IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled "Research on the Application ...
As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...
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