2022
DOI: 10.1007/s10489-022-04215-7
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IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships

Abstract: In the application recommendation field, collaborative filtering (CF) method is often considered to be one of the most effective methods. As the basis of CF-based recommendation methods, representation learning needs to learn two types of factors: attribute factors revealed by independent individuals (e.g., user attributes, application types) and interaction factors contained in collaborative signals (e.g., interactions influenced by others). However, existing CF-based methods fail to learn these two factors s… Show more

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Cited by 5 publications
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