Confidence-weighted bias model for online collaborative filtering

Xiuze Zhou, Weibo Shu, Fan Lin, Beizhan Wang

Abstract: Highlights•We add the first-order approximation of the bias involved in the rating into our algorithm.•We add the confidence-weighted method into online collaborative filtering.•Our algorithm takes the rating habits of the user and the attribute of the item into consideration.•Our algorithm improves the stability and accuracy of online collaborative filtering.