YANG Jing, GAO Lin-qi. Dynamic Mining Algorithm for Customer Preference[J]. INFORMATION AND CONTROL, 2007, 36(1): 125-128.
Citation: YANG Jing, GAO Lin-qi. Dynamic Mining Algorithm for Customer Preference[J]. INFORMATION AND CONTROL, 2007, 36(1): 125-128.

Dynamic Mining Algorithm for Customer Preference

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  • Received Date: October 09, 2005
  • Published Date: February 19, 2007
  • According to the characteristics of customer preference that changes with time,customer preferences are mined dynamically with such technologies as clustering and association rules.Purchase sequences of customers are traced,and Top-N product recommendations are generated to improve the recommending quality of the recommendation system.Then collaborative filtering algorithm is chosen as a contrast and the test data set provided by Movie Lens web site is adopted.Analysis on recall rate and precision demonstrates that the presented dynamic mining algorithm is of higher recommendation accuracy and comprehensiveness.
  • [1]
    余力,刘鲁,李雪峰.用户多兴趣下的个性化推荐算法研究[J].计算机集成制造系统,2004,10(12):1610~1615.
    [2]
    李宏东,姚天翔.模式分类[M].北京:机械工业出版社,2003.
    [3]
    Cho Y H,Kim J K.Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce[J].Expert Systems with Applications,2004,26 (2):234~246.
    [4]
    Chiang D A,Wang Y F,Lee S L,et al.Goal-oriented sequential pattern for network banking churn analysis[J].Expert Systems with Applications,2003,25 (3):293~302.
    [5]
    Cho Y H,Kim J K,Kim S H.A personalized recommender system based on web usage mining and decision tree induction[J].Expert Systems with Applications,2002,23 (3):329~342.
    [6]
    Lin W Y.Efficient adaptive-support association rule mining for recommender systems[J].Data Mining and Knowledge Discovery,2002,6(1):83~105.
    [7]
    朱明.数据挖掘[M].合肥:中国科学技术大学出版社,2002.
    [8]
    Basu C,Hirsh H,Cohen W.Recommendation as classification:Using social and content-based information in recommendation[A].Proceedings of the Fifteenth National Conference on Artificial Intelligence[C].Menlo Park,CA,USA:AAAI Press,1998.714~720.

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