Following in Amazon's footsteps, two student projects independently use 'collaborative filtering' to bring recommendations and social networking to online music; soon they will join forces.
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.
Last.fm | Play music, find songs, and discover artists
The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
Ecosystem or Echo-System? Exploring Content Sharing across Alternative Media Domains
Kate Starbird,Ahmer Arif,Tom Wilson,Katherine Van Koevering,Katya Yefimova,Daniel Scarnecchia
How Platform Recommenders Work – Center for Human-Compatible Artificial Intelligence
A recommender system (or simply ‘recommender’) is an algorithm that takes a large set of items and determines which of those to display to a user—think the Facebook News Feed, the Twitter timeline, Google News, or the YouTube homepage. Recommenders are necessary tools to help navigate the sheer volume of content produced each day, but their scale and rapid development can cause unintended consequences. Facebook’s algorithms have been blamed for radicalizing users, TikTok’s for inundating teens with eating-disorder videos, and Twitter’s for political bias.
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.
[Draft] Follow anyone — Open Indie
I just wanna keep track of people I care for and find interesting. The type of feed(s) available for subscription (blog, micro-blog, chat...
When Software Took the Word 'Social'
Rocksky (@rocksky.app)
A decentralized music tracking and discovery platform built on @atproto.com 🎵 . Scrobble your plays, share playlists, and explore listening trends, not affiliated with @bsky.app Support the project → https://github.com/sponsors/tsirysndr
ProbablyFrens, Contextual Feeds and Intent-Based Discovery
It’s that time of the year—ETHDenver is just around the corner! Index will be there, and if you’re attending, we’d love to connect! But that’s not all—Index has been evolving, bringing new experiences to make discovery more intuitive and personalized.Meet ProbablyFrens: The Matchmaker AgentWe’re introducing Index’s Matchmaker Agent, an autonomous connector that helps you find the friendships, collaborations, and conversations that should already exist. Whether you’re looking for thought partn...
tsirysndr/rocksky
A decentralized music tracking and discovery platform built on AT Protocol 🎵
“Data Strikes”: Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies | The World Wide Web Conference
Collaborative recommendation is effective at representing a user's overall interests and tastes, and finding peer users that can provide good recommendations. However, it remains a challenge to make collaborative recommendation sensitive to a user's ...
Today some of the most innovative creators & podcasters are launching social websites that will bring millions of their fans to the social web: verge.surf.social decoder.surf.social versionhistory.surf.social vergecast.surf.social wired.surf.social 404media.surf.social poweruser.surf.social
This is definitely my feeling working with them on recommendation algorithm.
Mark Riedl
Fascinating experiment: current AI systems lack creativity to reliably pursue research arxiv.org/abs/2607.27191 - poor judgment about the bar for publishable research - uncreative responses in research design - ineffective backtracking from dead ends - poor resource awareness - instruction drift
I'm building an alternative streaming option for artists called tracklist:// where they will be able to self-host their music catalog and stream it directly to fans. As musicians ourselves, our goal is to empower artists with connection. Sign up for our waitlist here; tracklist.diy
tracklist :// — music
www.tracklist.diy
Hearing Things
“It can be a little scary,” Hotline TNT frontman Will Anderson says of taking his music off Spotify, “but one of the things we’re trying to do is illustrate that it might not be as scary as you think.”
