ABSTRACT
Based on the characteristics of online customers, such as user characteristics, interaction behavior, frequency of visits and business queries, this paper uses big data analysis mining algorithm to conduct exploratory analysis on each business data, and builds a weight division model (Entropy Value Method) to achieve online customer ranking.
- Huang Guoqing, Wang Mingxu, Wang Guoliang. Research on Improved Entropy Method in Effectiveness Evaluation [J]. Computer Engineering and Applications, 2012, 48 (28), 245-248.Google Scholar
- Dai Jiya Application comparison of analytic hierarchy process and entropy method in emergency response capability assessment of disease control agencies [J]. China Health Statistics, 2014, 31(6), 1051-1053Google Scholar
- Sebastian Raschka,Python Machine Learing[M],Packt Publishing, 2015,33-36Google Scholar
- Zhang Lei, Zhang Bing, Li Guangqiang, Research on a combined weighting method in equipment effectiveness evaluation [J]. Journal of Air Force Radar Academy, 2011, 25(4): 280-282.Google Scholar
- Wu Tao; Relevant market definitions in anti-monopoly cases in the Internet industry: American experience and inspiration [J]; electronic IP;2011-05Google Scholar
- Li Huiying;Dong Dudu;Lu Dingliang; The Definition of Related Product Market in Internet Information Service Industry[J]; Electronic Intellectual Property;2012-04Google Scholar
- Qian Chunhui, Niu Jixin;The Pricing Model of Network Information Product Market[J];China Industrial Economy;2003-05Google Scholar
Recommendations
Mining customer knowledge for exploring online group buying behavior
Highlights Online group buying is an effective marketing method. Group buying has become extremely popular. This study proposes a data mining approach for exploring online group buying behavior in Taiwan. This study uses the Apriori algorithm and ...
Mining customer knowledge for direct selling and marketing
Research highlights Direct marketing is an effective marketing method. Direct marketing could provide exclusive products and services for specific consumers. This study analyzes consumer adumbration, lifestyle habits and purchasing behavior using data ...
Mining Customer Shopping Behavior: A Method Encoding Customer Purchase Decision Attitude
Mining customer shopping data is able for business managers to understand and predict customer behavior. However, most practices are focusing on the purchasing goods, i.e. basket analysis. This article collects customer shopping data by observation to ...
Comments