Algorithm Adaptation Bias in Recommendation System Online Experiments

Chen Zheng, Zhenyu Zhao

Online experiments (A/B tests) are widely regarded as the gold standard for evaluating recommender system variants and guiding launch decisions. However, a variety of biases can di…