Click-through Rate Prediction for Online Ads
This project focused on improving the Click-through Rate (CTR) predictor at Knorex, a core element in optimizing ad campaign performance for advertisers. By utilizing model calibration and continual learning, I enhanced the accuracy and adaptability of the CTR prediction system. Due to the confidential nature of the work, specific details of the implementation will not be discussed. This result achieved a significant improvement in revenue and performance of the platform, which was highlighted on the official company website.
Oct 1, 2023
Multi people tracking in multiple views
Introduction In this project, I developed a system for tracking multiple individuals across multiple camera views, both overlapping and non-overlapping. The aim was to create a reliable solution for real-time tracking of people, which could be applied in various scenarios like public safety and surveillance. This showcase highlights the key results and methods used, focusing on the overall outcomes and the system’s capability, rather than the specific implementation details.
Jul 30, 2020