VOD metadata recommendation that reads the viewing context
With KT Skylife, AIO2O developed a solution in which AI analyzes and creates VOD metadata to recommend content that suits each viewer.
- Client
- KT Skylife
- Industry
- Broadcasting and media
- Solution
- AI VOD metadata recommendation
- Period
- 2023–2024
Basic information was not enough to pick a VOD worth watching
As VOD libraries grow, viewers find it harder to find what they want. Basic information such as genre and cast is not enough to reflect mood or viewing situation in recommendations.
Recommendations that fit the viewing context, from AI-made metadata
- AI analyzes VOD titles and automatically creates metadata such as mood, subject and viewing situation.
- The metadata is used to select, recommend and curate content for each viewer.
- Earlier, AIO2O also developed an AI speech-recognition remote control with KT Skylife.
What changed
- From 2023 to 2024, AIO2O co-developed the AI VOD metadata recommendation solution with KT Skylife.
- This technology led to a partnership on a content recommendation solution based on automatic metadata generation for Vietnam's Pay-TV market.
Watch the video
The video is in Korean.
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