Techniques for Novelty in Recommender System
Recommendation systems help the people to find things according to their interest and they are used widely with the development of electronic commerce. Many recommendation systems employ the Collaborative Filtering (CF) techniques, which are proved to be one of the most successful in recommender systems in recent years. CF techniques can be applied in entertainment domain also, for example in Amazon.com. CF provides recommendation based on the individual preferences. Because of the obvious increase of products in electronic commerce systems, the time consumed in searching the real time requirement of the customer sometimes results in failure.