User Attention Items Recommendation Algorithm Based on Weighted Association Rules
Zhengyu Zhu · Jisuanji gongcheng · 2006
According to each item of degree that is concerned by users,this paper gives the weight,concentrating importance of each item.It imports the choice attention and explains the trend of items they are selected in order to provide the items recommendation more accurately for the users.In experiment,the method in this paper and a kind of according to most the close neighbors is compared,to make to recommend the method.Experiment shows that the algorithm has better performance and accuracy.