E-commerce Website Recommender System Based on Dissimilarity and Association Rule

By analyzing the current electronic commerce recommendation algorithm analysis, put forward a kind to use dissimilarity clustering and association recommendation algorithm, the algorithm realized web website shopping user data clustering by use of the dissimilarity, and then use the association rule...

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Bibliographic Details
Main Authors: Zhang, LiFeng (Author), Yang, ShuWen (Author), Zhang, MingWang (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-01-01.
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