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.
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Nguyen, L. (2010). Discovering User Interests by Document Classification. In: Ting, IH., Wu, HJ., Ho, TH. (eds) Mining and Analyzing Social Networks. Studies in Computational Intelligence, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13422-7_9
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DOI: https://doi.org/10.1007/978-3-642-13422-7_9
Publisher Name: Springer, Berlin, Heidelberg
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