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Maximum Inner Product is Query-Scaled Nearest Neighbor

Summary: Equates MIPS to query-scaled NNS without space transformations, enabling direct use of graph-based indexes and edge-pruning to eliminate redundant computations. Adds PSP to avoid large-norm solution clustering and AET to curb over-exploration, yielding ~35% speedup and 3x smaller indexes (deployed in Shopee). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14024
Venue
VLDB
Year
2025
Pagerank
5.7546877e-05
Overall Rank
6,851 | 53.00%
DOI
10.14778/3725688.3725705

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb25,
        title = {{Maximum Inner Product is Query-Scaled Nearest Neighbor}},
        author = {Chen, Tingyang and Fu, Cong and Wang, Kun and Ke, Xiangyu and Gao, Yunjun and Zhou, Wenchao and Ni, Yabo and Zeng, Anxiang},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {6},
        pages = {1770--1783},
        doi = {10.14778/3725688.3725705},
        url = {https://doi.org/10.14778/3725688.3725705},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
10,233 Enhancing Graph-based Approximate Maximum Inner Product Search via Norm-Adaptive Partitioning 2026 SIGMOD 5.093636e-05
10,299 Through the Lens of Hubness: A Revisit on Graph-Based Approximate Nearest Neighbor Search: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,447 Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph 2026 SIGMOD 5.093636e-05
10,455 FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search 2026 SIGMOD 5.093636e-05
10,493 Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
46 A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces 1998 VLDB 0.00044853085
93 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00034701237
286 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00022357911
398 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00019194947
926 Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination 2020 SIGMOD 0.00013181732
1,065 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00012335063
1,572 LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index 2016 SIGMOD 0.00010329197
1,589 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.00010264469
1,802 HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search 2022 VLDB 9.7284341e-05
2,534 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.4561875e-05
2,938 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 7.942728e-05
3,676 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 7.2094091e-05
3,858 A General and Efficient Querying Method for Learning to Hash 2018 SIGMOD 7.067591e-05
5,223 FARGO: Fast Maximum Inner Product Search via Global Multi-Probing 2023 VLDB 6.3102417e-05
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