#recommender_system
Live, measured metrics for the hashtag #recommender_system from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recommender_system
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 09:54 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 09:54 UTCNo related tags with measured usage found for #recommender_system.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:54 UTCEverything below is measured over the latest 4 public posts (spanning ~12739 hours).
Posting hours (UTC)
Languages: Russian (2) · Japanese (2)
Avg boosts / post: 0
Top of the latest posts
RecBole — «комбайн» на PyTorch для любых рекомендаций Привет, Хабр! Сегодня разберём RecBole — универсальный фреймворк на PyTorch, который отвечает на три насущных вопроса любого ML-инженера рекомендаций: Как быстро обкатать десятки алгорит
Применение рекомендательного фреймворка ODRS на практике: SCARA-робот сортирует цветные крышки В лаборатории комании Insystem мы часто применяем наш фреймворк ODRS (подробнее тут ) для решения различных задач в области компьютерного зрения.
We were not accepted into Google Summer of Code. So, we started our own https://qdrant.tech/blog/qdrant-summer-of-code-24/ #ycombinator #vector_search_engine #neural_network #matching #SaaS #approximate_nearest_neighbor_search #image_search
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/recommender_system