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- W2383907719 abstract "Collaborative filtering, which is widely used recommendation algorithm, usually provides predicted ratings as recommendation. A new algorithm is proposed, which uses a probability value as the output showing the chance that a user might like an item. It employs a user-based approach. At first, a mapping model between the predictions and the probability values is constructed by training. The recommendations are then generated based on the opinions of similar users. Experimental results show that the algorithm can give accurate predictions." @default.
- W2383907719 created "2016-06-24" @default.
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- W2383907719 date "2006-01-01" @default.
- W2383907719 modified "2023-09-26" @default.
- W2383907719 title "A New User-based Collaborative Filtering Recommendation Algorithm" @default.
- W2383907719 hasPublicationYear "2006" @default.
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