Towards trustworthy recommenders: building explainable and unbiased recommendation systems
The explosively increasing online content, such as exposure on e-commerce platforms (e.g., Amazon and Taobao), makes it very difficult for users to choose suitable items or information from the vast volume of options available. To address this problem, recommendation systems have been widely used to...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175790 |