Uncovering Response Biases in Recommendation

An user-specific tendency of biased movie rating is investigated, leading six identified types of rating pattern in a massive movie rating dataset. Based on the observed bias assumption, we propose a rescaling method of preferential scores by considering the rating types.  Experimental results show significant enhancement for movie recommendation systems.