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 demonstration presents FlexPref, a framework implemented inside the DBMS query processor that enables efficient and extensible preference query processing. FlexPref provides ...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
We present here a formal foundation for an iterative and incremental approach to constructing and evaluating preference queries. Our main focus is query modification: a query tran...
By using database security metrics to evaluate how risky the current database environment is and visually displaying the metric results on graphs, database security visualization ...