Neighbor Interaction Aware Graph Convolution Networks for Recommendation

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 1289-1298, 2020.

Cited by: 0|Bibtex|Views123|DOI:https://doi.org/10.1145/3397271.3401123
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Personalized recommendation plays an important role in many online services. Substantial research has been dedicated to learning embeddings of users and items to predict a user's preference for an item based on the similarity of the representations. In many settings, there is abundant relationship information, including user-item interact...More

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