DALLRec: an effective data augmentation framework with fine-tuning large language model for recommendation
Abstract Recommender systems play an important role in modern digital platforms, but data sparsity has been one of the main challenges in this domain. Traditional solutions usually mitigate this problem by introducing side information, but often face the challenge of poor data quality. This can sign...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2025-08-01
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| Serie: | Journal of King Saud University: Computer and Information Sciences |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44443-025-00158-4 |
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