Academic Collaborator Recommendation Based on Attributed Network Embedding
Based on real-world academic data, this study aims to use network embedding technology to mining academic relationships, and investigate the effectiveness of the proposed embedding model on academic collaborator recommendation tasks.
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| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
De Gruyter
2022-02-01
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| Серии: | Journal of Data and Information Science |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.2478/jdis-2022-0005 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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