| Authors |
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| Publication date |
2008
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| Book title |
The seventeenth Text REtrieval Conference (TREC 2008) notebook
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| Event |
17th Text REtrieval Conference (TREC 2008), Gaithersburg, MD, USA
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| Pages (from-to) |
1-5
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| Publisher |
National Institute of Standards and Technology
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| Organisations |
-
Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
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| Abstract |
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 Dirichlet 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 number of topics topical feedback is applied, which turns out to be mainly beneficial for early precision.
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| Document type |
Conference contribution
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| Language |
English
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| Published at |
http://staff.science.uva.nl/~kamps/publications/2008/kapt:exp08.pdf
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