Difference between revisions of "Recommender Systems"

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[[File:Amazon-recommendations.jpg|200px|thumb|right|Amazon's Recommendations for a User]]
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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, Pandora Radio, 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 05:37, 13 December 2011

Amazon's Recommendations for a User

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.


History

Algorithms

Ethical Issues

References