PBESProceedings of Business and Economic Studies2209-26412209-265XBio-Byword Scientific Publishing Pty. Ltd.10.26689/pbes.v1i4.678ArticleAnalysis on Customer Behavior and interest in mining on WeChat Businesshttps://artdesignp.com/journal/PBES/1/4/10.26689/pbes.v1i4.678ZhangXi2018142018-08-31Abstract:In recent years, with the increasing number of Wechat users, a new shopping mode has emerged in the social platform of Wechat, which is what we call Wechat business. It can share goods and publicly display goods information to social friends. Since Wechat's origin is social rather than marketing tools, Wechat business can find user groups and interconnected big data more than traditional e-commerce. However, with the advent of the era of big data, Wechat business has generated huge customer behavior data, and with the strong demand of micro-business dealers to convert massive amounts of data into useful information, how to dig out users' shopping in huge behavioral data. Interest, and thus the personalized recommendation service in the micro-business model is particularly urgent.

Chuangxin Ou, Chunnian Liu, Jiajing Huang, and Ning Zhong. On Data Mining for Direct Marketing [J]. RSFDGr C 2011,LNAI 2639,2011:491-498.

Jin-Kui Zhang, Analysis of Customer Consumption Behavior[D]，Wuhan University of Technology，2014.

Jiao Li, Research on Customer Purchasing Behavior Analysis System Based on Data Mining [J], Financial Times, 2015(2); 320-321.

Yu Zheng, Personalized Information Promotion Service Based on User Interest Mining [J], Information Research, 2016(10); 33-36.

Fen Wu, Modeling of Postal Online Product Experience under the Environment of O2O[j], Management Observer, 2017(32)55-58.

Wang Lin, Research on Potential Customer Mining of E-Commerce Based on Customer Behavior Analysis [D], Henan University of Technology, 2015.

Wen-Chin Chen, Chiun-Chieh Hsu, Jing-Ning Hsu. Optimal selection of potential customer range through the union sequential pattern by using a response model [J]. Expert Systems with Applications, 2011:7451–7461.