Transferable and curious AI in sequential recommendation

With the rapid development of E-commerce, recommendation systems have attracted more research attention in recent years, which help users make effective decisions among various items. Traditional recommendation methods usually utilize the whole user-item interaction history to model users' long...

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Bibliographic Details
Main Author: Zhang, Yinan
Other Authors: Miao Chun Yan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/164474
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Institution: Nanyang Technological University
Language: English
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