<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8441</REFNUM><AUTHORS><AUTHOR>Masegosa,A.R.</AUTHOR><AUTHOR>Joho,H.</AUTHOR><AUTHOR>Jose,J.M.</AUTHOR></AUTHORS><YEAR>2007</YEAR><TITLE>Evaluating query-independent object features for relevancy prediction</TITLE><PLACE_PUBLISHED>Advances in Information Retrieval, 29th European Conference on Information Retrieval</PLACE_PUBLISHED><PUBLISHER>LNCS, Springer</PUBLISHER><PAGES>283-294</PAGES><LABEL>Masegosa:2007:8441</LABEL><ABSTRACT>This paper presents a series of experiments investigating the effectiveness of query-independent features extracted from retrieved objects to predict relevancy. Features were grouped into a set of conceptual categories, and individually evaluated based on click-through data collected in a laboratory-setting user study. The results showed that while textual and visual features were useful for relevancy prediction in a topic-independent condition, a range of features can be effective when topic knowledge was available. We also re-visited the original study from the perspective of significant features identified by our experiments.</ABSTRACT><URL>http://www.dcs.gla.ac.uk/~hideo/pub/ecir07/ecir07.pdf</URL></RECORD></RECORDS></XML>