Relaxing join and selection queries
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Probabilistic information retrieval approach for ranking of database query results
ACM Transactions on Database Systems (TODS)
\delta-Tolerance Closed Frequent Itemsets
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Measure-driven keyword-query expansion
Proceedings of the VLDB Endowment
FACeTOR: cost-driven exploration of faceted query results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
ReDRIVE: result-driven database exploration through recommendations
Proceedings of the 20th ACM international conference on Information and knowledge management
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To assist users in database exploration, we present the YmalDB system, a database system enhanced with a recommendation functionality. Along with the results of each user query, YmalDB computes and presents to the users additional results, called Ymal (i.e., "You May Also Like") results, that are highly related with the results of their original query. Such results are computed using the most interesting sets of attribute values, called faSets, that appear either in the results of the original query or in the results of an appropriately expanded one. The interestingness of a faSet is based on its frequency both in the query result and in the database.