#usermodeling
Live, measured metrics for the hashtag #usermodeling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #usermodeling
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 · mas.to (Mastodon public tags API) · fetched 2026-11-12 21:06 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-12 21:06 UTCNo related tags with measured usage found for #usermodeling.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-12 21:06 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
Rohan Paul (@rohanpaul_ai) Markopolo AI가 40억 파라미터 쇼핑 행동 예측 모델 Athena를 출시했다고 발표했습니다. 현재 페이지와 사용자 상호작용 이력을 입력으로 받아 다음 브라우저 행동을 예측하며, 해당 벤치마크에서 GPT-5.6 및 Claude Opus 4.8을 앞섰다고 주장합니다. 범용 LLM보다 특정 도메인·행동 예측에 특화된 소형 모델이 우세할 수 있음을 보여주는 사례입니다. http
#usermodeling across platforms
every network with a public tag surfaceFollow #usermodeling straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/usermodeling