Abstract:Collaborative Filtering (CF) is a method behind the successful of Recommendation System by attempting to predict user interested from peer's opinions and recommend similar items that match user's interested. A Challenge for collaborative filtering is data characteristics. It's always contains a lot of missing values either by gotten number of rating from user is very low or new items add to the system. Consequently, accurate prediction is difficult due to there is not much data can be used to train the system.… Show more
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