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: An object is to predict a more accurate demand. A demand prediction device (1) includes an information storing unit (10) configured to store a plurality of demand prediction models, each of the demand prediction models being a prediction model configured to predict a demand in a demand state relating to demand and differing between each demand prediction model and a state prediction model that is a prediction model predicting a state degree that is a degree to which a designated timing is applicable to each demand state; and a demand predicting unit (15) configured to predict a demand on the basis of the demands predicted by the plurality of demand prediction models stored by the information storing unit (10) and the state degree predicted by the state prediction model stored by the information storing unit (10).

Abstract: An object is to forecast a demand more flexibly. A demand forecasting device 1 that forecasts a demand in a first area, which is a predetermined area, includes a storage unit (10) configured to store area information regarding a second area, the second area being a predetermined area relevant to a demand of the first area, an acquisition unit (11) configured to acquire information on the number of people in the second area indicated by the area information stored in the storage unit (10), and a forecasting unit (12) configured to forecast a demand in the first area on the basis of the information on the number of people in the area acquired by the acquisition unit (11).

Abstract: In a method for controlling the wheel suspension of a motor vehicle having an anti-roll bar for a front axle, an anti-roll bar connected to a rear axle, at least one sensor, one control unit and a circuit including an operating medium with a supply reservoir, a directional control device and an actuator for each anti-roll bar with each actuator being assigned a particular section of the circuit, different sections of the circuit are in control of different actuators so as to be actuated in opposite directions to one another as a function of vehicle operating conditions, in order to improve the traction of the vehicle on uneven underlying surfaces.

Abstract: In a photosensitive lithographic plate including a photosensitive layer coated on the surface of a substrate and a mat layer formed on the photosensitive layer, plural resinous protrusions are provided on the back surface of the substrate in the form of a layer. Deterioration of vacuum adhesion due to the mat collapsed in a production process of a photosensitive lithographic plate including a step of winding is prevented, consequently, a photosensitive lithographic plate with uniform quality is obtained regardless of its wound position.