Patent ID: 9607077
Date: 2017-03-28
CPC Classifications: G06F

Claim:
1. A method, comprising: jointly processing user interest and content semantics to summarize a particular item of content of a plurality of items of content as one or more topics based, at least in part on a combination of the user interest and the content semantics, wherein the user interest is based at least in part on a relationship between users and the particular item of content, and the content semantics is based at least in part on a relationship between the particular item of content and co-occurrence of keywords in the plurality of items of content, wherein the user interest for the particular item of content is determined based, at least in part, on an estimated selection rate of the particular item of content, the estimated selection rate being based, at least in part, on a freshness factorization feature of the particular item of content, the jointly processing further comprising: generating a user behavior cube to model a relationship between the users, the plurality of items of content, and the content semantics; factorizing the user behavior cube with respect to a combination of latent interests of the users and the content semantics to determine a correlation between at least the users and the plurality of items of content; generating a content recommendation for a particular user based at least in part on the determined correlation; and transmitting one or more electronic signals via an electronic communication network to a computing device, wherein the one or more electronic signals comprises the content recommendation.