Alibaba

Alibaba is a Chinese e-commerce company.

Papers

1. 🔍 Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search, IJCAI 2018
2. 🏃 Wang et al.: Billion-scale commodity embedding for e-commerce recommendation in Alibaba, KDD 2018
3. Learning Tree-based Deep Model for Recommender Systems, KDD 2018
4. Deep Interest Network for Click-Through Rate Prediction, KDD 2018
5. Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction, KDD 2019
6. 🔍 📑 Personalized Re-ranking for Recommendation, RecSys 2019
7. 🧠 Deep Interest Evolution Network for Click-Through Rate Prediction, AAAI 2019
8. 🧠 Behavior Sequence Transformer for E-commerce Recommendation in Alibaba, DLP-KDD workshop 2019
9. 🧠 Zhu et al.: Joint Optimization of Tree-based Index and Deep Model for Recommender Systems, NIPS 2019
10. 🧠 BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer, CIKM 2019
11. Co-Displayed Items Aware List Recommendation, IEEE TODO, 2020
12. PURS: Personalized Unexpected Recommender System for Improving User Satisfaction, RecSys 2020
13. Privileged Features Distillation at Taobao Recommendations, KDD 2020
14. 📑 AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online, IEEE TKDE 2021
15. 💵 Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling, KDD 2021

Software

1. EasyRec
2. DeepRec: uses TF 1.15
3. DeepCTR (by an Alibaba employee)
4. DeepCTR-Torch (by an Alibaba employee)

External links

• GitHub (436 repos as of 2022-05, at least 2 of them relevant)