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On the Complexity of Inner Product Similarity Join

Summary: Characterizes complexity of inner-product similarity join: proves SETH-based subquadratic approximation hardness and provides new upper and lower bounds for (A)LSH across signed/unsigned variants. Introduces a relaxed LSH avoiding asymmetry, novel asymmetric embeddings, and a linear-sketch indexing method that nearly matches the hardness limits. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1680
Venue
PODS
Year
2016
Pagerank
5.908896e-05
Overall Rank
4,808 | 66.56%
DOI
10.1145/2902251.2902285

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