Difference between revisions of "Recommender Systems"
From SI410
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| − | '''Recommender systems''' use collaborative filtering systems to assess a user's likes, dislikes, even loves and hatreds to make suggestions as to potential other product that the user might like besides the page he is actually viewing. The most notable reputation systems include Amazon, Netflix, and iTunes. | + | '''Recommender systems''' use collaborative filtering systems to assess a user's likes, dislikes, even loves and hatreds to make suggestions as to potential other product that the user might like besides the page he is actually viewing. The most notable reputation systems include Amazon, Netflix, Pandora Radio, and iTunes. |
Revision as of 05:26, 13 December 2011
Recommender systems use collaborative filtering systems to assess a user's likes, dislikes, even loves and hatreds to make suggestions as to potential other product that the user might like besides the page he is actually viewing. The most notable reputation systems include Amazon, Netflix, Pandora Radio, and iTunes.
