The vast amount of information available on the Internet, coupled with the diversity of user information needs, have urged the development of personalized systems that are capable of distinguishing one user from the other in order to provide content, services and information tailored to individual users. Recommender Systems (RS) form a special category of such personalized systems and aim to predict user’s preferences based on her previous behavior. Recommender systems emerged in the mid-90’s and since they have been used and tested with great success in e-commerce, thus offering a powerful tool to businesses activating in this field by adding extra value to their customers. They have experienced.
