Carl Hu
ML Engineer at Meta, Ranking and Monetization
Carl Hu is a machine learning engineer working on ranking and monetization at Meta. He co-authored the GenRecs Tokenization research and shared the publication as his team’s work. His recorded contribution concerns data representations for advertising recommendation systems.
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Channels & websites1
Newsfeed1
Meta explains how GenRecs Tokenization helps ad recommendations learn across items
Meta published an engineering explanation of GenRecs Tokenization on 19 October. The work describes a more stable vocabulary for representing items in ad recommendations, helping models share information across related content instead of relying only on identifiers with little meaning outside a particular item.
Image: MetaThis is a collection of published credits and official links, not an exhaustive CV or a points total. A guest appearance is different from hosting a show. Community and event links identify the named organiser; they do not imply membership or a speaking appearance.