SIGIR WORKSHOP REPORT Enriching Information Retrieval Paul N. Bennett Microsoft Research paul.n.bennett@microsoft.com Thorsten Joachims Cornell University tj@cs.cornell.edu Khalid El-Arini Carnegie Mellon University kbe@cs.cmu.edu Krysta M. Svore Microsoft Research ksvore@microsoft.com Introduction Most information retrieval systems and tasks are now embedded in a rich context. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user s geospatial, social, and historical context. We conjecture that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata. The goal of the Enriching Information Retrieval workshop at SIGIR 2011 was to explore how new and emerging sources of contextual metadata can be used for improving information retrieval, including ranking, personalization, diversi cation, and faceted search. In particular, we focused the workshop on three themes: ¢ The identi cation of novel types and sources of contextual metadata (e.g., new ontologies, usage patterns, locality
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Enriching information retrieval
Bennett, Paul N.; El-Arini, Khalid; Joachims, Thorsten; Svore, Krysta M.
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, Volume 45 (2)
Association for Computing Machinery – Jan 9, 2012
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