A multi-interests model of recommendation system based on customer life cycle

Yue Wu*, Xiang Chen

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012
    Pages22-25
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012 - Zhangjiajie, Hunan, China
    Duration: 12 Jan 201214 Jan 2012

    Publication series

    NameProceedings - 2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012

    Conference

    Conference2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012
    Country/TerritoryChina
    CityZhangjiajie, Hunan
    Period12/01/1214/01/12

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