MTRec: Learning to Align with User Preferences via Mental Reward Models

Neural Information Processing Systems 

Recommendation models are predominantly trained using implicit user feedback, since explicit feedback is often costly to obtain. However, implicit feedback, such as clicks, does not always reflect users' real preferences.