Collaborative topic regression with denoising AutoEncoder for content and community co-representation
Personalized recommendation of items frequently faces scenarios where we have sparse observations on users' adoption of items. In the literature, there are two promising directions. One is to connect sparse items through similarity in content. The other is to connect sparse users through simila...
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Main Authors: | , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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Online Access: | https://ink.library.smu.edu.sg/sis_research/3883 https://ink.library.smu.edu.sg/context/sis_research/article/4885/viewcontent/CollaborativeTopicRegression_AutoEncoder_2017.pdf |
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Institution: | Singapore Management University |
Language: | English |
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