Mitigating Consistency Bias in Recommender Systems via Transformer-Based Dynamic Fuzzy Bias Adjustment
: Recommender systems provide personalized services by learning from users' historical interactions, but recorded feedback may combine intrinsic preference with external influence and persistent rating habits. This mixture can produce consistency bias, in which users remain close to historical item evaluations or their...