arXiv Open Access 2019

Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs

Leonid Boytsov Eric Nyberg
Lihat Sumber

Abstrak

We demonstrate that a graph-based search algorithm-relying on the construction of an approximate neighborhood graph-can directly work with challenging non-metric and/or non-symmetric distances without resorting to metric-space mapping and/or distance symmetrization, which, in turn, lead to substantial performance degradation. Although the straightforward metrization and symmetrization is usually ineffective, we find that constructing an index using a modified, e.g., symmetrized, distance can improve performance. This observation paves a way to a new line of research of designing index-specific graph-construction distance functions.

Topik & Kata Kunci

Penulis (2)

L

Leonid Boytsov

E

Eric Nyberg

Format Sitasi

Boytsov, L., Nyberg, E. (2019). Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs. https://arxiv.org/abs/1910.03534

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓