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Use CaseMarketingMedia & Entertainment / Media and publishing

Personalise media content recommendations

Use customer behaviour pattern data to predict and recommend media content that customers will want to consume. This may be further optimised to business imperative - for example what will enhance likelihood of subscription renewal rather than instantaneous gratification.

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Revenue
Revenue - Customer engagement
Description

Personalise media content recommendations

Linked Case Studies
Case Study
The Hollywood Reporter
The Hollywood Reporter increases website traffic and customer engagement by personalising auto-play video content using machine learning
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Case Study
Spotify
Spotify increased service subscribers by 33% through customised music recommendations
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Case Study
Toutiao
Bytedance ranks web content according to the preference of each user by analysing their behaviour using machine learning
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Case Study
Washington Post
Washington Post helps improve click-through rate by 95% on its story recommendations using machine learning
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Case Study
Netflix
Netflix reduces customer churn by several percentage points using machine learning to provide personalised video recommendations
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Case Study
Google YouTube
Google YouTube recommendation system uses human raters to train AI resulting in potential inappropriate content promotion
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Source: appliedai.com · Editor: original-sdg
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