Difference between revisions of "Content recommendation"

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

Latest revision as of 19:00, 4 February 2011

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.