Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
The rapid growth of the number of videos in YouTube provides enormous potential for users to find content of interest to them. Unfortunately, given the difficulty of searching vid...
Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Ji...
Personalization is one of the important research issues in the areas of information retrieval and Web search. Providing personalized services that are tailored toward the specific...
Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, B...
The use of recommender systems in e-commerce to guide customer choices presents a privacy protection problem that is twofold. We seek to protect the privacy interests of customers...
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...