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



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ID: 231391.0, MPI für Informatik / Databases and Information Systems Group
Probabilistic Ranking of Database Query Results
Authors:Chaudhuri, Surajit; Das, Gautam; Hristidis, Vagelis; Weikum, Gerhard
Editors:Nascimento, Mario A.; Özsu, M. Tamer; Kossmann, Donald; Miller, Renee J.; Blakeley, Jose A.; Schiefer, K. Bernhard
Language:English
Publisher:Morgan Kaufmann
Place of Publication:St. Louis, USA
Date of Publication (YYYY-MM-DD):2004
Title of Proceedings:Proceedings 2004 VLDB Conference : The 30th International Conference on Very Large Databases (VLDB)
Start Page:888
End Page:899
Place of Conference/Meeting:Toronto, Canada
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2004-08-31
Review Status:not specified
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:We investigate the problem of ranking answers to a database query when many
tuples are returned. We adapt and apply principles of probabilistic models from
Information Retrieval structured data. Our proposed solution is domain
independent. It leverages data and workload statistics and corelations. Our
ranking functions can be further customized for different applications. We
present results of preliminary experiments which demonstrate the efficiency as
well as the quality of our ranking system.
Last Change of the Resource (YYYY-MM-DD):2005-06-15
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Gerhard Weikum
Affiliations:MPI für Informatik/Databases and Information Systems Group
Identifiers:ISBN:0-12-088469-0
LOCALID:C1256DBF005F876D-6A49EE9F04259CF0C1256F80005257A6-...
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