As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
This paper presents the user modeling and recommendation techniques applied in Personal Program Guide (PPG), a system generating personalized Electronic Program Guides for digital ...
Liliana Ardissono, Cristina Gena, Pietro Torasso, ...
In this paper the authors describe Pundit, a course recommendation and search tool at Teachers College, Columbia University. The alpha prototype employs a novel combination of data...
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. Researchers have shown that attackers can manipulate a system’s reco...
Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Ch...