Correlation-sensitive next-basket recommendation
Items adopted by a user over time are indicative ofthe underlying preferences. We are concerned withlearning such preferences from observed sequencesof adoptions for recommendation. As multipleitems are commonly adopted concurrently, e.g., abasket of grocery items or a sitting of media consumption,...
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Main Authors: | LE, Duc Trong, LAUW, Hady Wirawan, FANG, Yuan |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4434 https://ink.library.smu.edu.sg/context/sis_research/article/5437/viewcontent/main.pdf |
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Institution: | Singapore Management University |
Language: | English |
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