Foundations of Preferences in Database Systems

By Werner Kießling. Very Large Data Bases Conference, 2002

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Skyline with presorting (2003, background): “Skyline has prompted much interest recently, as people see its potential as a basis for—or at least a major component of—efforts to provide preference queries over relational database systems [1, 3, 6, 7, 8].”
Efficient Computation of Reverse Skyline Queries (2007, background): “Note that the problem of reverse skyline has not been addressed so far.”
Finding k-dominant skylines in high dimensional space (2006, background): “We note that in both the above cases, ranking can be done by providing some preference functions [1, 8] and requesting users to provide some weight assignments for their preferred features or more trusted users in the latter case.”
Efficient Distributed Skylining for Web Information Systems (2004, background): “Whereas [15] and the more recent extensive system in [12] with an algebra for integrating the concept of Pareto optimality with the top k retrieval model for preference engineering and query optimization in databases [11], are more powerful in that they do not restrict skyline queries to numerical d”
Preference SQL - Design, Implementation, Experiences (2002, methodology): “Note that in case of Pareto accumulation BMO returns exactly the Pareto-optimal set (see [Kie02] for more details).”