"MRS Research will focus on long-term AI research goals and publishing cutting-edge research to advance Meta's recommendation engine, described as a 'newly created org' that brings together world-class AI researchers and engineers to 'leapfrog' current AI recommendation systems."
"Yang Song, Meta's vice president of recommendation research, oversees the effort. He joined in November 2025 after heading user growth and recommendation at TikTok, expressing excitement over 'revolutionizing' Meta's recommendation systems with AI."
"The overall MRS division recently added former OpenAI researcher Xiaolong Wang and Google researcher Fei Sha to its team, indicating a strong push for top-tier AI talent to enhance Meta's capabilities."
Meta is establishing a team called MRS Research to optimize algorithms for its platforms, Facebook and Instagram. This team is part of the Meta Recommendation Systems division and aims to advance AI research and improve content visibility. MRS Research has attracted talent from TikTok and Amazon, focusing on long-term AI goals and publishing innovative research. The initiative reflects Meta's strategy to leverage AI for enhancing its advertising revenue. Key figures in this effort include Yang Song, Lihong Li, Xiaolong Wang, and Fei Sha.
Read at www.businessinsider.com
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