Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
Due to the fast delivery of news articles by news providers on the Internet and/or via news datafeeds, it becomes an important research issue of predicting the risk of stocks by u...
Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping K...
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Evaluating the usability of an application is a crucial activity in systems development projects. It is often done collaboratively, involving groups of current or future users, us...
Gert-Jan de Vreede, Ann L. Fruhling, Anita Chakrap...
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...