FARGO: Fast Maximum Inner Product Search via Global Multi-Probing
Summary: FARGO accelerates high-dimensional MIPS with global multi-probing, ranking promising candidates across hash tables rather than probing locally. Random XBOX transformation avoids imbalance, while adaptive early termination provides fast, theoretically guaranteed search. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Xi Zhao (Huazhong University of Science and Technology)
- 2. Bolong Zheng (Huazhong University of Science and Technology)
- 3. Xiaomeng Yi (Zilliz)
- 4. Xiaofan Luan (Zilliz)
- 5. Charles Xie (Zilliz)
- 6. Xiaofang Zhou (Hong Kong University of Science and Technology)
- 7. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{zhao_vldb23,
title = {{FARGO: Fast Maximum Inner Product Search via Global Multi-Probing}},
author = {Zhao, Xi and Zheng, Bolong and Yi, Xiaomeng and Luan, Xiaofan and Xie, Charles and Zhou, Xiaofang and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1100--1112},
doi = {10.14778/3579075.3579084},
url = {https://doi.org/10.14778/3579075.3579084},
year = {2023}
}
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