A Multi-interests Model of Recommendation System Based on Customer Life Cycle

Author

Yue, Wu ; Xiang, Chen

Author_Institution

Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China

fYear

2012

fDate

12-14 Jan. 2012

Firstpage

22

Lastpage

25

Abstract

Recommendation System is one of the most important research topics in E-commerce, and multiple recommendation methods have been developed. However, most traditional ways didn´t consider the variability and diversity of user interests. To solve this problem, this paper introduces the Customer Life Cycle theory of Customer Relation Management to analyze changes of user interests. Further, we define 2 measurement indexes, Interest Depth and Interest Span, and propose a multi-interests model of Recommendation System based on Customer Life Cycle. Experimental results show that our model is able to track changes of user multiinterests and help recommendations.

Keywords

customer relationship management; electronic commerce; recommender systems; customer life cycle; customer relation management; e-commerce; interest depth; interest span; measurement indexes; multi interests model; recommendation system; user interests; Clustering algorithms; Collaboration; Correlation; Degradation; Filtering; Internet; Psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-1-4673-0470-2

Type

conf

DOI

10.1109/ICICTA.2012.13

Filename

6150227