The Impact of Positive, Negative and Topical Relevance Feedback
Rianne Kaptein, Jaap Kamps, Djoerd Hiemstra · UvA-DARE (University of Amsterdam) · 2008
Abstract This document contains a description of exper-iments for the 2008 Relevance Feedback track. We experi-ment with different amounts of feedback, including negative relevance feedback. Feedback is implemented using massive weighted query expansion. Parsimonious query expansion using only relevant documents and Jelinek-Mercer smooth-ing performs best on this relevance feedback track dataset. Additional blind feedback gives better results, except when the blind feedback set is of the same size as the explicit feed-back set. On a small number of topics topical feedback is applied, which turns out to be mainly beneficial for early precision. 1