Aligning dual disentangled user representations from ratings and textual content
Classical recommendation methods typically render user representation as a single vector in latent space. Oftentimes, a user's interactions with items are influenced by several hidden factors. To better uncover these hidden factors, we seek disentangled representations. Existing disentanglement...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7598 https://ink.library.smu.edu.sg/context/sis_research/article/8601/viewcontent/kdd22b.pdf |
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| Institution: | Singapore Management University |
| Language: | English |