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Discovering User Interests by Document Classification

  • Loc Nguyen
Part of the Studies in Computational Intelligence book series (SCI, volume 288)

Abstract

User interest is one of personal traits attracting researchers’ attention in user modeling and user profiling. User interest competes with user knowledge to become the most important characteristics in user model. Adaptive systems need to know user interests so that provide adaptation to user. For example, adaptive learning systems tailor learning materials (lesson, example, exercise, test...) to user interests. I propose a new approach for discovering user interest based on document classification. The basic idea is to consider user interests as classes of documents. The process of classifying documents is also the process of discovering user interests.

Keywords

Support Vector Machine Classification Rule Hide Unit Term Frequency Output Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Loc Nguyen
    • 1
  1. 1.University of ScienceHo Chi Minh cityVietnam

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