Peter Lubell-Doughtie of Columbia University and Katja Hofmann of the Intelligent Systems Lab Amsterdam (ISLA) at the University of Amsterdam, presented a paper entitled Learning to Rank from Relevance Feedback for e-Discovery, at ECIR 2012: The European Conference on Information Retrieval, held 1-5 April 2012 in Barcelona, Catalonia, Spain. Here is the abstract:
In recall-oriented search tasks retrieval systems are privy to a greater amount of user feedback. In this paper we present a novel method of combining relevance feedback with learning to rank. Our experiments use data from the 2010 TREC Legal Track to demonstrate that learning to rank can tune relevance feedback to improve result rankings for specific queries, even with limited amounts of user feedback.