Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation

An attention-based deep learning framework with sentiment-infused preference modeling (DeepSU) is proposed to emulate human cognition effectively and achieves lower RMSE than baseline methods under data sparsity and maintains performance advantages as the input scale increases, while keeping training time minimal.