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A New Integrated Personalized Recommendation Algorithm

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

Traditional information retrieval technologies can satisfy users’ needs to some extent. But they cannot satisfy any query from different backgrounds, with different intentions and at different time because of their all-purpose characteristics. An integrated searching algorithm by combining filtering with collaborative technologies is presented in this paper. The user model is represented as the probability distribution over the domain classification model. A method of computing similarity and a method of revising user model are provided. Compared with the vector space model, the probability model is more effective on describing users’ interests. Furthermore, collaborative-based technologies are used, and as a result the scalability of the new algorithm is highly enhanced.

This work is supported by the National High Technology Research and Development (2001AA113182).

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References

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Author information

Authors and Affiliations

  1. School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China

    Hongfang Zhou & Boqin Feng

  2. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, Shaanxi, China

    Hongfang Zhou, Lintao Lv & Zhurong Wang

Authors
  1. Hongfang Zhou
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  2. Boqin Feng
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  3. Lintao Lv
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  4. Zhurong Wang
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

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

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yuping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security (Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhou, H., Feng, B., Lv, L., Wang, Z. (2005). A New Integrated Personalized Recommendation Algorithm. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_110

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  • DOI: https://doi.org/10.1007/11596448_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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