Evaluating the Potential of Explicit Phrases for Retrieval Quality

Broschart, Andreas; Berberich, Klaus; Schenkel, Ralf

doi:10.1007/978-3-642-12275-0_62

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Evaluating the Potential of Explicit Phrases for Retrieval Quality

MPS-Authors

/persons/resource/persons44188

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

/persons/resource/persons44119

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

/persons/resource/persons45380

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

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

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: https://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.