Designing CSCW systems that support the widely varying needs of targeted users is difficult. There is no silver bullet technology that enables users to effectively collaborate wit...
Will Humphries, D. Scott McCrickard, Dennis C. Nea...
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
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...