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recommendation systems

topic1 events
papersSEP 10 04:00 UTC

Dear Algo paper describes agentic intent layer for unified search and recommendation on Threads

A new arXiv paper introduces Dear Algo, a system deployed on Threads that sits between open-ended user requests and the platform's ranking engines. It lets people steer discovery with free-form instructions such as 'more NBA news' or 'less politics', translating them into precise signals that shape both search results and recommendations. The authors outline how the intent layer is designed to handle this shared discovery objective across the two systems.

agents/search/recommendation/personalization