DBScholar

Back to papers

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)

Paper ID
13167
Venue
VLDB
Year
2023
Pagerank
6.3102417e-05
Overall Rank
5,223 | 64.17%
DOI
10.14778/3579075.3579084

Incoming Non-self Citations Over Time

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers