Nowadays, Recommendation Systems (RS) play an important role in the e-Commerce business and they have been proposed to exploit the potential of social networks by filtering information and offering useful recommendations to customers. As the personalization service is built to present the users with highly relevant set of items, the customer loyalty of the web companies can be improved. Collaborative Filtering (CF) is believed to be a suitable underlying technique for recommendation systems based on social networks, since it harvests information both from similar products and from peer users...
Nowadays, Recommendation Systems (RS) play an important role in the e-Commerce business and they have been proposed to exploit the potential of social...