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In order to retain customers, hairdressers usually persuade customers to be their members by offering membership card. This paper studies how to set up their recommendation system in the hairdressers. According to the membership information and consumer behavior, the hairdresser provides personalized recommendation to different members and lets customers experience personalized choices. A recommendation algorithm based on customer ratings and a customer classification method based on Logistic Regression Model are discussed in this paper. The former is used to recommend hair style and color to a customer. The latter is used to determine whether to recommend some maintenance programs to a customer or not.

KEYWORDS

Recommender System, The Nearest Neighbor Recommendation, Classify, Logistic Regression

Cite this paper

Liang, Z. and Wang, F. 2016 Research on the Personalized Recommendation Algorithm for Hairdressers. Open Journal of Modelling and Simulation, 4, 102-108. doi: 10.4236-ojmsi.2016.43009.





Autor: Zhixin Liang, Fengying Wang

Fuente: http://www.scirp.org/



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