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

Evaluations

In building a recommender, it’s common to ask the question, how well does it work?  Ultimately, you’ll only know when you release it live to users and measure it against your targets such as increasing sales or user activity.  It’s unlikely, however, that you’ll get it right first time round and you’ll want to be… Read More Evaluations

Discover the research community

Recommender systems have been around for decades, over which time a strong community of academic researchers and industry practitioners has emerged.  They invest a copious amount of time and energy into understanding the theory and practice of recommenders. As the recommender community grew, it got increasingly organised and created a series of conferences named The… Read More Discover the research community