Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features
To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features (ICSR).The algorithm begins by employing a pre-trained BERT (Bidirectional Encoder Representation