This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database syst...
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas...
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...
This paper presents a principled framework for efficient processing of ad-hoc top-k (ranking) aggregate queries, which provide the k groups with the highest aggregates as results....
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...