Combining fuzzy information from multiple systems (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
On saying “Enough already!” in SQL
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Preference structures and their numerical representations
Theoretical Computer Science
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PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
PREFER: a system for the efficient execution of multi-parametric ranked queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Searching in metric spaces with user-defined and approximate distances
ACM Transactions on Database Systems (TODS)
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EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Robust Cardinality and Cost Estimation for Skyline Operator
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Flexible integration of multimedia sub-queries with qualitative preferences
Multimedia Tools and Applications
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A methodology for preference-based personalization of contextual data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
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Locating the “right” piece of information among a wide range of available alternatives is not an easy task, as everyone has experienced at least once during his/her lifetime. In this paper we look at some recent issues arising when a database query is extended so as to include user preferences, which ultimately determine whether one alternative is reputed by the user better than another one. In particular, we focus on the case of qualitative preference queries, that strictly include well-known skyline queries, and describe how one can take advantage of the sorting machinery of standard database engines to speed-up evaluation both in centralized and distributed scenarios.