Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

no code implementations • 27 Jan 2020 • Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen

With the explosive growth of online products and content, recommendation techniques have been considered as an effective tool to overcome information overload, improve user experience, and boost business revenue.

Knowledge Distillation Multi-Task Learning +2

Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games

no code implementations • 14 Jan 2019 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

In this paper, we present the first large-scale churn analysis for mobile games that supports both micro-level churn prediction and macro-level churn ranking.

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Streaming Network Embedding through Local Actions

no code implementations • 14 Nov 2018 • Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen

Thus the approach of adapting the existing methods to the streaming environment faces non-trivial technical challenges.

Clustering Multi-class Classification +1

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

no code implementations • 20 Aug 2018 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

To evaluate the performance of our solution, we collect real-world data from the Samsung Game Launcher platform that includes tens of thousands of games and hundreds of millions of user-app interactions.

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