💞NEW: RECOMMENDATIONS 💞 The best way to discover amazing new publications through friends, authors and trusted communities! Recommendations are our first step towards that social discovery! Spread the love and recommend your favorite standard site publications to your readers!
Aug 6, 2026 at 10:53 PM
Collective Social | Track what you love. Share what matters.
Curate lists, track your progress, and share recommendations across books, movies, TV shows, and more — all on the open social web.
pub search / recommended
most-recommended posts across atproto publishing platforms
your long-form atmosphere · pub search
what you publish, who reads it, your semantic neighborhoods, and what you recommend
Paper Skygest: Personalized Academic Recommendations on Bluesky
We build, deploy, and evaluate Paper Skygest, a custom personalized social feed for scientific content posted by a user's network on Bluesky and the AT Protocol. We leverage a new capability on emerging decentralized social media platforms: the ability for anyone to build and deploy feeds for other users, to use just as they would a native platform-built feed. To our knowledge, Paper Skygest is the first and largest such continuously deployed personalized social media feed by academics, with over 50,000 weekly uses by over 1,000 daily active users, all organically acquired. First, we quantitatively and qualitatively evaluate Paper Skygest usage, showing that it has sustained usage and satisfies users; we further show adoption of Paper Skygest increases a user's interactions with posts about research, and how interaction rates change as a function of post order. Second, we share our full code and describe our system architecture, to support other academics in building and deploying such feeds sustainably. Third, we overview the potential of custom feeds such as Paper Skygest for studying algorithm designs, building for user agency, and running recommender system experiments with organic users without partnering with a centralized platform.
blogs.social — Discover the open web
Discover and follow blogs across Bluesky, Mastodon, RSS, and the open social web.
Pixie: A System for Recommending 3+ Billion Items to200+ Million Users in Real-Time
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a …
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large
Twitter's For You Recommendation Algorithm
Twitter has open-sourced a majority of its recommendation algorithm. It offers an exciting opportunity for researchers, industry practitioners, and RecSys enthusiasts to take a close look at how Twitter computes the recommended feed for the For You page. This article described Twitter’s end-to-end recommender system along with relevant literature and code references.
Announcing our newly designed explore page 📣 Your go-to place to discover content and curators across the network. Read on to learn about what's on the page. semble.so/explore
Wonderful talk by @sjgreenwood.bsky.social about @paper-feed.bsky.social! Custom feeds on Bluesky are unique resources for researchers interested in recommendation algorithms #IC2S2 Featuring many Bluesky friends like @graze.social @devingaffney.com @kissane.myatproto.social @aendra.com
I made a little social bibliography atproto app. You can post papers you read and see what your friends are reading. Paper info autofills from links, and it exports to bibtex. There's chronological and following only feeds, maybe more to come, and you can organize papers into lists for your own use.
papers.club
papers.club
