Customer Purchase Prediction Based on Buying Behavior and Comment Behavior

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 18 ›› Issue (4): 18-25.

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Customer Purchase Prediction Based on Buying Behavior and Comment Behavior

1 School of Economics and Management, Beijing University of Posts and Telecommunications,
Beijing 100876, China; 2 Key Laboratory of Trustworthy Distributed Computing and Service
(Beijing University of Posts and Telecommunications), Ministry of Education, Beijing 100876, China;
3 Shanghai University of International Business and Economics, Shanghai 201620, China

Received:2016-04-21 Online:2016-08-31

Abstract

Abstract:

In recent years, with the development of online-shopping, “Dianping” as the representative of the review sites is booming The forecast for customers’ future buying behavior in non-contractual transaction setting is the key research of customer lifetime value (CLV) evaluation and the prediction of customer loss The data of “Dianping com” is used, and then by analyzing the Dianping users’ behavioral characteristics and using the Pareto/NBD model in the non-contractual setting, the buying behavior of users is predicted Meanwhile, through introducing comments and purchase amounts as covariates, the effect of the result has been improved It reveals that users’ reviews can help predict users’ purchase behavior

Key words: non-contractual setting, customer behavior prediction, Pareto/NBD model, covariate

CLC Number:

LI Mei-qi1,2，QI Jia-yin2,3. Customer Purchase Prediction Based on Buying Behavior and Comment Behavior[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 18(4): 18-25.

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Customer Purchase Prediction Based on Buying Behavior and Comment Behavior

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