A Cloud-Based Software Architecture for a Course Recommender System

Main contribution of the paper is to design cloud architecture and validate that architecture via real example in university recommendation system. Paper investigates state of the art, goes briefly trough analysis and design process, continues with development and validation of the architecture and the results from the experiments. The architecture was developed with the idea of meeting the need for a high-performance and scalable recommender system, which eliminates the need to purchase and maintain expensive servers with large computing power. Additionally, a dataset for training the course recommendation model, sourced from the extensive data available on the Coursera platform, was created.