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...
Abstract. We consider a statistical database in which a trusted administrator introduces noise to the query responses with the goal of maintaining privacy of individual database en...
We consider the problem of handling similarity queries in peer-to-peer databases. Given a query for a data object, we propose an indexing and searching mechanism which returns the...
Indrajit Bhattacharya, Srinivas R. Kashyap, Sriniv...
Biomedical research on human subjects often requires a large amount of data to be collected by personal interviews, Internet based questionnaires, lab measurements or by extracting...
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...