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An Improved Usage-Based Ranking

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Advances in Web-Age Information Management (WAIM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2419))

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Abstract

A good ranking is critical to gain a positive searching experience. With usage data collected from past searching activities, it could be improved from current approaches which are largely based on text or link information. In this paper, we proposed a usage-based ranking algorithm. Basically, it calculates the rank score on time duration considering the propagated effect, which is an improvement on the simple selection frequency determined method. Besides, it also has some heuristics to further improve the accuracy of top-positioned results.

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Author information

Authors and Affiliations

  1. School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore, 119260

    Chen Ding & Chi-Hung Chi

  2. The Graduate School of Chinese Academy of Sciences, Bei**g, P.R. China, 100039

    Chi-Hung Chi & Tiejian Luo

Authors
  1. Chen Ding
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  2. Chi-Hung Chi
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  3. Tiejian Luo
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Editor information

Editors and Affiliations

  1. Information School, Renmin University of China, Bei**g, 100872, China

    **aofeng Meng

  2. Department of Computer Science, University of California, Santa Barbara, CA, 93106-5110, USA

    Jianwen Su  & Yujun Wang  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Ding, C., Chi, CH., Luo, T. (2002). An Improved Usage-Based Ranking. In: Meng, X., Su, J., Wang, Y. (eds) Advances in Web-Age Information Management. WAIM 2002. Lecture Notes in Computer Science, vol 2419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45703-8_32

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  • DOI: https://doi.org/10.1007/3-540-45703-8_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44045-1

  • Online ISBN: 978-3-540-45703-9

  • eBook Packages: Springer Book Archive

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