Content Recommendation System - Machine learning helps recommend journalism to users (Round 4)
Summary
This project will develop a content recommendation system using machine learning. The system will be capable of learning and adapting based on user behaviour, following journalist-set directives and innovate new trust-building methods.
The solution
In digital news media, efficient targeting of the right user with the right content and at the right time increases the likelihood of that user subscribing. Doing this in a trustworthy and transparent way, without creating a filter bubble, is challenging. This project will use machine learning to help recommend journalistic content. As a result, the digital news media users will experience a highly improved level of service.