Abstract
To improve the drawback of collaborative-based recommendation algorithm and content-based recommendation algorithm in e-commerce, a new algorithm is proposed, which is integrated the collaborative-based recommendation and content-based recommendation algorithm. In e-commerce system, user information is divided into field information and atomic information according to the two classifications. First, collaborative-based recommendation algorithm is adopted for field information, and then content-based recommendation algorithm is used to atomic information. Theoretical analysis and simulations prove that the improved recommendation algorithm outperforms the traditional algorithms.
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