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: 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: An information processing apparatus may include a processor to acquire information associated with behavior of a user and information associated with satisfaction degree of the user, and to analyze an association between the information associated with behavior and the information associated with satisfaction degree.

Abstract: There is provided a device that generates a first feature based on information of a first type included in first content selected by a target user in past, generates a second feature based on information of a second type included in second content selected by the target user after selecting the first contest, generates a relational feature showing a relationship between the first content and the second content, based on the first feature and the second feature, and searches for content to be recommended to the target user by using the information of the first type included in content newly selected by the target user and the relational feature.

Abstract: An electronic processing system, and a method of operation thereof, including: a verification module for connecting to a gaming network using a user account and for associating a verified account with the user account by performing a single click operation on a following button to follow the verified account; a recommendation module, coupled to the verification module, for receiving a comment about the verified account in a comment entry control; and a display module, coupled to the recommendation module, for displaying the comment in a comments list display.

Abstract: Recommending one or more items among a plurality of items to a first user by generating a weighted data set by applying a weight factor to each of a plurality of user event data sets each derived from a previous user event of a second user of the recommendation system. Each of the user event data sets includes a user identifier of the second user, an item identifier of an item involved in the previous user event, and time information regarding a time of the previous user event. The weight factor is derived from the time information of the corresponding previous user event. One or more recommended items are determined based on an algorithm using the weighted data set.

Abstract: There is provided an information processing device including: a storage unit that stores a plurality of exercise models each including one or more kinds of measured values measured in time series for a person doing exercise and exercise description data specifying exercise recognized based on the measured values; a selection unit that selects one or more exercise models from the plurality of exercise models stored in the storage unit according to a designated condition; and an output unit that outputs a series of output images representing the measured values and exercise specified by the exercise description data in time series for the exercise model selected by the selection unit.

Abstract: An information processing apparatus includes a managing unit that manages a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, a first extracting unit that extracts items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items, a taste managing unit that manages taste of a user, a second extracting unit that calculates the degree of similarity between the taste managed by the taste managing unit and each item to extract items with higher degrees of similarity, and a recommending unit that recommends a predetermined number of items among the items extracted by the first extracting unit and the items extracted by the second extracting unit to the user.

Abstract: There is provided an information processing device including: a storage unit that stores a plurality of exercise models each including one or more kinds of measured values measured in time series for a person doing exercise and exercise description data specifying exercise recognized based on the measured values; a selection unit that selects one or more exercise models from the plurality of exercise models stored in the storage unit according to a designated condition; and an output unit that outputs a series of output images representing the measured values and exercise specified by the exercise description data in time series for the exercise model selected by the selection unit.

Abstract: An information processing apparatus includes a managing unit that manages a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, a first extracting unit that extracts items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items, a taste managing unit that manages taste of a user, a second extracting unit that calculates the degree of similarity between the taste managed by the taste managing unit and each item to extract items with higher degrees of similarity, and a recommending unit that recommends a predetermined number of items among the items extracted by the first extracting unit and the items extracted by the second extracting unit to the 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.

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: 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: There is provided an information processing apparatus including: an acquiring unit acquiring a title of content; an analyzing unit dividing the title into tokens; a calculating unit calculating, for each token, an evaluation value based on a token length and weighted according to the token's position in the title; a mapping unit mapping, for each token, a token point shown by an ordinal number showing the token's position in the title and the evaluation value, onto a coordinate plane; a deciding unit deciding, based on the mapped token points, coordinates of a criterion point used as a criterion for extracting a series identifier and an extraction criterion based on the criterion point; an extracting unit extracting token points that conform to the extraction criterion out of the token points; and a generating unit generating the series identifier from the character strings included in tokens associated with the extracted token points.

Abstract: An information processing apparatus is configured to search for and recommend content by considering both the feature quantities of content and the references of the user. A correction unit corrects item feature quantities of a recommendation target item by using user preferences of a recommendation target user. A matching unit compares the item feature quantities corrected by the correction unit with the item feature quantities of another item and searches for content having item feature quantities that resemble those of the recommendation target item. A recommendation unit recommends related items to the recommendation target user having features resembling those of the recommendation target item.

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: Provided is an information processing apparatus including a user extraction unit extracting, from second users whose information is set to be viewed by a first user in a service where it is possible to view information sent by other users, a presentation target user to present information to the first user, based on at least one of a first evaluation with respect to each second user by the first user, a second evaluation with respect to each second user within a range of the first user and the second users, and a third evaluation with respect to each second user within a predetermined range of users in the service, a first information extraction unit extracting information presented to the first user, from information sent from the presentation target user, and a presentation control unit controlling presentation of information to the first user.

Abstract: Recommending one or more items among a plurality of items to a first user by generating a weighted data set by applying a weight factor to each of a plurality of user event data sets each derived from a previous user event of a second user of the recommendation system. Each of the user event data sets includes a user identifier of the second user, an item identifier of an item involved in the previous user event, and time information regarding a time of the previous user event. The weight factor is derived from the time information of the corresponding previous user event. One or more recommended items are determined based on an algorithm using the weighted data set.

Abstract: There is provided an information processing apparatus including: an acquisition unit successively specifying fields to be processed out of a plurality of fields included in program information in electronic program guide information and acquiring a character string included in each specified field; an analysis unit analyzing the acquired character string and outputting an analysis result for dividing the character string into a plurality of units; a sequence generating unit generating, for each field, a sequence corresponding to character string lengths of the units based on the outputted analysis result; a variance value calculating unit calculating, for each field, a variance value showing a degree of variance of magnitudes of values of items in the sequence; and a specifying unit specifying, for each program, a cast member field, in which cast member names are listed, out of the plurality of fields based on the calculated variance values.

Abstract: An information processing apparatus includes a managing unit that manages a scale calculated based on descriptions of an operation performed on a predetermined item and a series to which the item belongs in association with each other, a first extracting unit that extracts items belonging to the same series as top N series, obtained by sorting the scales, from among a plurality of items, a taste managing unit that manages taste of a user, a second extracting unit that calculates the degree of similarity between the taste managed by the taste managing unit and each item to extract items with higher degrees of similarity, and a recommending unit that recommends a predetermined number of items among the items extracted by the first extracting unit and the items extracted by the second extracting unit to the user.