JOYY
Proprietary moderation and recommendation models on Bigo Live
JOYY said its own recommendation model on Bigo Live lifted average viewing time 2.1% in one quarter
Problem
Bigo Live is a livestreaming platform that must screen large volumes of live content and keep viewers watching. JOYY did not describe the baseline in its release.
Approach
In Q4 2024 JOYY introduced a multimodal content-moderation model, fine-tuned on scenario-specific data and built with third-party large models. It also ran a proprietary AI model that analyzes very long sequences of user behavior to refine recommendations.
Results
Takeaway
JOYY credited the viewing-time gain to the recommendation model together with better content and viewing features, so the model's own share is unknown.
Categories
- Size
- Large enterprise
- Industry
- Technology and telecom
- Business function
- Production and qualityMarketing and sales
- Innovation type
- Process innovationProduct and service innovation
- AI technology
- Generative AIRecommendation and personalization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
JOYY's full-year 2024 earnings release says Bigo Live introduced a multimodal moderation model in Q4 and used a proprietary model on long user behavior sequences for recommendations. It reports a 2.1% quarterly rise in average viewing time per user. It gives no moderation figures.
Full details are in the original sources.