Multi‑objective Optimization for Guaranteed Delivery in a Video Service Platform

The KDD 2020 paper from Alibaba Entertainment presents a differential‑equation‑based hot‑content exposure sensitivity model and a multi‑objective optimization framework that, under exposure‑resource constraints, guarantees video delivery by accounting for nonlinear content exposure, timing, strategies, and user click habits, now deployed on Youku.

KDD 2020differential equationsexposure modeling

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Multi‑objective Optimization for Guaranteed Delivery in a Video Service Platform

Youku Technology

May 18, 2020 · Artificial Intelligence

How Feature-Induced Manifold Disambiguation Improves Video Tagging in Multi-View Learning

The paper "Feature‑Induced Manifold Disambiguation for Multi‑view Partial Multi‑label Learning" accepted at KDD 2020 introduces the MVPML framework and the FIMAN method, which leverage heterogeneous multimodal features to correct and supplement video tags, thereby boosting distribution efficiency in Alibaba Entertainment’s platforms.

Alibaba EntertainmentKDD 2020manifold disambiguation

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How Feature-Induced Manifold Disambiguation Improves Video Tagging in Multi-View Learning