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LiteHST: A Tree Embedding based Method for Similarity Search

Summary: LiteHST: tree-embedding index for kNN under arbitrary metrics. Directly uses the HST tree for search (no embedding index) with a faster construction, lower time, and optimal distance bounds, plus reductions in distance computations; outperforms SOTA. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6538
Venue
SIGMOD
Year
2023
Pagerank
4.687476e-05
Overall Rank
7,654 | 46.76%
DOI
10.1145/3588715

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