Study of Collaborative Filtering Recommendation Algorithm-Scalability Issue

@inproceedings{Pagare2013StudyOC,
  title={Study of Collaborative Filtering Recommendation Algorithm-Scalability Issue},
  author={Reena Pagare},
  year={2013}
}
Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information services. Collaborative Filtering technique is the most successful in the recommender systems field. Collaborative filtering creates suggestions for users based on their neighbors preferences. But it suffers from poor accuracy, scalability and cold start problems. The tremendous growth of the number of customers and products in recent years poses… CONTINUE READING