Recommendation Method for Contrastive Enhancement of Neighborhood Information
Recommendation Method for Contrastive Enhancement of Neighborhood Information is a scholarly work, published in 2024 in ''Computers, Materials and Continua''. The main subjects of the publication include contrast, Construct, data mining, graph, artificial intelligence, noise, knowledge graph, collaborative filtering, embedding, graph neural network, recommender system, MovieLens, machine learning, and computer science. The paper then performs contrastive learning between neighbor views to promote the uniformity of view information, adjusting the neighbor structure, and achieving the goal of reducing the knowledge noise in the knowledge graph.