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  Probabilistic information retrieval approach for ranking of database query results

Chaudhuri, S., Das, G., Hristidis, V., & Weikum, G. (2006). Probabilistic information retrieval approach for ranking of database query results. ACM Transactions on Database Systems, 31, 1134-1168.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23BF-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23C0-4
Genre: Journal Article

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Chaudhuri, Surajit, Author
Das, Gautam1, Author           
Hristidis, Vagelis, Author
Weikum, Gerhard2, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: We investigate the problem of ranking the answers to a database query when many tuples are returned. In particular, we present methodologies to tackle the problem for conjunctive and range queries, by adapting and applying principles of probabilistic models from information retrieval for structured data. Our solution is domain independent and leverages data and workload statistics and correlations. We evaluate the quality of our approach with a user survey on a real database. Furthermore, we present and experimentally evaluate algorithms to efficiently retrieve the top ranked results, which demonstrate the feasibility of our ranking system.

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Language(s): eng - English
 Dates: 2007-04-272006
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 314668
Other: Local-ID: C1256DBF005F876D-89A90B60B4C6A2B7C125728800468C46-ChaudhuriDHW06
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Title: ACM Transactions on Database Systems
Source Genre: Journal
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Pages: - Volume / Issue: 31 Sequence Number: - Start / End Page: 1134 - 1168 Identifier: ISSN: 0362-5915