Tencent Music Entertainment
Multimodal-model music recommendations
Tencent Music reported a record recommendation-driven streaming share after using its multimodal model
Problem
Tencent Music sought to improve music discovery and encourage listeners to consume more of its catalog.
Approach
The company applied a self-developed multimodal large model to its recommendations. In its full-year results announcement, it reported that recommendation-driven streams reached a record share.
Results
No published figures
Takeaway
Tencent Music did not disclose the share or its increase, so the size of the recommendation improvement remained unknown.
Categories
- Size
- Large enterprise
- Industry
- Media and entertainment
- Business function
- Production and quality
- Innovation type
- Product and service innovation
- AI technology
- Recommendation and personalization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Tencent Music said its self-developed multimodal large model improved recommendations. It reported a record share of recommendation-driven streams without giving a percentage or measured lift.
Full details are in the original sources.