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Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia [article]

Joeran Beel and Akiko Aizawa and Corinna Breitinger and Bela Gipp
2017 arXiv   pre-print
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.  ...  Only a few other companies and organizations offer recommender-systems as-a-service for academia.  ... 
arXiv:1703.09108v2 fatcat:o7zbtobafnfb7nqwdcspbvdaxi

Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service

Jöran Beel, Andrew Collins, Akiko Aizawa
2018 Irish Conference on Artificial Intelligence and Cognitive Science  
In this paper, we introduce Mr. DLib's "Recommendations as-a-Service" (RaaS) API that allows operators of academic products to easily integrate a scholarly recommender system into their products. Mr.  ...  DLib can be integrated in just a few hours or days; creating an equivalent recommender system from scratch would require several months for an academic operator. Mr.  ...  DLib", a scholarly recommender-system as-a-service, previously [5] , [6] . Mr.  ... 
dblp:conf/aics/BeelCA18 fatcat:g6mcl4q5ybdgfbx45xuqqz3rbi

The Architecture of Mr. DLib's Scientific Recommender-System API [article]

Joeran Beel, Andrew Collins, Akiko Aizawa
2018 arXiv   pre-print
In this paper, we introduce Mr. DLib's "Recommendations as-a-Service" (RaaS) API that allows operators of academic products to easily integrate a scientific recommender system into their products.  ...  Mr. DLib generates recommendations for research articles but in the future, recommendations may include call for papers, grants, etc.  ...  DLib's architecture Data Partners Mr. DLib: Recommendations-as-a-Service (RaaS) RaaS Users (Organizations, which request related-article recommendations from Mr.  ... 
arXiv:1811.10364v1 fatcat:ev6rnqo3x5h7zncdbk6e3kqfki

Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them [Long Version] [article]

Joeran Beel, Siddharth Dinesh
2017 arXiv   pre-print
Research on recommender systems is a challenging task, as is building and operating such systems.  ...  In the past six years, we built three research-article recommender systems for digital libraries and reference managers, and conducted research on these systems.  ...  Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia. Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL). Beel, J., Gipp, B., Langer, S., & Breitinger, C. (2016).  ... 
arXiv:1704.00156v1 fatcat:izfdxcmmo5dhrpr4ddoxak6cqy

Annual Report 2017
国立情報学研究所 平成29年度(2017年度)年報

(RaaS) for Academia."  ...  DLib 29.6.15 29.7.31 相澤 彰子 COLLINS, Andrew Trinity College Dublin 修士 Evaluation of Research Paper Recommender Systems on Mr.  ... 
doi:10.20736/0000001218 fatcat:fybrqh7tifb3liogikv27kztca