Allied to the extensive use of online shopping, product recommendation on websites is vitally important for E-commerce. Consequently, collaborative filtering and content-based filtering have been widely used in recommendation systems on E-commerce ...
Personalized recommender systems aim to push only the relevant items and information directly to the users without requiring them to browse through millions of web resources. The challenge of these systems is to achieve a high user acceptance rate on ...
In social tagging system, a user annotates a tag to an item. The tagging information is utilized in recommendation process. In this paper, we propose a hybrid item recommendation method to mitigate limitations of existing approaches and propose a ...
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