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

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A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources

As an important way to alleviate information overload, a recommender system aims to filter out irrelevant information for users and provides them Stools items that they may be interested in.In recent years, an increasing amount of works have been proposed to introduce auxiliary information in recommender systems to alleviate data sparsity and cold-

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