Evaluating Query-Independent Object Features for Relevancy Prediction

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.

• Type: Conference
• Year: 2007
• Where: ECIR
• Authors: Andrés R. Masegosa, Hideo Joho, Joemon M. Jose
• Keywords: ECIR 2007, Information Technology, Laboratory-setting User Study, Query-independent Features, Retrieved Objects