User clustering analysis based on implicit navigation
Chunsheng Cui · Jisuanji yingyong yanjiu · 2011
This paper studied implicit navigation which was the key issues in the recommender systems.At the beginning,defined the expression of implicit user interest level which could describe user psychology and behavior.Then derived the user interest level to product category.Finally,got aggregation analysis result based on user interest level.So,this research not only solves the problem of user information,but also will lay the foundation for the recommendation algorithms and output of the recommender systems.