Content recommendation

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In content recommendation, we try to solve the problem of abundance of information by recommending relevant content to users. Examples of content recommendation include recommending tweets on Twitter, status updates on Facebook, news on Google Reader, etc.

Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=Content_recommendation&oldid=3914"