Abstract
Personal information needs depend on long-term interests and on current and future situations (contexts): people are mainly interested in weather forecasts for future destinations, and in toy advertisements when a child’s birthday approaches. As computer capabilities for being aware of users’ contexts grow, the users’ willingness to set manually rules for context-based information retrieval will decrease. Thus computers must learn to associate user contexts with information needs in order to collect and present information proactively. This work presents experiments with training a SVM (Support Vector Machines) classifier to learn user information needs from calendar information.
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© 2006 Springer-Verlag Berlin Heidelberg
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Vildjiounaite, E., Kyllönen, V. (2006). Learning Links Between a User’s Calendar and Information Needs. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_64
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DOI: https://doi.org/10.1007/11735106_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33347-0
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