And for the bartender’s dilemma, lefta98.github.io considered whether to serve only the crowd favorites or give new creations a fair shot. His work on prior-weighted rating systems shows that balancing fairness and efficiency may be a key design decision for any platform. arxiv.org/pdf/2207.04369

@themiurgo.bsky.social from #Spotify added that perfect flavor: #SocialCohesion. He showed that recommendations aren’t just about personal taste, but also about the spark between sender and artist, which might serve a social zest that predicts what content gets loved. ojs.aaai.org/index.php/IC...

Behind the bar, @msaveski.bsky.social and @tiziano.bsky.social shook up the science of feed ranking with hands-on experiments, showing how the right blend of data and algorithms determines what content rises to the top of your feed in real time. socialmediafeed25.github.io

I will be attending too! Let’s connect!