Correlation-sensitive next-basket recommendation

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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Bibliographic Details
Main Authors: LE, Duc Trong, LAUW, Hady Wirawan, FANG, Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Learning Preferences
Rankings
Recommender Systems
Databases and Information Systems
Operations Research, Systems Engineering and Industrial Engineering
Sales and Merchandising
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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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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