Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. In traditional collaborative systems the amount of work increases with the number of participants in the system. New recommender system technologies are needed that can quickly produce high quality recommendations, even for very large-scale problems.
Item-Based Collaborative Filtering Recommendation Algorithms