News Recommendation: the challenging area in building recommendation systems

Remember our whitepaper “Guide to Recommendation Systems. Implementation of Machine Learning in Business” from the middle of last year? Our data scientist, Michal Stawikowski, did an excellent job of giving you a cross-sectional overview of the issues related to recommender systems. In his paper, we analyzed the issue from both the business side and dived into the technical details. We also presented an example of a four-step recommender system, where in successive steps the results are retrieved, filtered, scanned and sorted. You can also find out what QuickStart ML Blueprints are and how they can help data scientists and engineers with building recommendation systems. Download the white paper here.

Personalised news recommendation systems