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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Main Authors: | Zhang, LiFeng (Author), Yang, ShuWen (Author), Zhang, MingWang (Author) |
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2014-01-01.
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Subjects: | |
Online Access: | Get fulltext |
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