Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
In this paper, we describe recent work in developing a peer-topeer collaborative environment. The study examines various locking mechanisms/policies by adjusting the granularity o...
This paper is about a web-based system for collaboration and sharing of information among medical professionals. The system, originally targeted for ophthalmologists, has a generi...
Tatjana M. Burkow, Kristian Fossen, Line Lundvoll ...
Abstract. Many CSCL systems have embraced scripting and service oriented computing to achieve effective collaboration and system flexibility, respectively. While learning standard...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...