CCPIN: Classification and Combine Parallel Interaction Network for CTR Prediction
The study of feature interactions in deep neural network-based recommender systems has been a popular research area in industry and academic circles. However, the vast majority of parallel CTR prediction models do not classify the input features but instead feed them into the model. This way not onl...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2022-01-01
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| Serie: | Journal of Electrical and Computer Engineering |
| Accesso online: | http://dx.doi.org/10.1155/2022/7093457 |
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