Information processing device, information processing method, and program

Abstract

Provided is an information processing device including a collection unit configured to collect meta feedback that is feedback on a combination including a content, a user, and feedback on the content of the user, and a prediction unit configured to obtain a predicted acceptance degree that is a prediction value of a degree to which an active user that is a target user accepts a combination including at least one of the content, the user, and the feedback, based on the collected meta feedback.

What is claimed is: 
     
         1 . An information processing apparatus comprising:
 circuitry configured to
 collect feedback information on at least one of a content, a first user, and a feedback for the content or for the first user, 
 analyze the feedback information to determine a feature amount of the feedback information and a feature amount of the first user, and 
 provide, to a second user, another content based on the feature amount of the feedback information and the feature amount of the first user. 
   
     
     
         2 . The information processing apparatus according to  claim 1 ,
 wherein the circuitry is further configured to perform an analysis to determine an influencer using the feature amount of the feedback information and the feature amount of the first user.   
     
     
         3 . The information processing apparatus according to  claim 2 ,
 wherein the influencer corresponds to an influential user from whom corresponding feedback information is readily accepted by the second user.   
     
     
         4 . The information processing apparatus according to  claim 3 ,
 wherein the second user is an active user of the information processing apparatus.   
     
     
         5 . The information processing apparatus according to  claim 1 ,
 wherein the feature amount of the feedback information is associated with at least one feature element extracted from the feedback information.   
     
     
         6 . The information processing apparatus according to  claim 1 ,
 wherein the second user is an active user of the information processing apparatus.   
     
     
         7 . An information processing method comprising:
 collecting feedback information on at least one of a content, a first user, and a feedback for the content or for the first user,   analyzing the feedback information to determine a feature amount of the feedback information and a feature amount of the first user, and   providing, to a second user, another content based on the feature amount of the feedback information and the feature amount of the first user.   
     
     
         8 . The information processing method according to  claim 7 , further comprising:
 performing an analysis to determine an influencer using the feature amount of the feedback information and the feature amount of the first user.   
     
     
         9 . The information processing method according to  claim 8 ,
 wherein the influencer corresponds to an influential user from whom corresponding feedback information is readily accepted by the second user.   
     
     
         10 . The information processing method according to  claim 9 ,
 wherein the second user is an active user of the information processing apparatus.   
     
     
         11 . The information processing method according to  claim 7 ,
 wherein the feature amount of the feedback information is associated with at least one feature element extracted from the feedback information.   
     
     
         12 . The information processing method according to  claim 7 ,
 wherein the second user is an active user of the information processing apparatus.   
     
     
         13 . A non-transitory computer-readable medium having embodied thereon a program, which when executed by a computer causes the computer to execute a method, the method comprising:
 collecting feedback information on at least one of a content, a first user, and a feedback for the content or for the first user,   analyzing the feedback information to determine a feature amount of the feedback information and a feature amount of the first user, and   providing, to a second user, another content based on the feature amount of the feedback information and the feature amount of the first user.