PME: pruning-based multi-size embedding for recommender systems
Embedding is widely used in recommendation models to learn feature representations. However, the traditional embedding technique that assigns a fixed size to all categorical features may be suboptimal due to the following reasons. In recommendation domain, the majority of categorical features' embed...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2023-06-01
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| Col·lecció: | Frontiers in Big Data |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/fdata.2023.1195742/full |
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