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Efficient Skyline Querying with Variable User Preferences on Nominal Attributes

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arxiv 0710.2604 v1 pith:FCOIVQKP submitted 2007-10-13 cs.DB

Raymond Chi-Wing Wong , Ada Wai-chee Fu , Jian Pei , Yip Sing Ho , Tai Wong , Yubao Liu This is my paper · ORCID
classification cs.DB
keywords attributesmethodnominalpreferencesskylineuseradaptivealgorithms
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Current skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In order to generate online response for any such preference issued by a user, we propose two methods of different characteristics. The first one is a semi-materialization method and the second is an adaptive SFS method. Finally, we conduct experiments to show the efficiency of our proposed algorithms.

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