Uncertainty-adjusted recommendation via matrix factorization with weighted losses

• المؤلفون الرئيسيون: ALVES, Rodrigo, LEDENT, Antoine, KLOFT, Marius
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Recommendation Systems; Matrix Completion; Statistical Learning Theory; Uncertainty Estimation; Nuclear Norm Regularization; Databases and Information Systems; OS and Networks
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8031
• المؤسسة: Singapore Management University

In a recommender systems (RSs) dataset, observed ratings are subject to unequal amounts of noise. Some users might be consistently more conscientious in choosing the ratings they provide for the content they consume. Some items may be very divisive and elicit highly noisy reviews. In this article, w...