Abstract
This research focuses on learning a semantic representation of the user’s information needs from a database of relevant documents and queries the in the presence of hierarchically structured semantic classes and lexical databases. The resulting user model will be enhanced by regression methods applied to capturing the syntactic structure of the documents.
This research has been inspired by the members of my Ph.D. committee: Dr. S. Lytinen (DePaul University), Dr. G. Knafl (DePaul University), Dr. B. Mobasher (DePaul University).
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© 1999 Springer Science+Business Media New York
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Brzezinski, J. (1999). User Models and Regression Methods in Information Retrieval From the Internet. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_38
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DOI: https://doi.org/10.1007/978-3-7091-2490-1_38
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83151-9
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