@inproceedings{7c8bb34c1f58430bb5a5a082e4b4e7e0,
title = "Learning links between a user{\textquoteright}s calendar and information needs",
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{\textquoteright}s birthday approaches. As computer capabilities for being aware of users{\textquoteright} contexts grow, the users{\textquoteright} 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.",
keywords = "SVM, support vector machines, context-based information retrieval, user information needs",
author = "Elena Vildjiounaite and Vesa Kyll{\"o}nen",
year = "2006",
doi = "10.1007/11735106_64",
language = "English",
isbn = "978-3-540-33347-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "557--560",
editor = "M. Lalmas and A. MacFarlane and S. R{\"u}ger and A. Tombros and T. Tsikrika and A. Yavlinsky",
booktitle = "Advances in Information Retrieval",
address = "Germany",
note = "28th European Conference on IR Research, ECIR 2006, ECIR 2006 ; Conference date: 10-04-2006 Through 12-04-2006",
}