1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Systems that recommend items to a group of two or more users raise a number of challenging issues that are so far only partly understood. This paper identifies four of these issue...
Collaboration is vital for the survival of companies in today’s fast moving economy and, therefore, finding and matching partners is an important task. This is true for many dif...
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...