Abstract: A state data acquisition unit 120 acquires state data indicative of a progress state of a game. A situation estimation unit 122 estimates a user's game situation from the acquired state data. An internal state estimation unit 124 estimates an internal state of the user from the estimated game situation. A comment generation unit 126 generates a comment to the user on the basis of the estimated internal state of the user.

Abstract: An information processing device (10) includes an extraction unit (18C) and an output control unit (18D). The extraction unit (18C) extracts a specific situation of a content whose situation changes according to an action of a user based on an action model of the user. The output control unit (18D) outputs advice information regarding the specific situation.

Abstract: To provide an information processing device, a control method, and a program that can determine the granularity of information at the presentation of the information in accordance with a user status. An information processing device including: a retrieval unit that retrieves information in response to a request of a user; an acquisition unit that acquires information on a current user status; a determination unit that determines granularity of information according to the acquired information on the user status when the retrieved information is presented; and a presentation control unit that controls presentation of the retrieved information with the determined granularity of information.

Abstract: Provided are an apparatus and a method enabling efficient reinforcement learning to be performed by input of an annotation. Included are a database configured to store respective pieces of information of a state, an action, and a reward of a processing execution unit, a learning execution unit configured to execute learning processing in accordance with a reinforcement learning algorithm to which the information stored in the database is applied, and an annotation input unit configured to input annotation information including sub reward setting information and store the annotation information in the database. The learning execution unit executes learning processing to which the respective pieces of information of the state, the action, and the reward input from the processing execution unit and the sub reward setting information are applied, derives an action determination rule, and determines an action which is caused to be executed in accordance with the action determination rule.

Abstract: There is provided an information processing apparatus and information processing method that enables a user to easily teach an action with regard to action learning. A touchscreen outputs unknown state element information that indicates an unknown state element, and teaching request information that requests teaching of an action corresponding to an ambient state, in a case where the ambient state includes the unknown state element. For example, it is possible to apply the present disclosure to a cleaner robot or the like that controls actions on the basis of an action model for finding a probability P (a|s) that the cleaner robot performs an action a in a state s.

Abstract: There is provided an information processing apparatus and an information processing method each enabling a reward to be properly imparted for an action. The information processing apparatus includes a reward estimating part executing estimation of a reward for an action on a basis of a user input for the action and a presentation control part executing control for presentation of an estimated reward. The present technique is applicable to an agent such as a robot, an electronic device, software, or the like that can, for example, assist a user, communicate with the user, and the like.

Abstract: Disclosed is an information processing apparatus including an expression extraction unit, a feature extraction unit, a clustering unit, a related expression extraction unit, and an output unit. The expression extraction unit extracts a plurality of expressions from a plurality of documents. The feature extraction unit extracts feature amounts of the extracted respective expressions while distinguishing the expressions having the same notation. The clustering unit clusters the extracted respective expressions together while distinguishing the expressions having the same notation and calculates assignment degree vectors having assignment degrees of the respective expressions to two or more respective clusters as components. The related expression extraction unit extracts related expressions having the assignment degree vectors similar to those of a provided input expression while distinguishing the expressions having the same notation.

Abstract: [Object] To provide a mechanism capable of characterizing data appropriately. [Solution] An information processing apparatus includes: an acquisition section that acquires first feature information, to which meaning is assigned, and second feature information, to which meaning is not assigned; and a generation section that generates time-series data having features indicated by the first feature information and the second feature information acquired by the acquisition section.

Abstract: Disclosed is an information processing apparatus including a metadata expansion unit. The metadata expansion unit is configured to expand metadata of a target item using metadata of other items to which a responder has shown a response, the responder being a user having shown a response to the target item of which the metadata is to be expanded.

Abstract: To provide an information processing device, a control method, and a program that can determine the granularity of information at the presentation of the information in accordance with a user status. An information processing device including: a retrieval unit that retrieves information in response to a request of a user; an acquisition unit that acquires information on a current user status; a determination unit that determines granularity of information according to the acquired information on the user status when the retrieved information is presented; and a presentation control unit that controls presentation of the retrieved information with the determined granularity of information.

Abstract: There is provided an information processing apparatus including an obtaining unit configured to obtain one or more other information elements corresponding to one information element based on a degree of association between the one information element and the other information elements, an extraction unit configured to extract a description of a type of association between the one information element and the obtained other information elements, and a presentation control unit configured to perform control in a manner that the one information element, the other information elements, the type of association, and the description of the type of association are presented.

Abstract: Techniques are disclosed for selecting an item to recommend to a user from a plurality of items. A first set of scores indicating degrees of association between items of the plurality of items may be calculated using a first scoring algorithm having a first scale, and a second set of scores indicating degrees of association between items of the plurality of items may be calculated using a second scoring algorithm having a second scale. The second set of scores may be adjusted to match the second scale to the first scale, and a third set of scores may be calculated for the plurality of items by combining the first set of scores and the adjusted second set of scores. An item may be selected from the plurality of items to recommend to the user based on the third set of scores.

Abstract: Disclosed is an information processing apparatus including an expression extraction unit, a feature extraction unit, a clustering unit, a related expression extraction unit, and an output unit. The expression extraction unit extracts a plurality of expressions from a plurality of documents. The feature extraction unit extracts feature amounts of the extracted respective expressions while distinguishing the expressions having the same notation. The clustering unit clusters the extracted respective expressions together while distinguishing the expressions having the same notation and calculates assignment degree vectors having assignment degrees of the respective expressions to two or more respective clusters as components. The related expression extraction unit extracts related expressions having the assignment degree vectors similar to those of a provided input expression while distinguishing the expressions having the same notation.

Abstract: Disclosed is an information processing apparatus including a metadata expansion unit. The metadata expansion unit is configured to expand metadata of a target item using metadata of other items to which a responder has shown a response, the responder being a user having shown a response to the target item of which the metadata is to be expanded.

Abstract: An information processing apparatus includes a display and a controller that controls display of a current program. The controller also controls display of a plurality of first images in a first arrangement. Each first image corresponds to content of the current program. The controller additionally controls display of a plurality of second images in a second arrangement. Each second image corresponds to content associated with a user.

Abstract: Techniques are disclosed for selecting an item to recommend to a user from a plurality of items. A first set of scores indicating degrees of association between items of the plurality of items may be calculated using a first scoring algorithm having a first scale, and a second set of scores indicating degrees of association between items of the plurality of items may be calculated using a second scoring algorithm having a second scale. The second set of scores may be adjusted to match the second scale to the first scale, and a third set of scores may be calculated for the plurality of items by combining the first set of scores and the adjusted second set of scores. An item may be selected from the plurality of items to recommend to the user based on the third set of scores.