Self-attention Deep Field-embedded Factorization Machine for Click-through Rate Prediction
Objective Click-through rate (CTR) prediction realizes accurate recommendation of digital advertisements by predicting the user’s click probability on advertisements or commodities. However, current CTR prediction models have the following key issues. First, the raw embedding vectors have not been f...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of Journal of Sichuan University (Engineering Science Edition)
2024-09-01
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| Series: | 工程科学与技术 |
| Subjects: | |
| Online Access: | http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202201373 |
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