The impact of positive, negative and topical relevance feedback

Rianne Kaptein, Jaap Kamps, Djoerd Hiemstra

Research output: Contribution to conferencePaper

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This document contains a description of experiments for the 2008 Relevance Feedback track. We experiment 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 smoothing 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 feedback set. On a small number of topics topical feedback is applied, which turns out to be mainly beneficial for early precision.
Original languageUndefined
Number of pages7
Publication statusPublished - Nov 2008
EventSeventeenth Text REtrieval Conference, TREC-17 2008 - Gaithersburg, United States
Duration: 18 Nov 200821 Nov 2008
Conference number: 17


ConferenceSeventeenth Text REtrieval Conference, TREC-17 2008
Abbreviated titleTREC
Country/TerritoryUnited States


  • EWI-23223
  • IR-85286

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