This paper presents a statistical model for expressing preferences through rankings, when the number of alternatives (items to rank) is large. A human ranker will then typically r...
Keyword-based search in relational databases allows users to discover relevant information without knowing the database schema or using complicated queries. However, such searches...
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interva...
Advanced personalization techniques are required to cope with novel challenges posed by attribute-rich MPEG-7 based digital libraries. At the heart of our deeply personalized news ...
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...