Overview of Recommender Algorithms – Part 5

This is the final part in a five part series on overviewing recommender algorithms. In the first post, we introduced the main types of recommender algorithms by providing a cheatsheet for them. In the second, we covered the different types of collaborative filtering algorithms highlighting some of their nuances and how they differ from one… Read More Overview of Recommender Algorithms – Part 5

Recommender Systems in Netflix

Netflix is a company that demonstrates how to successfully commercialise recommender systems.  Netflix manages a large collections of movies and television programmes, making the content available to users at any time by streaming them directly to their computer/television.  It’s a very profitable company that makes its money through monthly user subscriptions.  Users can cancel their… Read More Recommender Systems in Netflix

Mendeley Suggest

Mendeley Suggest is an article recommender system for researchers.  It’s designed to help them discover new research based on their short and long term interests and to keep them up-to-date with what’s popular and trending in their domains. The first set of recommendations is based on all of the articles that you have added to… Read More Mendeley Suggest