Multi-Scale User Behavior Network for Entire Space Multi-Task Learning

no code implementations • 3 Aug 2022 • Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu

Modelling the user's multiple behaviors is an essential part of modern e-commerce, whose widely adopted application is to jointly optimize click-through rate (CTR) and conversion rate (CVR) predictions.

Multi-Task Learning Survival Analysis

Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation

no code implementations • 9 Feb 2022 • Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu

With the prevalence of live broadcast business nowadays, a new type of recommendation service, called live broadcast recommendation, is widely used in many mobile e-commerce Apps.

Retrieval