Yinglu Shao

Title: Yinglu Shao and Real-Time Issue Detection in Messaging

Introduction

Yinglu Shao is an inventor based in Centreville, Virginia, and works at Airbnb, Inc. His patent work addresses how machine learning can help identify potential issues during conversations between hosts and guests.

Latest Patents

Shao is associated with 1 patent, titled “Systems and Methods for Detecting Real-Time Issues in Guest-Host Messages Using Machine Learning Models.” The invention describes analyzing messages in a conversational thread with separate machine-learning models for guest issues and host issues. The models use message features to estimate the likelihood of an issue. When specified keywords appear and the relevant probability exceeds a predetermined threshold, the system can send an alert visible only to the guest or host, as appropriate.

Career Highlights

Shao’s listed work at Airbnb, Inc. connects his invention to digital tools for host-guest communication. The patent focuses on detecting potential problems as conversations unfold, rather than relying solely on issues being reported after the fact.

Collaborations

Shao’s listed coworkers include Zachary Barbitta and Morris Chuang. Their inclusion provides context about his professional network, though the available information does not specify their roles in the patent.

Conclusion

Yinglu Shao’s patent describes a targeted application of machine learning to guest-host messaging, using separate issue-detection models and private alerts to help surface potential problems in real time.