Mr. DLib's Living Lab for Scholarly Recommendations [article]

Joeran Beel and Andrew Collins and Oliver Kopp and Linus Dietz and Petr Knoth
2018 arXiv   pre-print
We introduce the first living lab for scholarly recommender systems. This lab allows recommender-system researchers to conduct online evaluations of their novel algorithms for scholarly recommendations, i.e., research papers, citations, conferences, research grants etc. Recommendations are delivered through the living lab's API in platforms such as reference management software and digital libraries. The living lab is built on top of the recommender system as-a-service Mr. DLib. Current
more » ... are the reference management software JabRef and the CORE research team. We present the architecture of Mr. DLib's living lab as well as usage statistics on the first ten months of operating it. During this time, 970,517 recommendations were delivered with a mean click-through rate of 0.22%.
arXiv:1807.07298v1 fatcat:kcnskwx6gzaanexdd6ouzjcmb4