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 Representations from Transformers) model and a Bi-... https://foldlyers.shop/product-category/hardware/