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User Modeling for Efficient Use of Multimedia Files

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Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

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Abstract

It is very common that a user likes to collect many multimedia files of their interests from the web or other sources for his/her daily use, such as in emails, presentations, and technical documents. This paper presents algorithms to learn user models, in particular, user intention models and preference models from the usage of these files. Such usages include downloading, inserting, and sending multimedia files. A user intention model predicts when the user may want to involve some multimedia objects in his currently working environment (e.g., an email) and provides more convenient and accurate help to the user. A user preference model describes the types and classes of the user’s favorite multimedia files and helps an offline crawler to autonomously collect more useful multimedia files for the user. The algorithms have been implemented in our media agents system and shown their effectiveness in user modeling.

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Author information

Authors and Affiliations

  1. Dept. Computer Sci. and Tech., Tsinghua University, Beijing, 100084, PR China

    Fan Lin & Tang Long

  2. Microsoft Research China, 49 Zhichun Road, Beijing, 100080, PR China

    Liu Wenyin, Zheng Chen & Hongjiang Zhang

Authors
  1. Fan Lin
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  2. Liu Wenyin
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  3. Zheng Chen
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  4. Hongjiang Zhang
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  5. Tang Long
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Editor information

Editors and Affiliations

  1. Microsoft Research China, 5/F Beijing Sigma Center 49 Zhichung Road, Haidian District, Beijing, 100080, China

    Heung-Yeung Shum

  2. Institute of Information Science, Academia Sinica, Taiwan

    Mark Liao

  3. Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA

    Shih-Fu Chang

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© 2001 Springer-Verlag Berlin Heidelberg

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Lin, F., Wenyin, L., Chen, Z., Zhang, H., Long, T. (2001). User Modeling for Efficient Use of Multimedia Files. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_24

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  • DOI: https://doi.org/10.1007/3-540-45453-5_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

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