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.
Please help me write a proper abstract based on the patent claims. CLAIM: 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.