Advertisement
Published in:
2005 | OriginalPaper | Chapter
Exploiting Lexical Knowledge in Learning User Profiles for Intelligent Information Access to Digital Collections
Authors : G. Semeraro, P. Lops, M. Degemmis, C. Niederée, A. Stewart
Published in: Digital Libraries: Implementing Strategies and Sharing Experiences
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Algorithms designed to support users in retrieving relevant information base their relevance computations on
user profiles
, in which representations of the users interests are maintained. This paper focuses on the use of
supervised machine learning
techniques to induce user profiles for Intelligent Information Access. The access must be
personalized
by profiles allowing users to retrieve information on the basis of
conceptual content
. To address this issue, we propose a method to learn sense-based user profiles based on WordNet, a lexical database.