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• W2136121557 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." @default.
• W2136121557 created "2016-06-24" @default.
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• W2136121557 date "2006-09-01" @default.
• W2136121557 modified "2023-09-23" @default.
• W2136121557 title "Probabilistic information retrieval approach for ranking of database query results" @default.
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• W2136121557 doi "https://doi.org/10.1145/1166074.1166085" @default.
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