Transformers4NewsRec: A Transformer-based News Recommendation Framework
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929547504517120 |
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| author | Liu, Dairui Du, Honghui Yang, Boming Hurley, Neil Lawlor, Aonghus Li, Irene Greene, Derek Dong, Ruihai |
| author_facet | Liu, Dairui Du, Honghui Yang, Boming Hurley, Neil Lawlor, Aonghus Li, Irene Greene, Derek Dong, Ruihai |
| contents | Pre-trained transformer models have shown great promise in various natural language processing tasks, including personalized news recommendations. To harness the power of these models, we introduce Transformers4NewsRec, a new Python framework built on the \textbf{Transformers} library. This framework is designed to unify and compare the performance of various news recommendation models, including deep neural networks and graph-based models. Transformers4NewsRec offers flexibility in terms of model selection, data preprocessing, and evaluation, allowing both quantitative and qualitative analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_13125 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Transformers4NewsRec: A Transformer-based News Recommendation Framework Liu, Dairui Du, Honghui Yang, Boming Hurley, Neil Lawlor, Aonghus Li, Irene Greene, Derek Dong, Ruihai Information Retrieval Pre-trained transformer models have shown great promise in various natural language processing tasks, including personalized news recommendations. To harness the power of these models, we introduce Transformers4NewsRec, a new Python framework built on the \textbf{Transformers} library. This framework is designed to unify and compare the performance of various news recommendation models, including deep neural networks and graph-based models. Transformers4NewsRec offers flexibility in terms of model selection, data preprocessing, and evaluation, allowing both quantitative and qualitative analysis. |
| title | Transformers4NewsRec: A Transformer-based News Recommendation Framework |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2410.13125 |