#recommendationsystems

Live, measured metrics for the hashtag #recommendationsystems from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
13
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 13
0
Avg reactions / post
Mastodon · last 13

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:03 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 14:03 UTC

No related tags with measured usage found for #recommendationsystems.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:03 UTC

Everything below is measured over the latest 13 public posts (spanning ~28798 hours).

Posting hours (UTC) — busiest: 05:00

00:0012:0023:00

Languages: English (13)

Avg boosts / post: 0.2

Top of the latest posts

  • Optimizing Recommendation Systems with JDK's Vector API https://netflixtechblog.com/optimizing-recommendation-systems-with-jdks-vector-api-30d2830401ec #HackerNews #OptimizingRecommendationSystems #VectorAPI #JDK #TechBlog #NetflixTech #Rec

    Hacker News@[email protected]♥ 0↻ 02026-03-05 18:21 UTCView post →

  • Search Engine Land: AI recommendation lists repeat less than 1% of the time: Study. “When ChatGPT, Claude, or Google’s AI get asked for brand or product recommendations, they almost never return the same list twice — and almost never in the

    ResearchBuzz: Firehose@[email protected]♥ 0↻ 02026-01-31 16:10 UTCView post →

  • Counterfactual evaluation for recommendation systems https://eugeneyan.com/writing/counterfactual-evaluation/ #HackerNews #CounterfactualEvaluation #RecommendationSystems #MachineLearning #DataScience #ArtificialIntelligence

    Hacker News@[email protected]♥ 0↻ 02026-01-17 17:03 UTCView post →

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/recommendationsystems