Incremental Collaborative Filtering Considering Temporal Effects

Yongji Wang, Xiaofeng Liao, Hu Wu +1

Recommender systems require their recommendation algorithms to be accurate, scalable and should handle very sparse training data which keep changing over time. Inspired by ant colo…