Experimental analysis on cross domain preferences association and rating prediction
Zhenhua Dong, Qian Zhao · 2012
Cross domain recommendation and preferences association are emerging research topics. In this paper, we will study the two topics through experimental analysis methods: firstly, we use folksonamy to analyze the preferences association among different domains; secondly, we analyze the feasibility of cross domain rating prediction based on KNN model. The experimental results report the associative tag pairs of users' preferences on items across domains. In addition, we report the cross domain prediction results here.