Abstract: Provided is an information processing apparatus including a processing unit configured to perform a predetermined process on the basis of first information about a user that is acquired by a first apparatus from around a body of the user, and second information about a user that is acquired by a second apparatus different from the first apparatus.

Abstract: The present technology relates to an information processing device, an information processing method, and a program with which convenience of a user in utilization of an application program can be improved. An information acquisition unit acquires first information indicating a current situation including a current date and time and a current position of a user. A selection unit selects a presented application, which is an application program presented to a user, on the basis of a use history, a profile of the user, and the first information, the use history being a use history of an application program of a user and including second information indicating a situation in activation which situation includes a date and time and a position of the user in activation of each application program. The present technology can be applied, for example, to a device or a program that controls a display on a lock screen or a launcher screen.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

Abstract: There is provided an information processing apparatus including a setting unit that sets a search character string, a searching unit that searches information including the set search character string, and a determining unit that extracts a co-occurrence character string candidate group other than partial character strings appearing as only a part of other partial character strings, among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, and determines a co-occurrence character string from the co-occurrence character string candidate group, on the basis of the extracted co-occurrence character string candidate group and kinds of characters used in characters before and after the co-occurrence character string candidate group.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

Abstract: Disclosed herein is an information processing apparatus including: a storage configured to store a plurality of questions, each of the plurality of questions associated with one or more other questions based on metadata, the metadata indicating a learning sequence between the questions; and circuitry configured to: obtain a proficient degree of a first question among the questions; set a second question among the questions as a target question; and generate route information representing a route from the first question to the second question based on the metadata and the proficient degree of the first question.

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: There is provided an information processing apparatus including a setting unit that sets a search character string, a searching unit that searches information including the set search character string, and a determining unit that extracts a co-occurrence character string candidate group other than partial character strings appearing as only a part of other partial character strings, among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, and determines a co-occurrence character string from the co-occurrence character string candidate group, on the basis of the extracted co-occurrence character string candidate group and kinds of characters used in characters before and after the co-occurrence character string candidate group.

Abstract: There is provided an information processing device including a content analysis unit configured to analyze a group of content by setting individual pieces of content included in the group of content as nodes of a graph structure and a link between the pieces of the content as a link of the graph structure, and a learning support information generation unit configured to generate learning support information that supports learning of knowledge provided as at least a part of the group of content based on a result of the analysis.

Abstract: There is provided an information processing apparatus including a setting unit that sets a search character string, a searching unit that searches information including the set search character string, and a determining unit that extracts a co-occurrence character string candidate group other than partial character strings appearing as only a part of other partial character strings, among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, and determines a co-occurrence character string from the co-occurrence character string candidate group, on the basis of the extracted co-occurrence character string candidate group and kinds of characters used in characters before and after the co-occurrence character string candidate group.

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 item recommendation system includes: a feedback receiving unit receiving feedbacks with respect to items by users; a feedback history storage unit storing information of feedbacks received at present or in the past by the feedback receiving unit in units of combinations of users and items; a relevance calculation unit calculating relevance between items base on first information indicating the degree in which the same user gives feedbacks to respective items and second information indicating the degree in which many users give feedbacks by using feedback information stored by the feedback history storage unit when receiving the feedback by the feedback receiving unit; and a recommendation unit immediately recommending items having higher relevance with respect to the item to the user who has given the feedback to the item by the feedback receiving unit based on the relevance calculated by the relevance calculation unit.

Abstract: Methods and systems include receiving feedback from one of a plurality of users for one of a plurality of items, storing the received feedback and past feedback received from the plurality of users, wherein the received feedback and past feedback are stored as combinations of users and items having feedback given by the users, calculating relevance between the one of the plurality of items and another one of the plurality of items, based on first information indicating a degree of feedback given by the one of the plurality of users for the plurality of items, and second information indicating a degree of stored past feedback given by the plurality of users to the plurality of items, and immediately recommending items to the one of the plurality of users, the recommended items having the highest relevance to the one of the plurality of items, based on the calculated relevance.

Abstract: Disclosed herein is an information processing apparatus including: a sensor information acquisition section configured to acquire sensor information outputted from a sensor for detecting a user motion and sensor information outputted from a sensor for obtaining a user current location; an action pattern detection block configured to analyze sensor information indicative of a user motion to detect an action pattern corresponding to the acquired sensor information from a plurality of action patterns obtained by classifying user's actions that are executed in a comparatively short time; a keyword conversion block configured to convert, on the basis of the sensor information indicative of a current location, the information into at least one keyword associated with the current location; and a text extraction block configured to extract a text for user presentation from a plurality of texts on the basis of the detected action pattern and the generated at least one keyword.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

Abstract: There is provided an information processing apparatus including an evaluation value calculating unit that acquires time-series data of a discrete system including sampling values xi in a measurement period i, calculates a movement deviation vt based on a movement mean mt of N sampling values xt, xt?1, xt?2, . . . , and xt?N+1 corresponding to predetermined periods before a predetermined measurement period t, and calculates an evaluation value st showing a rapid change in the time-series data of the discrete system in the measurement period t, on the basis of the movement deviation vt corresponding to the measurement period t and a movement deviation vt?1 corresponding to a measurement period t?1.

Abstract: There is provided an information processing apparatus including a setting unit that sets a search character string, a searching unit that searches information including the set search character string, and a determining unit that extracts a co-occurrence character string candidate group other than partial character strings appearing as only a part of other partial character strings, among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, and determines a co-occurrence character string from the co-occurrence character string candidate group, on the basis of the extracted co-occurrence character string candidate group and kinds of characters used in characters before and after the co-occurrence character string candidate group.

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.