Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia
Information Retrieval
2018-08-21 v2 Digital Libraries
Abstract
Only few digital libraries and reference managers offer recommender systems, although such systems could assist users facing information overload. In this paper, we introduce Mr. DLib's recommendations-as-a-service, which allows third parties to easily integrate a recommender system into their products. We explain the recommender approaches implemented in Mr. DLib (content-based filtering among others), and present details on 57 million recommendations, which Mr. DLib delivered to its partner GESIS Sowiport. Finally, we outline our plans for future development, including integration into JabRef, establishing a living lab, and providing personalized recommendations.
Keywords
Cite
@article{arxiv.1703.09108,
title = {Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia},
author = {Joeran Beel and Akiko Aizawa and Corinna Breitinger and Bela Gipp},
journal= {arXiv preprint arXiv:1703.09108},
year = {2018}
}
Comments
Accepted for publication at the JCDL conference 2017