Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service. - Jöran Beel; Andrew Collins 002; Akiko Aizawa (AICS, 2018)

A Novel Approach to Recommendation Algorithm Selection using Meta-Learning. - Andrew Collins 002; Dominika Tkaczyk; Jöran Beel (AICS, 2018)

Position Bias in Recommender Systems for Digital Libraries. - Andrew Collins 002; Dominika Tkaczyk; Akiko Aizawa; Jöran Beel (iConference, 2018)

Who Did What?: Identifying Author Contributions in Biomedical Publications using Naïve Bayes. - Dominika Tkaczyk; Andrew Collins 002; Jöran Beel (JCDL, 2018)

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers. - Dominika Tkaczyk; Andrew Collins 002; Paraic Sheridan; Jöran Beel (JCDL, 2018)

Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case. - Dominika Tkaczyk; Andrew Collins 002; Paraic Sheridan; Jöran Beel (CoRR, 2018)

A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications. - Dominika Tkaczyk; Andrew Collins 002; Jöran Beel (CoRR, 2018)

A Study of Position Bias in Digital Library Recommender Systems. - Andrew Collins 002; Dominika Tkaczyk; Akiko Aizawa; Jöran Beel (CoRR, 2018)

One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level. - Andrew Collins 002; Jöran Beel; Dominika Tkaczyk (CoRR, 2018)

RARD II: The 2nd Related-Article Recommendation Dataset. - Jöran Beel; Barry Smyth; Andrew Collins 002 (CoRR, 2018)

Mr. DLib's Living Lab for Scholarly Recommendations. - Jöran Beel; Andrew Collins 002; Oliver Kopp; Linus W. Dietz; Petr Knoth (CoRR, 2018)

The Architecture of Mr. DLib's Scientific Recommender-System API. - Jöran Beel; Andrew Collins 002; Akiko Aizawa (CoRR, 2018)

GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing. - Mark Grennan; Martin Schibel; Andrew Collins 002; Joeran Beel (AICS, 2019)

NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. - Dominika Tkaczyk; Andrew Collins 002; Joeran Beel (AICS, 2019)

Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations. - Jöran Beel; Andrew Collins 002; Oliver Kopp; Linus W. Dietz; Petr Knoth (ECIR (2), 2019)

RARD II: The 94 Million Related-Article Recommendation Dataset. - Joeran Beel; Barry Smyth; Andrew Collins 002 (AMIR@ECIR, 2019)

Augmenting the DonorsChoose.org Corpus for Meta-Learning. - Gordian Edenhofer; Andrew Collins 002; Akiko Aizawa; Joeran Beel (AMIR@ECIR, 2019)

Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation. - Andrew Collins 002; Jöran Beel (JCDL, 2019)

A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. - Andrew Collins 002; Joeran Beel (ComplexRec@RecSys, 2019)

Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems. - Andrew Collins 002; Jöran Beel (CoRR, 2019)

Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. - Andrew Collins 002; Joeran Beel (CoRR, 2019)

Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal]. - Joeran Beel; Bryan Tyrell; Edward Bergman; Andrew Collins 002; Shahad Nagoor (CoRR, 2020)

Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering. - Andrew Collins 002; Laura Tierney; Joeran Beel (CoRR, 2020)

Choice overload and recommendation effectiveness in related-article recommendations. - Felix Beierle; Akiko Aizawa; Andrew Collins 002; Joeran Beel (Int. J. Digit. Libr., 2020)