Measuring retrieval effectiveness based on user preference of documents
Journal of the American Society for Information Science
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Hierarchical classification of HTML documents with WebClassII
ECIR'03 Proceedings of the 25th European conference on IR research
Hi-index | 0.00 |
The central argument of this paper the induction user profiles by supervised machine learning techniques for Intelligent Information Access. The access must be highly personalized by user profiles, in which representations of the users' interests are maintained. Moreover, users want to retrieve information on the basis of conceptual content, but individual words provide unreliable evidence about the content of documents. A possible solution is the adoption of WordNet as a lexical resource to induce semantic user profiles.