Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Abstract. A smart home is an intelligent and shared space, where various services coexist and multiple residents with different preferences and habits share these services most of ...
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
Digital content is not only stored by servers on the Internet, but also on various embedded devices belonging to ubiquitous networks. In this paper, we propose a content processin...
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...