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Conference Paper

Evaluating the Potential of Explicit Phrases for Retrieval Quality

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44188

Broschart,  Andreas
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44119

Berberich,  Klaus
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45380

Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Broschart, A., Berberich, K., & Schenkel, R. (2010). Evaluating the Potential of Explicit Phrases for Retrieval Quality. In C. Gurrin, Y. He, G. Kazai, U. Kruschwitz, S. Little, T. Roelleke, et al. (Eds.), Advances in Information Retrieval (pp. 623-626). Berlin: Springer. doi:10.1007/978-3-642-12275-0_62.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-14E8-3
Abstract
This paper evaluates the potential impact of explicit phrases on retrieval quality through a case study with the TREC Terabyte benchmark. It compares the performance of user- and system-identified phrases with a standard score and a proximity-aware score, and shows that an optimal choice of phrases, including term permutations, can significantly improve query performance.