Probabilistic ranking of database query results

  • Chaudhuri S
  • Das G
  • Hristidis V
  • 42

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Abstract

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.

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Authors

  • Surajit Chaudhuri

  • G Das

  • V Hristidis

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