Current eCommerce is still mainly characterized by the relatively straightforward trading of commodity goods. Nextgeneration efforts in worldwide information infrastructure, espec...
In this paper, we present our efforts towards creating interfaces for networked media exploration and collaborative annotation. The problem is important since online social networ...
Preetha Appan, Bageshree Shevade, Hari Sundaram, D...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
In response to the difficulties experienced by the automotive industry in adopting new procurement technology this research investigates an emerging phenomenon: electronic interor...
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...