Sciweavers

Share
VLDB
2004
ACM

Probabilistic Ranking of Database Query Results

9 years 8 months ago
Probabilistic Ranking of Database Query Results
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 for structured data. Our proposed solution is domain independent. It leverages data and workload statistics and correlations. 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.
Surajit Chaudhuri, Gautam Das, Vagelis Hristidis,
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where VLDB
Authors Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum
Comments (0)
books