Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Abstract. Through interaction with others, a person develops multiple perspectives that become the basis for innovation and the construction of new knowledge. This chapter discusse...
Novel forms of collaboration increasingly distribute control among e-workers, thereby allowing agile and autonomous collaboration. However, this requires a novel blend of infrastr...
Daniel Schall, Christoph Dorn, Schahram Dustdar, I...
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...