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Flexible and Extensible Preference Evaluation in Database Systems by Justin J. Levandoski; Ahmed Eldawy; Mohamed F. Mokbel; Mohamed E. Khalefa is a Computer Science article available to read on EtoBox.

What is Flexible and Extensible Preference Evaluation in Database Systems about?

Personalized database systems give users answers tailored to their personal preferences. While numerous preference evaluation methods for databases have been proposed (e.g., skyline, top-k, k-dominance, k-frequency), the implementation of these methods at the __core__ of a database system is a double-edged sword. Core implementation provides efficient query processing for arbitrary database queries, however, this approach is not practical since __each__ existing (and future) preference method requires implementation within the database engine. To solve this problem, this article introduces FlexPref, a framework for extensible preference evaluation in database systems. FlexPref, implemented in the query processor, aims to support a wide array of preference evaluation methods in a single extensible code base. Integration with FlexPref is simple, involving the registration of only __three__ functions that capture the essence of the preference method. Once integrated, the preference method “lives” at the core of the database, enabling the efficient execution of preference queries involving common database operations. This article also provides a query optimization framework for FlexPre

Who reads Flexible and Extensible Preference Evaluation in Database Systems?

Author

Justin J. Levandoski; Ahmed Eldawy; Mohamed F. Mokbel; Mohamed E. Khalefa

Publisher

ACM

Published

2013

Language

EN

Field

Computer Science (Physical Sciences)