Effective retrieval of structured documents
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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Effective keyword search in relational databases
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Spark: top-k keyword query in relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
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Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Introduction to Information Retrieval
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Learning to rank results in relational keyword search
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Keyword search in structured data is an important problem spanning both the database and IR communities. As social networking, microblogging, and other data-driven websites store increasing amounts of information in relational databases, users require an effective means for accessing that information. We present structured cover density ranking (a generalization of an unstructured ranking function) as an effective means to order search results from keyword search systems that target structured data. Structured cover density ranking was designed to adhere to users' expectations regarding the ranking of search results---namely, results containing all query keywords appear before results containing a subset of the search terms. Our evaluation shows that our ranking function provides better results than other state-of-the-art ranking functions across 3 different datasets and 150 distinct information needs.