Artificial Intelligence 2 min read

Key Technologies for Entertainment Content Flow Management: Multi-Task Guarantee Optimization Algorithm Practice

The presentation explains how a multi‑task guarantee optimization algorithm—illustrated with Youku’s new hot series—builds an exposure‑sensitivity model to allocate limited video‑placement resources across homepage and channel slots, overcoming manual rule limitations and simultaneously maximizing play counts while satisfying diverse scenario and content objectives.

Youku Technology
Youku Technology
Youku Technology
Key Technologies for Entertainment Content Flow Management: Multi-Task Guarantee Optimization Algorithm Practice

Today’s sharing topic (accepted by KDD2020): “Key Technologies for Entertainment Content Flow Management—Multi-Task Guarantee Optimization Algorithm Practice”.

Guarantee strategies are crucial for video content. New videos need increased exposure to maximize play counts, but overall exposure resources across scenarios (homepage, channel page, etc.) are limited, and each slot has a daily exposure cap, leading to competition for exposure resources.

Traditional manual allocation rules struggle to balance multiple objectives. This talk uses the example of Youku’s new hot series to demonstrate how building an exposure sensitivity model for content can optimize exposure allocation, achieving efficient resource utilization while meeting scenario and content goals.

Algorithmmulti-task learningcontent optimizationexposure allocationKDD2020
Youku Technology
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Youku Technology

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