Study on user interest level for clustering analysis in recommender systems
Ying Wang · Computer Engineering and Applications Journal · 2011
Based on the need of user or merchandise clustering in recommender systems,the idea of user interest level or Web interest level is proposed in the paper.Through comparing users’browsing time,browsing action and the amount of information,a method of computing user interest level to a class of merchandise is put forward.By setting thresholds,the interested merchandise set of users,interested user set of merchandise and user set of similar interest are defined.So the general steps of users clustering based on user interest level are gotten,which has a meaning of promotion and reference.