Top Highlighted Recommendation System Ideas from Alibaba

1. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

> https://arxiv.org/abs/1803.02349

2. Learning and Transferring IDs Representation in E-commerce

> https://arxiv.org/abs/1712.08289

3. TDM:Learning Tree-based Deep Model for Recommender Systems

> https://arxiv.org/abs/1801.02294

4. Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction

> https://arxiv.org/abs/1704.05194

5. Deep Interest Network for Click-Through Rate Prediction

> https://arxiv.org/abs/1706.06978

6. Deep Interest Evolution Network for Click-Through Rate Prediction

> https://arxiv.org/abs/1809.03672

7. Deep Session Interest Network for Click-Through Rate Prediction

> https://arxiv.org/abs/1905.06482

8. Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

> https://arxiv.org/abs/1905.06874

9. Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

> https://arxiv.org/abs/1804.07931

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