Uncovering Response Biases in Recommendation.
Kyung-Wha Park, Kim Byounghee, Tae-Suh Park, Byoung‐Tak Zhang · National Conference on Artificial Intelligence · 2014
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.