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A Model for Personalized Web-Scale Case Base Maintenance

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Book cover Active Media Technology (AMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5820))

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Abstract

The growing use of case-based reasoning (CBR) systems on the Web has brought with it increased awareness of the Web-scale case base maintenance (CBM). While most existing CBM policies and approaches, which were designed for smaller case bases with sizes ranges from thousands to millions of cases, are not suitable for Web-scale distributed case collection. In this paper, we propose a novel CBM model for personalized Web-scale CBM, which addresses the needs of the Web-based CBR systems. The proposed CBM model is constructed based on chunk activation of ACT-R theory and rule-based reasoning. In addition, a basic activation value computation method is given to rank the cases and an algorithm is proposed to select top-N active cases. Experiments on several real-world datasets such as the MovieLens dataset show the effectiveness of our model.

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Author information

Authors and Affiliations

  1. College of Computer and Software, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, China

    Jingyu Sun & Xueli Yu

  2. International WIC Institute, Beijing University of Technology, Beijing, 100022, China

    Jingyu Sun & Ning Zhong

  3. Dept. of Computer Science and Technology, Tongji University, Shanghai, 200092, China

    Ruizhi Wang

  4. Dept. of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi, 371-0816, Japan

    Ning Zhong

Authors
  1. Jingyu Sun
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  2. Xueli Yu
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  3. Ruizhi Wang
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  4. Ning Zhong
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong,  

    Jiming Liu

  2. Department of Energy Systems Engineering Okayama University, 3-1-1 Tsushima-naka, Okayama, Japan

    Jinglong Wu

  3. Department of Computer Science, University of Regina, Regina, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

  4. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan

    Toyoaki Nishida

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© 2009 Springer-Verlag Berlin Heidelberg

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Sun, J., Yu, X., Wang, R., Zhong, N. (2009). A Model for Personalized Web-Scale Case Base Maintenance. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_46

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  • DOI: https://doi.org/10.1007/978-3-642-04875-3_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04874-6

  • Online ISBN: 978-3-642-04875-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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