20. März 2018

New research features on Mendeley.com!

Mendeley’s Data Science team have been working to crack one of the hardest “big data” problems of all: How to recommend interesting articles that users might want to read? For the past six months they have been working to integrate 6 large data sets from 3 different platforms to create the basis for a recommender system. These data sets often contain tens of millions of records each, and represent different dimensions which can all be applied to the problem of understanding what a user is looking for, and providing them with a high-quality set of recommendations.