Kris Jack, Ed Ingold and Maya Hristakeva. Introduction Mendeley Suggest, a personalised research literature recommender, has been live for around nine months so we thought we’d mark this traditional human gestation period with a blog post about its architecture. We’ll present how the architecture currently looks, pointing out which technologies we use, justifying decisions that… Read More Mendeley Suggest Architecture
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
This is the fourth in a multi-part post. In the first post, we introduced the main types of recommender algorithms by providing a cheatsheet for them. In the second post, we covered the different types of collaborative filtering algorithms highlighting some of their nuances and how they differ from one another. In the third post,… Read More Overview of Recommender Algorithms – Part 4
This is the second in a multi-part post. In the first post, we introduced the main types of recommender algorithms by providing a cheatsheet for them. In this post, we’ll describe collaborative filtering algorithms in more detail and discuss their pros and cons in order to give a deeper understanding for how they work. Collaborative… Read More Overview of Recommender Algorithms – Part 2
Choosing the right algorithm for your recommender is an important decision to make. There are a lot of algorithms available and it can be difficult to tell which one is appropriate for the problem you’re trying to solve. Each algorithm has its pros and cons as well as constraints that you would want to have… Read More Overview of Recommender Algorithms – Part 1
