Chingis Oinar
Chingis is a Machine Learning engineer at Mercari, Japan’s largest C2C marketplace. Chingis spearheads the development of features and the ongoing optimization of ML search ranking system, paying particular attention to model and feature de-biasing. Additionally, Chingis is designing and validating robust model evaluation metrics using implicit feedback. He is also building solutions that leverage machine learning embedding models for the enhancement of search feature development.
Mercari Inc.
Session
Key practical insights across dataset construction, custom metrics, model building, and model de-biasing techniques behind the success of our real-time AI search ranking system which drives significant business impact and now serves as a centerpiece of Mercari’s Search & Discovery platform.