Dark | Light
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

[@xamat](/creator/twitter/xamat)
"I was honored to deliver the keynote at the ACM #RecSys in Prague last month My talk "Recommending in the Age of AI" was a personal look at the evolution of the field and where we're heading next. We've come a long way from the early days of MovieLens and the Netflix Prize. In my presentation I explored: ➡ The Journey So Far: A brief history of recommender systems intertwined with the history of AI. I discussed how our focus has evolved from optimizing for simple ratings to tackling complex ranking page optimization and context-aware problems. ➡ It's Not Just the Algorithm: I emphasized a"  
[X Link](https://x.com/xamat/status/1980486805461028893) [@xamat](/creator/x/xamat) 2025-10-21T04:10Z 23K followers, XXX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@xamat "I was honored to deliver the keynote at the ACM #RecSys in Prague last month My talk "Recommending in the Age of AI" was a personal look at the evolution of the field and where we're heading next. We've come a long way from the early days of MovieLens and the Netflix Prize. In my presentation I explored: ➡ The Journey So Far: A brief history of recommender systems intertwined with the history of AI. I discussed how our focus has evolved from optimizing for simple ratings to tackling complex ranking page optimization and context-aware problems. ➡ It's Not Just the Algorithm: I emphasized a"
X Link @xamat 2025-10-21T04:10Z 23K followers, XXX engagements

creator/twitter::9316452/posts
/creator/twitter::9316452/posts