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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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2023-06-01
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| シリーズ: | Frontiers in Big Data |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fdata.2023.1195742/full |
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