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Diversity enhancement in community recommendation using tensor decomposition and co-clustering

The major aim of Recommender System is to provide appropriate items for user, based on his preferences and intuitively be assessed with accuracy based metrics like precision and recall. Though, diversity of recommended lists is a new emerging debate in RS evaluation. This work tries to improve diver...

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書誌詳細
主要な著者:	Mohamed Dahlan, Halina, Che Hussin, Ab. Razak, Koochi, Sareh Rashidi, Koochi, Morteza Rashidi
フォーマット:	論文
出版事項:	Asian Research Publishing Network 2015
主題:	HF Commerce
オンライン･アクセス:	http://eprints.utm.my/id/eprint/60202/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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