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Related data for GLIMG: Global and local item graphs for top-N recommender systems
Apr 23, 2022
Lin, Zhuoyi, 2022, "Related data for GLIMG: Global and local item graphs for top-N recommender systems", https://doi.org/10.21979/N9/NRRVDW, DR-NTU (Data), V2
GLIMG: Global and local item graphs for top-N recommender systems
Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering
Apr 23, 2022
Lin, Zhuoyi, 2022, "Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering", https://doi.org/10.21979/N9/TO2HBX, DR-NTU (Data), V2
Latent factor models play a dominant role among recommendation techniques. However, most of the existing latent factor models assume both historical interactions and embedding dimensions are independent of each other, and thus regrettably ignore the high-order interaction informa...
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