User Models and Regression Methods in Information Retrieval From the Internet

  • Jacek Brzezinski
Conference paper
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 407)


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.


Information Retrieval User Model Relevant Document Semantic Representation Syntactic Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Jacek Brzezinski
    • 1
  1. 1.Institute for Applied Artificial Intelligence School of Computer ScienceTelecommunications and Information SystemsDePaul UniversityUSA

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