Real-Time Recommendation System for Online Shopping

During my internship, I developed a real-time recommendation system for online grocery shopping with a small team over three months. I achieved a search time of 0.05 milliseconds and a recall rate of 97% through rigorous stress testing. I optimized nearest neighbor search methods for the company’s hardware and utilized Microsoft SQL Server to retrieve product data, constructing a DNN model for recommendations. By refining nested code, I reduced processing time by 50% and designed data batch formats to resolve conflicts, enhancing overall performance.

Developed a recommendation system for online grocery shopping in 3 months with a small team of 2.
Conducted stress tests to reduce the search time to 0.05 milliseconds with a recall of 97%.
Retrieved product data with Microsoft SQL Server, reduced the processing time by 50% with modify the nested code.
Designed data batch formats to resolve data conflicts.

Research Note

The final presentation is unavaliable to the public due to the contract protection

Git and Azure

My company used Azure Storage for file control; therefore, I use Auzre and Git on a daily basis during my 3-months internship.

Research Ability

I have gained a deep understanding of the fundamental principles and logic involved in creating a video game.

Project Management

This fast-paced project lasted three months with a team of two and one manager. I gained essential project scheduling skills to ensure success within a short timeframe.