#recommendersystem
Live, measured metrics for the hashtag #recommendersystem from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recommendersystem
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 2026-11-06 02:37 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 2026-11-06 02:37 UTCNo related tags with measured usage found for #recommendersystem.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-06 02:37 UTCEverything below is measured over the latest 4 public posts (spanning ~9270 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 1
Top of the latest posts
Boy, the #linkedin #recommenderSystem really needs some work! There aren't many #politicians in #Germany lower on my approval list. 🧐 🤣 #politik #deutschland
From now on, instead of regularly posting links on Twitter, I will post a currated list of the best ones - once a week on Substack. So without further ado… This week it has a heavy focus on the latest research on algorithmic recommender sys
What better way to finish this year than announcing that I have defended my #PhD dissertation titled "Assessing the Impact of Music Recommendation Diversity on Listeners" and obtained the grade of Excellent, also awarded with the Mention "C
#recommendersystem across platforms
every network with a public tag surfaceFollow #recommendersystem 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/recommendersystem