Abstract: An information processing apparatus according to an embodiment of the present technology includes a first learning unit, a second learning unit, an evaluation unit, and an adjustment unit. The first learning unit causes a predetermined learning model to perform learning. The second learning unit causes a conversion model to perform learning, the conversion model converting an output of the predetermined learning model into a rule group described in a format that can be interpreted by a user. The evaluation unit acquires evaluation information obtained by evaluating the rule group in accordance with a predetermined standard. The adjustment unit adjusts learning processing of the predetermined learning model on the basis of the evaluation information.

Abstract: An information processing apparatus (1) includes a learning unit (32), a calculation unit (33), and a presentation unit (34). The learning unit (32) learns the first model based on predetermined new data acquired from a terminal device (100) possessed by the user and the second model based on joined data obtained by joining shared data stored in advance in the storage unit (4) as additional data with the new data. The calculation unit (33) calculates the improvement degree indicating the degree of improvement in the output precision of the second model to the output of the first model. The presentation unit (34) generates predetermined presentation information based on the improvement degree calculated by the calculation unit (33).

Abstract: There is provided an information processing method, an information processing device, and a program that facilitates a security measure for a machine learning model or an API for using the machine learning model, the information processing system including one or more information processing devices controls a user interface for performing a setting related to security of a machine learning model, and generates the machine learning model corresponding to content set via the user interface. The present technology can be applied to, for example, a system that generates and discloses, for example, a machine learning model or an API for using the machine learning model.

Abstract: The present technology relates to an information processing method, an information processing device, and a program capable of improving prediction accuracy of a prediction model. An information processing system including one or more information processing devices performs training of the prediction model on the basis of prediction data used for predictive analysis using the prediction model and learning data. Furthermore, the information processing system including one or more information processing devices performs the predictive analysis on the basis of the prediction model trained on the basis of the learning data and the prediction data, and the prediction data. The present technology can be applied to, for example, a system that performs the predictive analysis for various services.

Abstract: An information processing apparatus (100) according to the present disclosure includes: a control unit (130) that acquires a past case including a past prediction target and an analysis data set used for predictive analysis for the prediction target, acquires data to be used for predictive analysis, extracts a prediction target in a case of performing the predictive analysis by using the data based on the data and the past case, and constructs, based on the data, a data set to be used for the predictive analysis for the extracted prediction target.

Abstract: An information processing device including: an input unit to which a first data set including a plurality of pieces of data is input; a determination unit that determines processing applied when a prediction model based on a second data set similar to the first data set is generated; and a prediction model generation unit that generates a prediction model based on the first data set by applying the processing determined by the determination unit to the first data set.

Abstract: This technology relates to an information processing apparatus, an information processing method, and a program for permitting relatively easy comparison and examination of learning histories. An information processing apparatus includes a control section configured to perform control to display multiple prediction models as models trained by machine learning, and respective pieces of model information regarding the prediction models. This technology can be applied, for example, to information processing apparatuses that perform learning and prediction by machine learning.

Abstract: 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.

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 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.

Abstract: The present disclosure relates to an information processing apparatus, an information processing method, and a program that allow improvement of a learning data set to be facilitated. A prediction analysis section calculates an evaluation value for an evaluation data set used to evaluate a prediction model, for a predetermined number of data samples in a learning data set used for training of the prediction model, and on the basis of the evaluation value for all the data samples in the learning data set and gradients of the data samples, an advice generation section generates presentation information for presenting advice related to at least one of the data samples in the learning data set or feature amounts of the data samples. A technique according to the present disclosure can be applied to prediction of a contract price of a previously used condominium, for example.

Abstract: There is provided an information processing apparatus as a mechanism capable of more appropriately specifying reasons of prediction by a prediction model, the information processing apparatus including a control unit configured to extract a characteristic amount set from characteristic amounts included in a plurality of pieces of input data input to a prediction model configured by a non-linear model, in which an absolute value of a degree of contribution of the extracted characteristic amount set to a prediction result by the prediction model is equal to or greater than a first threshold, and an absolute value of a degree of contribution of a characteristic amount set obtained by excluding arbitrary one of the characteristic amounts from the extracted characteristic amount set to a prediction result by the prediction model is equal to or less than a second threshold.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 further improve the efficiency of livestock management. [Solution] Provided is an information processing device including: 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 input on a basis of the condition information; and an output unit that outputs command information for providing a command for the task indicated by the task information.

Abstract: 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.

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: 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.