We are aware of issues pertaining to MAS links being broken and are currently working on a solution. We apologize for any inconvenience this may cause.
Scholarly Article Recommendation as a Service
Babel is a platform for research in scholaraly article recommendation. Put succinctly, we are creating a platform to provide scholaraly article recommendations as a service, exposed as REST APIs, available for anyone in the world to use, free of charge.
Babel Demonstration Website - Our website to demonstrate how Babel can be used to easily build powerful tools. You are likely on it right now.
Firefox/Chrome Browser Plugins - These plugins augment Google Scholar, adding an icon to show when Babel has recommendations available for a paper. Click the icon to see Babel's recommendations. Will soon be on the store.
We built Babel to solve two issues researchers face when trying to develop new scholarly article recommendation algorithms:
Getting access to publication data is hard
Measuring efficacy of recommender systems is difficult
"... we conclude that it is currently not possible to determine which recommendation approaches for academic literature are the most promising. However, there is little value in the existence of more than 80 approaches if the best performing approaches are unknown." J. Beel, S. Langer, M. Genzmehr, B. Gipp, C. Breitinger, and A. Nürnberger, “Research Paper Recommender System Evaluation: A Quantitative Literature Survey,” RecSys, no. April, pp. 15–22, 2013.
Who is Babel for?
Scientists trying to create better recommendation algorithms for scholarly articles
People who need scholarly articles recommendations
Publishers, who want users to find related content
Developers, looking to build new tools to facilitate the scholarly process
Please contact us to discuss how we can add your recommender to Babel.
What's the deal with this site?
This site is a demonstration only, a way to show what could be built (and how to use the APIs we expose). Feel free to use it if you find it uself, and we may develop it further later, but keep in mind it is a demo. Things may break or not look right.
What is the price to use the service? This service is offered free of charges as part of a research project. All we ask is that you provide us with feedback that will help us improve the system.
Why can’t I find my paper? We may not have a dataset containing your work, or we haven't had a chance to add it yet, or our metadata might be messed up. We are adding more datasets all the time, and improving our metadata, so please check back regularly!
How often are the data updated? We plan on continually adding data as it because available for this research project.
Do you plan to incorporate other recommendation algorithms? Yes, we plan on adding other recommendation algorithms. Currently, we have two variants of our Eigenfactor Recommends algorithm (Classic and Expert), but are looking to add other recommenders. If you wish to test your algorithm on Babel please contact us.
Where can I find these recommendations? Currently recommendations are available from our demo website or via REST APIs. In the near future we hope to integrate our recommendation platform with publishers or other projects that have a need for scholarly article recommendations.