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Mendeley Suggest

November 13, 2015

New version of Mendeley Suggest has been released. It’s in Beta so please do give feedback!

A Practical Guide to Building Recommender Systems

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 your personal library in Mendeley.  These recommendations are very good for me, as much of my recent work has been on recommender systems.

Recommendations based on all articles in your personal Mendeley library Recommendations based on all articles in your personal Mendeley library

The second set of recommendations is based on activity in Mendeley’s community.  It recommends articles that are important in your domain but not necessarily related to your immediate interests.  It’s a nice tool for helping researchers to keep up-to-date with position papers and reviews that have made an impact in your broader domain which, in my case, is Computer Science.

Recommendations of important articles being read by Mendeley's community for a domain Recommendations…

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