We present a user interface, the OntoRefiner1 system, for helping the user to navigate numerous retrieved documents after a search querying a semantic portal which integrates a ver...
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
: We describe our participation in the TREC 2004 Web and Terabyte tracks. For the web track, we employ mixture language models based on document full-text, incoming anchortext, and...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
Authors are looking within their research grant new original web local search algorithm respecting specifics of Czech national environment. We would like to initiate further debate...