OneFeed: A Unified Generative Framework for Feed ContentEnhancement and Query Generation
Researchers have introduced OneFeed, a novel generative framework designed to unify feed recommendation and search systems. This framework jointly models feed content enhancement and query generation by encoding user behavior sequences with a shared encoder. OneFeed utilizes two generative heads: one for producing content semantic IDs for recommendation retrieval and another for generating natural-language queries for search. AI
IMPACT Introduces a unified approach to enhance search and recommendation systems using generative modeling.