Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
"Anything that one cannot measure cannot be controlled." Software metrics provide insight into the quality of software, informing the developers about the status of a pr...
Disclosures of health databases for secondary purposes is increasing rapidly. In this paper, we develop and evaluate a reidentification risk metric for the case where an intruder ...