Abstract
Scoring models that make use of proximity information usually improve result quality in text retrieval. Considering that index structures carrying proximity information can grow huge in size if they are not pruned, it is helpful to tune indexes towards space requirements and retrieval quality. This paper elaborates on our approach used for INEX 2009 to tune index structures for different choices of result size k. Our best tuned index structures provide the best CPU times for type A queries among the Efficiency Track participants, still providing at least BM25 retrieval quality. Due to the number of query terms, Type B queries cannot be processed equally performant. To allow for comparison as to retrieval quality with non-pruned index structures, we also depict our results from the Adhoc Track.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Broschart, A., Schenkel, R., Theobald, M.: Experiments with proximity-aware scoring for xml retrieval at inex 2008. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 29–32. Springer, Heidelberg (2009)
Büttcher, S., Clarke, C.L.A., Lushman, B.: Term proximity scoring for ad-hoc retrieval on very large text collections. In: SIGIR, pp. 621–622 (2006)
Schenkel, R., Broschart, A., won Hwang, S., Theobald, M., Weikum, G.: Efficient text proximity search. In: Ziviani, N., Baeza-Yates, R.A. (eds.) SPIRE 2007. LNCS, vol. 4726, pp. 287–299. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Broschart, A., Schenkel, R. (2010). Index Tuning for Efficient Proximity-Enhanced Query Processing. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-14556-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14555-1
Online ISBN: 978-3-642-14556-8
eBook Packages: Computer ScienceComputer Science (R0)