RACL: A robust adaptive contrastive learning method for conversational satisfaction prediction

•We propose the TAM-GCN method to embed users’ potential preferences in conversation.•We propose the TAIA method to model user's conversational perception and experience.•We propose a robust adaptive contrastive learning method RACL for CSP.•Experiments on four datasets show the superior prediction performance of RACL.