The two most common paradigms to identify records of preference in a multi-objective
setting rely either on dominance (eg, the skyline operator) or on a utility function defined …

Skyline and ranking queries are two popular, alternative ways of discovering interesting data
in large datasets. Skyline queries are simple to specify, as they just return the set of all non …

Traditional rank-aware processing assumes a dataset that contains available options to
cover a specific need (eg, restaurants, hotels, etc) and users who browse that dataset via top …

Skyline queries are one of the most widely adopted tools for Multi-Criteria Analysis, with
applications covering diverse domains, including, eg, Database Systems, Data Mining, and …

Typically, a specific market (eg, of hotels, restaurants, laptops, etc.) is represented as a multi-
attribute dataset of the available products. The topic of identifying and shortlisting the …

Several indicators have been recently proposed for the measurement of various
characteristics of the tuples of a dataset—particularly the so-called skyline tuples, ie, those …

The two paradigms to identify records of preference in a multi-objective setting rely either on
dominance (eg, the skyline operator) or on a utility function defined over the records' …

In this paper, we study the m-impact region problem (mIR). In a context where users look for
available products with top-k queries, mIR identifies the part of the product space that …

Several indicators have been recently proposed for measuring various characteristics of the
tuples of a dataset--particularly, the so-called skyline tuples, ie, those that are not dominated …

Preferences are a fundamental ingredient in a variety of fields, ranging from economics to
computer science, for deciding the best choices among possible alternatives. Contexts …