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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
13836
Venue
VLDB
Year
2025
Pagerank
4.4999394e-05
Overall Rank
8,485 | 40.98%
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
79 A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces 1998 VLDB 0.00056242144
212 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00033913475
495 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00021767688
770 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00016917602
1,364 Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination 2020 SIGMOD 0.00012370117
1,636 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00011053863
1,971 LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index 2016 SIGMOD 9.893198e-05
2,262 Manu: A Cloud Native Vector Database Management System 2022 VLDB 9.1624446e-05
2,725 HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search 2022 VLDB 8.2294908e-05
3,400 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 7.1405533e-05
3,772 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 6.7761705e-05
4,401 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 6.2211271e-05
4,609 A General and Efficient Querying Method for Learning to Hash 2018 SIGMOD 6.0528541e-05
5,707 FARGO: Fast Maximum Inner Product Search via Global Multi-Probing 2023 VLDB 5.3611041e-05
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