We propose a frame structure that is augmented with belief functions to model knowledge in a spoken dialog system. In addition we propose methods to combine belief functions in the...
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
The advent of computing has exacerbated the problem of overwhelming information. Advanced information management strategies such as Information Extraction, Information Filtering, I...
Li Kwang Angela Wee, Loong Cheong Tong, Chew Lim T...
Web browsing is often a collaborative activity. Users involved in a joint information gathering exercise will wish to share knowledge about the web pages visited and the contents f...