Reinforced negative sampling over knowledge graph for recommendation
Properly handling missing data is a fundamental challenge in recommendation. Most present works perform negative sampling from unobserved data to supply the training of recommender models with negative signals. Nevertheless, existing negative sampling strategies, either static or adaptive ones, are...
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Main Authors: | , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7459 https://ink.library.smu.edu.sg/context/sis_research/article/8462/viewcontent/3366423.3380098.pdf |
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Institution: | Singapore Management University |
Language: | English |