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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Personalizing Queries over Large Data Tables
verfasst von : Nicolas Spyratos, Tsuyoshi Sugibuchi, Jitao Yang
Erschienen in: Advances in Databases and Information Systems
Verlag: Springer Berlin Heidelberg
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We present a formal framework for the processing of preference queries over large data tables, in which user preferences are expressed as comparisons between attribute values (e.g. “I prefer
Red
to
Black
”).The main contributions of the paper are as follows: (a) a formal framework for the statement of the problem, under no restrictions whatsoever on the preferences expressed by the user, (b) a rewriting algorithm that takes as input a preference query and returns a sequence of ordinary sub-queries whose evaluations construct the answer to the preference query, (c) a general definition of “skyline” and (d) a user-friendly interface supporting preference query formulation and incremental query evaluation with on-the-fly modification.