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          Institute: MPI für Informatik     Collection: Databases and Information Systems Group     Display Documents



ID: 520392.0, MPI für Informatik / Databases and Information Systems Group
Index Tuning for Efficient Proximity-Enhanced Query Processing
Authors:Broschart, Andreas; Schenkel, Ralf
Language:English
Publisher:IR Publications
Place of Publication:Amsterdam, The Netherlands
Date of Publication (YYYY-MM-DD):2009
Title of Proceedings:Preproceedings of the 2009 INEX Workshop
Start Page:188
End Page:191
Place of Conference/Meeting:Woodlands of Marburg, Australia
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2009-12-06
End Date of Conference/Meeting 
 (YYYY-MM-DD):
2009-12-10
Audience:Experts Only
Intended Educational Use:No
Abstract / Description: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. To allow for comparison as to retrieval quality with
non-pruned index structures, we also depict our results from the Adhoc Track.
Last Change of the Resource (YYYY-MM-DD):2009-12-18
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Gerhard Weikum
Affiliations:MPI für Informatik/Databases and Information Systems Group
Identifiers:LOCALID:C1256DBF005F876D-00E14C13EE29FB08C1257690003D5BCC-...
URL:http://www.inex.otago.ac.nz/data/proceedings/INEX2...
ISBN:978-90-814485-2-9
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