Sony Corporation

Sony Group Corporation

Masanori Miyahara

Naoki Kamimaeda

Takehiro Hagiwara

Katsuyoshi Kanemoto

Kazunori Araki

Satoshi Suzuno

Yuji Kitazawa

Tomohiro Takagi

Kazuki Yoshiyama

Ryo Nakahashi

Nobuhiro Kihara

Thomas Kemp

Masataka Shinoda

Masatomo Kurata

Tomohiro Tsunoda

Shinobu Kuriya

Takashi Ogata

Yuuji Takimoto

Yasutaka Fukumoto

Takeshi Yaeda

Takagi Tomohiro

There is provided an information processing apparatus to reduce human burdens in setting work for a watch-over system, the information processing apparatus including: a determination unit that determines whether or not a position of a target is within a reference region, the reference region being a geographic region; an extraction unit that extracts a reference region candidate as a candidate for the reference region; and an output unit that outputs information related to the extracted reference region candidate in association with a reference condition.

Information processing apparatus, information processing method, and program

Information processing apparatus, information processing method, and program for determining a position of a target in relation to a reference region

Provided is an information processing device that includes a display control unit that controls display of condition information indicating conditions of livestock, an acquisition unit that acquires task information indicating a task related to the livestock, which is based on the condition information, and an output unit that outputs command information that indicates a command for the task indicated by the task information.

Information processing device and information processing method

The present technology relates to an information processing device, an information processing method, and a program that enable efficient generation of a spatiotemporal map. A requester selection unit selects a requester of data concerning a certain location on a spatiotemporal map in which data changes with time from among a plurality of data acquisition units on the basis of at least one of contexts and profiles of the data acquisition units as well as contents of requested data. A data requesting unit requests data from the requester. A map generation unit generates the spatiotemporal map using data from the requester. The present technology can be provided, for example, to a server that provides a spatiotemporal map.

Information processing device, information processing method, and program

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. The output unit outputs the related expressions and identification information for identifying the related expressions.

Information processing to search for related expressions

There is provided an information processing device including an activity acquiring unit configured to acquire an activity of a first user in a first scene of content, a scene extracting unit configured to extract a second scene similar to the first scene from the content or another content, and a feedback diverting unit configured to divert a feedback that arises in the first scene in response to the activity of the first user, to the second scene provided to a second user.

Providing feedback in a scene presented to a user based on an activity of the user

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.

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.

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.

Content recommendation device, recommended content search method, and program

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.

System, apparatus, and method for recommending items

Disclosed herein is an imaging method including: by an imaging device, detecting a user that can be present in a predetermined area; calculating three-dimensional coordinates of an eye and a hand of the detected the user; determining an imaging range on a basis of the calculated the three-dimensional coordinates of the eye and the hand of the user; and imaging the determined the imaging range.

Imaging method and imaging device

An apparatus, method and computer program storage device cooperate to acquire an image of at least a part of a meal. An analysis is then done on the image to determine a substance in the image. The analysis also considers caloric intake and exercise data and compares the same with a health management model to arrive at a recommendation for a user who consumed the meal. Various optional features include using wireless communications to receive exercise data from sensors, as well as communication related images such as the menu of a restaurant or the location of the restaurant.

Information processing apparatus, information outputting method and computer program storage device

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.

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Tokyo, Japan

Masanori Miyahara