#recsys
Live, measured metrics for the hashtag #recsys from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recsys
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 02:55 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 02:55 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:55 UTCEverything below is measured over the latest 40 public posts (spanning ~8302 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (29) · Russian (10) · French (1)
Avg boosts / post: 0.6
Top of the latest posts
After three years of waiting and the help of my data protection authority, I finally achieved to get my 'tweepcred' from Twitter/X. It is a score linked to my account used in recommender systems. Learn more: https://www.linkedin.com/posts/d
#ECIR2026 presentation by Savvina Daniil: "On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration", the first paper of #IRRJ Volume 1 Number 1: https://doi.org/10.54195/irrj
Together with @[email protected], we analyzed the papers published in the @[email protected] Reproducibility track from its inception in 2020 until 2025. The results have just now been published in our paper "
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/recsys