Positive-Unlabeled Learning in Implicit Feedback from Data Missing-Not-At-Random Perspective
The lack of explicit negative labels issue is a prevalent challenge in numerous domains, including CV, NLP, and Recommender Systems (RSs). To address this challenge, many negative sample completion methods are proposed, such as optimizing sample distribution through pseudo-negative sampling and conf...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-12-01
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| coleção: | Entropy |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1099-4300/28/1/41 |
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