Difference between revisions of "Alibaba"
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Zeno Gantner (talk | contribs) (Created page with "'''Alibaba''' is a Chinese e-commerce company. == Papers == # {{search}} (personalised e-commerce search) [https://arxiv.org/abs/1805.08524 Globally Optimized Mutual Influen...") |
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== Papers == | == Papers == | ||
| − | # {{search}} | + | # {{search}} [https://arxiv.org/abs/1805.08524 Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search], IJCAI 2018 |
# {{performance}} Wang et al.: [https://arxiv.org/pdf/1803.02349.pdf Billion-scale commodity embedding for e-commerce recommendation in Alibaba], KDD 2018 | # {{performance}} Wang et al.: [https://arxiv.org/pdf/1803.02349.pdf Billion-scale commodity embedding for e-commerce recommendation in Alibaba], KDD 2018 | ||
# [https://arxiv.org/pdf/1801.02294.pdf Learning Tree-based Deep Model for Recommender Systems], KDD 2018 | # [https://arxiv.org/pdf/1801.02294.pdf Learning Tree-based Deep Model for Recommender Systems], KDD 2018 | ||
Revision as of 19:36, 2 December 2022
Alibaba is a Chinese e-commerce company.
Papers
- 🔍 Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search, IJCAI 2018
- 🏃 Wang et al.: Billion-scale commodity embedding for e-commerce recommendation in Alibaba, KDD 2018
- Learning Tree-based Deep Model for Recommender Systems, KDD 2018
- Deep Interest Network for Click-Through Rate Prediction, KDD 2018
- 🔍 📑 Personalized Re-ranking for Recommendation, RecSys 2019
- 🧠 Deep Interest Evolution Network for Click-Through Rate Prediction, AAAI 2019
- 🧠 Behavior Sequence Transformer for E-commerce Recommendation in Alibaba, DLP-KDD workshop 2019
- 🧠 Zhu et al.: Joint Optimization of Tree-based Index and Deep Model for Recommender Systems, NIPS 2019
- 🧠 BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer, CIKM 2019
- Co-Displayed Items Aware List Recommendation, IEEE TODO, 2020
- PURS: Personalized Unexpected Recommender System for Improving User Satisfaction, RecSys 2020
- Privileged Features Distillation at Taobao Recommendations, KDD 2020
- 📑 AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online, IEEE TKDE 2021
Software
External links
- GitHub (436 repos as of 2022-05, at least 2 of them relevant)
