A personalized recommender system for the cosmetic business
作者： Yi-Fan Wang , Yu-Liang Chuang , Mei-Hua Hsu , Huan-Chao Keh
DOI: 10.1016/J.ESWA.2003.10.001
关键词:
摘要: Abstract In order to have an effective command of the relationship between customers and products, we constructed a personalized recommender system which incorporates content-based, collaborative filtering, data mining techniques. We also introduced new scoring approach determine customers' interest scores on products. To demonstrate how our works, used it analyze real cosmetic generate score table for sellers refer to. After tracking its performance 1 year, obtained quite impressive results.
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