Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...