Web Content Recommendation Service
Technologies:AWS, Django, GO, Serverless, MongoDB, PostgreSQL, Pytorch, Scikit-Learn, Docker
Own Initiative
Start Date:February 1, 2022
End Date:March 31, 2023
Related to:Remaster Solutions, TUKE
This project involves creating a recommendation service for a Django web application with PostgreSQL, with a focus on minimizing the use of financial and computational resources. The system is optimized for deployment on the AWS cloud infrastructure and utilizes Golang Lambda functions for efficient processing. Data embedding is achieved using NLP algorithms, and recommendations are generated based on Chebyshev user-object vector similarity.
©Lubomir Gernath
2023-2025