Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views: [Experiments & Analysis]
Summary: Iceberg: task-centric benchmark for VSS beyond recall/latency on metric ground truth; evaluates end-to-end pipeline across 8 datasets, exposing an Information Loss Funnel (embedding loss, metric misuse, distribution sensitivity). Re-ranks 13 VSS methods and provides interpretable guidance for workload-specific method selection. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Tingyang Chen (Zhejiang University)
- 2. Cong Fu (Shopee Private Limited)
- 3. Jiahua Wu (Shopee Private Limited)
- 4. Haotian Wu (Zhejiang University)
- 5. Hua Fan (Alibaba)
- 6. Xiangyu Ke (Zhejiang University)
- 7. Yunjun Gao (Zhejiang University)
- 8. Yabo Ni (Nanyang Technological University)
- 9. Anxiang Zeng (Nanyang Technological University)
BibTeX Citation
@inproceedings{chen_sigmod26,
title = {{Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views: [Experiments \& Analysis]}},
author = {Chen, Tingyang and Fu, Cong and Wu, Jiahua and Wu, Haotian and Fan, Hua and Ke, Xiangyu and Gao, Yunjun and Ni, Yabo and Zeng, Anxiang},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786690},
url = {https://dl.acm.org/doi/10.1145/3786690},
year = {2026}
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