AAAI Publications, Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence

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Uncovering Response Biases in Recommendation
Kyung-Wha Park, Byoung-Hee Kim, Tae-Suh Park, Byoung-Tak Zhang

Last modified: 2014-06-18


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.


Response Bias; Recommender System; Preference Handling

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