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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
13837
Venue
VLDB
Year
2025
Pagerank
4.4956257e-05
Overall Rank
8,484 | 41.04%
DOI
10.14778/3725688.3725705

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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
78 A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces 1998 VLDB 0.00056385781
210 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00034086264
494 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00021769407
763 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00016963981
1,347 Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination 2020 SIGMOD 0.00012463441
1,617 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.0001113145
1,966 LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index 2016 SIGMOD 9.9130791e-05
2,264 Manu: A Cloud Native Vector Database Management System 2022 VLDB 9.1587362e-05
2,687 HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search 2022 VLDB 8.3079951e-05
3,403 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 7.1338786e-05
3,780 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 6.7703467e-05
4,396 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 6.215279e-05
4,598 A General and Efficient Querying Method for Learning to Hash 2018 SIGMOD 6.053944e-05
5,690 FARGO: Fast Maximum Inner Product Search via Global Multi-Probing 2023 VLDB 5.3699421e-05
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