We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
Current search engines can hardly cope adequately with fuzzy predicates defined by complex preferences. The biggest problem of search engines implemented with standard SQL is that...
Personalized database systems give users answers tailored to their personal preferences. While numerous preference evaluation methods for databases have been proposed (e.g., skylin...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
Abstract. Peer Data Management Systems (PDMS) have recently attracted attention by the database community. One of the main challenges of this paradigm is the development and evalua...
Katja Hose, Andreas Job, Marcel Karnstedt, Kai-Uwe...
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...