Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
— While multicast has been studied extensively in many domains such as content streaming and file sharing, there is little research applying it to synchronous collaborations invo...
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
One of the major premises of P2P systems is to enable fully decentralized collaborative functionalities for supporting work teams and P2P communities. Within collaborative systems,...
Abstract—Complex networks consisting of humans and software services, such as Web-based social and collaborative environments, typically require flexible and context-based inter...