Efficient retrieval of matrix factorization-based top-k recommendations: A survey of recent approaches
Top-k recommendation seeks to deliver a personalized list of k items to each individual user. An established methodology in the literature based on matrix factorization (MF), which usually represents users and items as vectors in low-dimensional space, is an effective approach to recommender systems...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/6052 https://ink.library.smu.edu.sg/context/sis_research/article/7049/viewcontent/jair21.pdf |
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| Institution: | Singapore Management University |
| Language: | English |