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\textsc{Computer Science}
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\textsc{Seminar}
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\textit{Novelty and Diversity in Search Evaluation}
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Charles Clarke\par
University of Waterloo
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\textbf{Abstract:} Evaluation measures act as objective functions to be optimized by
Web search engines and other information retrieval systems.  Such
objective functions must accurately reflect user requirements,
particularly when tuning systems and learning ranking functions.
Ambiguity in queries and redundancy in retrieved documents represent
two areas where current evaluation measures poorly reflect these
requirements.  In this talk, I will present a framework for evaluation
that systematically rewards novelty and diversity.  This framework
is developed into a specific evaluation measure based on cumulative
gain.  The feasibility of the approach is demonstrated using a test
collection based on the TREC question answering track.


Biography:
Charles Clarke is an Associate Professor in the School of Computer Science
at the University of Waterloo.  His research interests cover a wide
range of topics related to information search and retrieval, including
question answering, XML, program analysis, filesystem search, user
interfaces, and statistical NLP.\vspace{\fill}
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Monday, May 5, 2008, 1:00 pm\par
Mathematics and Science Center: W301
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\textsc{Mathematics and Computer Science}\par
\textsc{Emory University}
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