Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Optimization of relational preference queries
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Database querying under changing preferences
Annals of Mathematics and Artificial Intelligence
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Discovering relative importance of skyline attributes
Proceedings of the VLDB Endowment
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
A context-aware preference model for database querying in an ambient intelligent environment
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Towards Preference-aware Relational Databases
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Complex preference queries supporting spatial applications for user groups
Proceedings of the VLDB Endowment
An algebraic calculus of database preferences
MPC'12 Proceedings of the 11th international conference on Mathematics of Program Construction
An algebra of layered complex preferences
RAMiCS'12 Proceedings of the 13th international conference on Relational and Algebraic Methods in Computer Science
Flexible and extensible preference evaluation in database systems
ACM Transactions on Database Systems (TODS)
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This paper presents a modular approach to context-aware preference query composition based on a novel kind of preference generator. We introduce a constructive model to generate preference terms within the Preference SQL framework. Given several sources for preference related knowledge like explicit user input, information extracted from a preference repository, domain-specific application knowledge, location-based sensor data, or web service feeds for weather data our preference generator can compile a user search request into one rather complex context-aware Preference SQL query. Choosing as use case a commercial e-business platform for outdoor activities, we demonstrate how such queries despite the power and complexity of this approach can be evaluated efficiently on a practical data set.