Learning links between a user’s calendar and information needs

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval
Subtitle of host publicationProceedings of ECIR 2006
EditorsM. Lalmas, A. MacFarlane, S. Rüger, A. Tombros, T. Tsikrika, A. Yavlinsky
ISBN (Electronic)978-3-540-33348-7
ISBN (Print)978-3-540-33347-0
Publication statusPublished - 2006
MoE publication typeA4 Article in a conference publication
Event28th European Conference on IR Research, ECIR 2006 - London, United Kingdom
Duration: 10 Apr 200612 Apr 2006

Publication series

SeriesLecture Notes in Computer Science


Conference28th European Conference on IR Research, ECIR 2006
Abbreviated titleECIR 2006
CountryUnited Kingdom


  • SVM
  • support vector machines
  • context-based information retrieval
  • user information needs

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