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- W36288487 abstract "So-called skyline queries have received considerable attention in the field of databases in recent years. Roughly speaking, the skyline of a given set of objects, represented in terms of attributes with preferentially ordered domains, is given by the Pareto-optimal elements of this set. An important problem of Skyline queries is that answer sets can become extremely large. From an application point of view, a system response in terms of a ranking of elements, ordered according to the user’s preferences, would hence be more desirable than an unordered set. In this paper, we propose a method for constructing such a ranking in an interactive way. The key idea of our approach is to ask for user feedback on intermediate results, and to use this feedback to improve, via the induction of a latent utility function, the current ranking so as to represent the user’s preferences in a more faithful way." @default.
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- W36288487 date "2007-01-01" @default.
- W36288487 modified "2023-09-23" @default.
- W36288487 title "Interactive Ranking of Skylines Using Machine Learning Techniques." @default.
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