#documentsimilarity
Live, measured metrics for the hashtag #documentsimilarity from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #documentsimilarity
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:22 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 11:22 UTCNo related tags with measured usage found for #documentsimilarity.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:22 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
Estimating Levenshtein Distance for Large Documents Using Compact Signatures 이 논문은 대용량 문서 간의 레벤슈타인 거리(Levenshtein Distance, LD)를 효율적으로 추정하는 새로운 기법을 제안한다. 원본 문서에서 슬라이딩 윈도우 해시를 통해 생성한 짧은 서명(signature)을 사용하여 LD를 계산함으로써, 수십만 자에 달하는 문서도 일반 하드웨어에
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/documentsimilarity