Parish Aggarwal
Building LLM-based recommendation systems for ads at Meta
Parish Aggarwal works on LLM-based recommendation systems for advertising at Meta. His public biography describes product leadership across advertising, measurement, privacy and AI. He co-authored Meta’s GenRecs Tokenization publication.
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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.
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