#recommendationengine
Live, measured metrics for the hashtag #recommendationengine from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recommendationengine
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 · mastodon.social (Mastodon public tags API) · fetched 2026-11-11 01:23 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-11-11 01:23 UTCNo related tags with measured usage found for #recommendationengine.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-11 01:23 UTCEverything below is measured over the latest 27 public posts (spanning ~31771 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (24) · Portuguese (2) · German (1)
Avg boosts / post: 0.8
Top of the latest posts
The home feed of #Meta 's / #Facebook 's / #Instagram 's new social-media network #Threads seems to only be showing me posts from accounts I do NOT follow. I wonder if it is because the accounts I do follow there aren't posting (or aren't p
⬆️ @davidgerard >> #Meta launched a new #AI optimism ad set to a song about human extinction… No doubt recommended by their AI #recommendationEngine. https://techcrunch.com/2026/07/23/meta-launched-a-new-ai-optimism-ad-set-to-a-song-about-h
It isn't clear to me whether an LLM is replacing Twitter's current recommendation-engine (i.e., what some misleadingly call "an algorithm" or "the algorithm") with an LLM. Or, if the LLM is more of a front-end to a non-LLM based recommendat
#recommendationengine across platforms
every network with a public tag surfaceFollow #recommendationengine 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/recommendationengine