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...
Privacy has been acknowledged to be a critical requirement for many business environments. A variety of uncertainty and mutability poses challenges when sharing resources must happ...
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
This paper describes and contrasts findings from two related projects where groups of science pupils investigated local air pollution using a collection of mobile sensors and devic...
Flood control for reservoirs require operations in a dynamic and cooperative manner in order to respond to the changing flood control conditions. There is an increasing emphasis on...
Chuntian Cheng, Kwok-wing Chau, Gang Li, Xiang-Yan...