Self-guided learning to denoise for robust recommendation

Self-guided learning to denoise for robust recommendation

The ubiquity of implicit feedback makes them the default choice to build modern recommender systems. Generally speaking, observed interactions are considered as positive samples, while unobserved interactions are considered as negative ones. However, implicit feedback is inherently noisy because of...

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Bibliographic Details
Main Authors: GAO, Yunjun, DU, Yuntao, HU, Yujia, CHEN, Lu, ZHU, Xinjun, FANG, Ziquan, ZHENG, Baihua
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Denoising Recommendation
Implicit Feedback
Robust Learning
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/7182
https://ink.library.smu.edu.sg/context/sis_research/article/8185/viewcontent/_Submit__Self_Guided_Learning_to_Denoise_for_Robust_Recommendation.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7182
https://ink.library.smu.edu.sg/context/sis_research/article/8185/viewcontent/_Submit__Self_Guided_Learning_to_Denoise_for_Robust_Recommendation.pdf

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