A State Transition Model for Mobile Notifications via Survival Analysis

no code implementations • 7 Jul 2022 • Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Romer Rosales

In particular, we provide an online use case on notification delivery time optimization to show how we make better decisions, drive more user engagement, and provide more value to users.

Decision Making Survival Analysis

Multi-objective Optimization of Notifications Using Offline Reinforcement Learning

no code implementations • 7 Jul 2022 • Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan

Mobile notification systems play a major role in a variety of applications to communicate, send alerts and reminders to the users to inform them about news, events or messages.

Q-Learning reinforcement-learning +1

Offline Reinforcement Learning for Mobile Notifications

no code implementations • 4 Feb 2022 • Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar

Mobile notification systems have taken a major role in driving and maintaining user engagement for online platforms.

Attribute Recommendation Systems +2

Feedback Shaping: A Modeling Approach to Nurture Content Creation

no code implementations • 21 Jun 2021 • Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee

In this work, we propose a modeling approach to predict how feedback from content consumers incentivizes creators.

Recommendation Systems