CTR预估 论文精读(十三)--Behavior Sequence Transformer for E-commerce Recommendation in Alibaba(BST)
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba 论文解读 0. 摘要 In this paper, we propose to use the powerful Transformer model to capture the sequential signals underlying users’ be
相关文章
- 1. Behavior Sequence Transformer for E-commerce Recommendation in Alibaba简析
- 2. CTR预估 论文精读(十一)--Deep Interest Evolution Network(DIEN)
- 3. CTR预估 论文精读(九)--Deep & Cross Network for Ad Click Predictions
- 4. CTR预估 论文精读(十)--xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
- 5. 20篇最值得一读的深度推荐系统与CTR预估论文
- 6. 点击率预测《Field-aware Factorization Machines for CTR Prediction》论文精读
- 7. EMNLP2020 | 近期必读Transformer精选论文
- 8. 【论文导读】DLP-KDD2019｜BST---使用Transformer进行序列推荐
- 9. Kaggle ： Display Advertising Challenge( ctr 预估 )
- 10. CTR预估
- 更多相关文章...
- • Swift for-in 循环 - Swift 教程
- • C# 文本文件的读写 - C#教程
- • JDK13 GA发布：5大特性解读
- • RxJava操作符（十）自定义操作符
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Behavior Sequence Transformer for E-commerce Recommendation in Alibaba简析
- 2. CTR预估 论文精读(十一)--Deep Interest Evolution Network(DIEN)
- 3. CTR预估 论文精读(九)--Deep & Cross Network for Ad Click Predictions
- 4. CTR预估 论文精读(十)--xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
- 5. 20篇最值得一读的深度推荐系统与CTR预估论文
- 6. 点击率预测《Field-aware Factorization Machines for CTR Prediction》论文精读
- 7. EMNLP2020 | 近期必读Transformer精选论文
- 8. 【论文导读】DLP-KDD2019｜BST---使用Transformer进行序列推荐
- 9. Kaggle ： Display Advertising Challenge( ctr 预估 )
- 10. CTR预估