Abstract: An analysis device includes: a relationship construction unit configured to construct a relationship between a product and an advertiser by using the number of common users as a link based on user purchase histories of the product and user browsing histories of an advertisement associated with the advertiser; and a clustering unit configured to cluster the product and the advertiser together into a cluster based on the relationship between the product and the advertiser constructed by the relationship construction unit, wherein the number of common users is the number of users purchased the product and browsed the advertisement associated with the advertiser for the product and the advertiser linked to each other.

Abstract: A learning apparatus 10 of one embodiment includes an acquisition unit 11 for acquiring action history data indicating action history for each of a plurality of users, and a learning unit 13 for learning parameter groups PC, C included in a predictive model M for predicting an action of each of the plurality of users by using the action history data as training data. The parameter group PC is a parameter group related to a membership rate of each user for each of a plurality of clusters. The parameter group C is a parameter group related to an action tendency of each cluster for each of a plurality of actions.

Abstract: A state estimation device includes a sensor information acquisition unit that acquires time-series sensor data, a state allocation unit that provisionally allocates a state label to sensor data, a first model learning unit that calculates a feature parameter of sensor data to which the same state label is allocated and performs learning of a state estimation model that classifies the sensor data at each time into any one of states, a second model learning unit that performs learning of a state transition model whose input is transition of state labels before a transition reference time and whose output is a state label at a time subsequent to the transition reference time, a state allocation update unit that updates a state label allocated to each time based on the state at each time estimated, and an output unit that outputs the state estimation model and the state transition model.

Abstract: A profile generation device 10 includes the region profile estimation unit 103 configured to estimate a region profile indicating the features of a region related to a visit history of a user who has a user profile indicating the user's features on the basis of the visit history and the user profile and the user profile generation unit 107 configured to generate a user profile of a user who does not have a user profile on the basis of a visit history of the user and the region profile.