TubiFM unifies streaming discovery with Llama 3.2 1B model

Researchers have developed TubiFM, a new model that unifies item, carousel, and search ranking for streaming platforms. By representing user journeys as a single token sequence called "user stories," TubiFM leverages a Llama 3.2 1B base to perform next-token prediction for various discovery tasks. This approach significantly improves search and carousel viewing time while reducing latency and simplifying the overall ranking system. AI

IMPACT Unified discovery models like TubiFM can improve user engagement and reduce operational costs for streaming platforms.

RANK_REASON Academic paper detailing a new model and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

• arXiv
• Llama 3.2 1B
• TubiFM

• paper
• product
• infra

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