An Adaptive Algorithm of Collaborative Filtering Recommender Based on Aggregate-Neighborhood
He Guang · 2004
Recommender systems apply statistical and knowledge discovery techniques to the problem of making prod-uct recommendations during a live interaction and they are achieving widespread success in E-commerce nowadays . In this paper,we introduce a different recommendation generation algorithm, we name it adaptive-aggregate-neighbor-hood collaborative filtering algorithm. Our experiments suggest that we prove that our algorithm has better perfor-mance than k-nearest neighbor and aggregate-neighborhood approach .