#Paper Reading# Deep Interest Network for Click-Through Rate Prediction
論文題目: Deep Interest Network for Click-Through Rate Prediction 論文地址: https://dl.acm.org/citation.cfm?id=3219823 論文發表於: KDD 2018（CCF A類會議） 論文大體內容： 本文主要介紹了阿里媽媽團隊用於CTR任務的DIN（Deep Interest Network）模型，該模型通過
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相關文章
- 1. Deep Interest Network for Click-Through Rate Prediction
- 2. 【讀書筆記】Deep Interest Evolution Network for Click-Through Rate Prediction
- 3. 阿里CTR預估三部曲（3）：Deep Session Interest Network for Click-Through Rate Prediction簡介
- 4. 阿里CTR預估三部曲（1）：Deep Interest Network for Click-Through Rate Prediction簡析
- 5. #Paper reading#DeepInf: Social Influence Prediction with Deep Learning
- 6. #Paper Reading# Field-aware factorization machines for CTR prediction
- 7. 推薦系統之阿里廣告：Deep Interest Network for Click-Through Rate Predictioin
- 8. #Paper Reading# DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
- 9. #Paper Reading# DeepFM: a factorization-machine based neural network for CTR prediction
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