Graph meta network for multi-behavior recommendation

L Xia, Y Xu, C Huang, P Dai, L Bo - … of the 44th international ACM SIGIR …, 2021 - dl.acm.org
Modern recommender systems often embed users and items into low-dimensional latent
representations, based on their observed interactions. In practical recommendation …

Graph Meta Network for Multi-Behavior Recommendation

L Xia, Y Xu, C Huang, P Dai, L Bo - arXiv preprint arXiv:2110.03969, 2021 - arxiv.org
Modern recommender systems often embed users and items into low-dimensional latent
representations, based on their observed interactions. In practical recommendation …

Graph Meta Network for Multi-Behavior Recommendation

L Xia, Y Xu, C Huang, P Dai, L Bo - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Modern recommender systems often embed users and items into low-dimensional latent
representations, based on their observed interactions. In practical recommendation …

Graph Meta Network for Multi-Behavior Recommendation

L Xia, Y Xu, C Huang, P Dai, L Bo - SIGIR 2021-Proceedings of the 44th …, 2021 - hub.hku.hk
Modern recommender systems often embed users and items into low-dimensional latent
representations, based on their observed interactions. In practical recommendation …

[引用][C] Graph Meta Network for Multi-Behavior Recommendation

L Xia, Y Xu, C Huang, P Dai, L Bo - … of the 44th International ACM SIGIR …, 2021 - hub.hku.hk
HKU Scholars Hub: Graph Meta Network for Multi-Behavior Recommendation Skip
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