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Browsing Fourth Local Conference on Parallel and Soft Computing by Subject "Collaborative filtering"

Browsing Fourth Local Conference on Parallel and Soft Computing by Subject "Collaborative filtering"

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  • Phyo, Thet Mon; Oo, Nhinn Minn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems help the users to find and evaluate items of interest. They connect user with items to consume by associating the opinions of other individuals with the consuming user’s actions or opinions. Such system ...
  • Aye, Myat Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    As the number of items increases dramatically, the problem of information overload becomes more serve when browsing and searching. The agents overcome this problem and help the user interaction on a working environment on ...
  • Hlaing, Nan Yu; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are programs which attempt to predict items that a user may be interest in. Recommender systems acts personalized decision guides, aiding users in decisions on matter related to personal taste. Recommender ...

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