Quantifying textual terms of items for similarity measurement.
Information Sciences（2017）
Abstract
•Effectively quantifying textual terms, so that the similarity can fall in any points in [0,1].•Provide more novelty to recommender system users, since they can discover more preferred items that are unknown before.•Classifying dimensions of recommender system items based on their traits, and therefore future research projects will be facilitated in this area.
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Key words
Recommender system,Item similarity,Dimension classification,Textual attribute quantifying
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