A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
The design and development of a complex system as well as the simulation of its dynamic behavior are usually involved in multidisciplinary field knowledge. HLA-based collaborative ...
A major problem facing the full deployment of business-to-consumer (B2C) e-commerce is the development of trust on the side of the consumer. People develop trust in a business thr...
Michael A. Shepherd, Anil Dhonde, Carolyn R. Watte...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...