COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon
Summary: COSMO: scalable pipeline to mine user-centric commonsense from behaviors, with LLM seeds refined by critic classifiers. COSMO-LM is instruction-tuned to expand KG to 18, delivering millions of facts from 30k annotations, deployed in Amazon search. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Changlong Yu (Amazon)
- 2. Xin Liu (Amazon)
- 3. Jefferson Maia (Amazon)
- 4. Yang Li (Amazon)
- 5. Tianyu Cao (Amazon)
- 6. Yifan Gao (Amazon)
- 7. Yangqiu Song (Hong Kong University of Science and Technology)
- 8. Rahul Goutam (Amazon)
- 9. Haiyang Zhang (Amazon)
- 10. Bing Yin (Amazon)
- 11. Zheng Li (Amazon)
BibTeX Citation
@inproceedings{yu_sigmod24,
title = {{COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon}},
author = {Yu, Changlong and Liu, Xin and Maia, Jefferson and Li, Yang and Cao, Tianyu and Gao, Yifan and Song, Yangqiu and Goutam, Rahul and Zhang, Haiyang and Yin, Bing and Li, Zheng},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626246.3653398},
url = {https://dl.acm.org/doi/10.1145/3626246.3653398},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,116 | RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search | 2024 | VLDB | 6.892012e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,937 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.4524758e-05 |
| 4,314 | AliCoCo: Alibaba E-commerce Cognitive Concept Net | 2020 | SIGMOD | 6.7661904e-05 |
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