Effective and efficient document ranking without using a large lexicon
Summary: Proposes ranking without a large lexicon, using a character-based signature index as the access structure, enabling registration without word segmentation. Queries are statistically derived and evaluated in a word-based manner over the character index, with two speedups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yasushi Ogawa (Ricoh Co., Ltd.)
BibTeX Citation
@article{ogawa_vldb96,
title = {{Effective and efficient document ranking without using a large lexicon}},
author = {Ogawa, Yasushi},
journal = {PVLDB},
series = {{VLDB} '96},
year = {1996}
}
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