives third information based on the first information acquired by the first acquisition unit and the second information acquired by the second acquisition unit, the third information associating a factor included in the content of the content item with a specific area in which the user is located.

Abstract: An extraction device according to the present application includes an acquisition unit and a notification unit. The acquisition unit makes a web search engine execute extraction processing based on an arbitrary query received from an information user and acquires, as an extraction result, the number of users corresponding to the arbitrary query from behavior histories of users to be processed. The notification unit notifies the number of users acquired by the acquisition unit to the information user who posts the arbitrary query. More specifically, based on a query related to setting of a condition about behavior or an attribution of the user, the acquisition unit acquires the number of users corresponding to the query.

Abstract: The extraction device according to the present application includes an acquisition unit and an extraction unit. The acquisition unit acquires behavior histories of users being candidates to whom content is to be distributed. The extraction unit extracts target users expected to perform specified behavior, based on a behavior history designated by a content provider, of the behavior histories acquired by the acquisition unit. For example, the extraction unit uses a model for determining the degree of similarity between a user performing the specified behavior and a target user expected to perform specified behavior based on the behavior history designated by the content provider in order to extract the target users.