We present a group recommender system for vacations that helps group members who are not able to communicate synchronously to specify their preferences collaboratively and to arri...
Anthony Jameson, Stephan Baldes, Thomas Kleinbauer
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Psychological literature shows that people do not always make rational choices with respect to whom to collaborate with. Providing the value of candidate connections may help them...
Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...
Abstract. Nowadays, the most dominant and noteworthy web information sources are developed according to the collaborative-web paradigm, also known as Web 2.0. In particular, it rep...