Impact of temporal context on recommender systems along global timeline

Recommender systems filter through the vast pool of information and provide personalized recommendations. However, with the dynamic nature of user preference, it is essential to design recommender systems that can adapt to the continuous changes in user preferences and the evolving environment. In...

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Bibliographic Details
Main Author: Ji, Yitong
Other Authors: Sun Aixin
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173690
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Institution: Nanyang Technological University
Language: English