A personalized recommender system for the cosmetic business

  title={A personalized recommender system for the cosmetic business},
  author={Yi-Fan Wang and Yu-Liang Chuang and Mei-Hua Hsu and Keh Huan-Chao},
  journal={Expert Syst. Appl.},
In order to have an effective command of the relationship between customers and products, we have constructed a personalized recommender system which incorporates content-based, collaborative filtering, and data mining techniques. We have also introduced a new scoring approach to determine customers’ interest scores on products. To demonstrate how our system works, we used it to analyze real cosmetic data and generate a recommender score table for sellers to refer to. After tracking its… CONTINUE READING


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