Meta-learning on heterogeneous information networks for cold-start recommendation
Cold-start recommendation has been a challenging problem due to sparse user-item interactions for new users or items. Existing efforts have alleviated the cold-start issue to some extent, most of which approach the problem at the data level. Earlier methods often incorporate auxiliary data as user o...
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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/5155 https://ink.library.smu.edu.sg/context/sis_research/article/6158/viewcontent/KDD20_MetaHIN.pdf |
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Institution: | Singapore Management University |
Language: | English |