We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Abstract. When smart objects participate in context-aware applications, changes in their real-world environment can have a significant impact on underlying networking structures. ...
In this paper we introduce a system called e-Fuzion based on using computing devices, such as Tablet PCs, that empower students and teachers with better technologies for education...
Chad Peiper, Ellick Chan, Roy H. Campbell, Jim Bre...
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...