Andrew Collins

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 25

Top Topics

Recommender Systems

Automatic Keyphrase Extraction

Top Venues

Publications

Joeran Beel, Bryan Tyrell, Edward Bergman, Andrew Collins, Shahad Nagoor
Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal]. CoRR (2020)
Andrew Collins, Laura Tierney, Joeran Beel
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering. CoRR (2020)
Felix Beierle, Akiko Aizawa, Andrew Collins, Joeran Beel
Choice overload and recommendation effectiveness in related-article recommendations. Int. J. Digit. Libr. 21 (3) (2020)
Andrew Collins, Joeran Beel
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. CoRR (2019)
Joeran Beel, Barry Smyth, Andrew Collins
RARD II: The 94 Million Related-Article Recommendation Dataset. AMIR@ECIR (2019)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations. ECIR (2) (2019)
Dominika Tkaczyk, Andrew Collins, Joeran Beel
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. CoRR (2019)
Andrew Collins, Jöran Beel
Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation. JCDL (2019)
Andrew Collins, Jöran Beel
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems. CoRR (2019)
Mark Grennan, Martin Schibel, Andrew Collins, Joeran Beel
GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing. AICS (2019)
Andrew Collins, Joeran Beel
A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. ComplexRec@RecSys (2019)
Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel
Augmenting the DonorsChoose.org Corpus for Meta-Learning. AMIR@ECIR (2019)
Dominika Tkaczyk, Andrew Collins, Joeran Beel
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. AICS (2019)
Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers. JCDL (2018)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
Mr. DLib's Living Lab for Scholarly Recommendations. CoRR (2018)
Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel
Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case. CoRR (2018)
Jöran Beel, Andrew Collins, Akiko Aizawa
The Architecture of Mr. DLib's Scientific Recommender-System API. CoRR (2018)
Jöran Beel, Andrew Collins, Akiko Aizawa
Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service. AICS (2018)
Andrew Collins, Dominika Tkaczyk, Jöran Beel
A Novel Approach to Recommendation Algorithm Selection using Meta-Learning. AICS (2018)
Andrew Collins, Jöran Beel, Dominika Tkaczyk
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level. CoRR (2018)
Dominika Tkaczyk, Andrew Collins, Jöran Beel
Who Did What?: Identifying Author Contributions in Biomedical Publications using Naïve Bayes. JCDL (2018)
Dominika Tkaczyk, Andrew Collins, Jöran Beel
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications. CoRR (2018)
Jöran Beel, Barry Smyth, Andrew Collins
RARD II: The 2nd Related-Article Recommendation Dataset. CoRR (2018)
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel
Position Bias in Recommender Systems for Digital Libraries. iConference (2018)
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel
A Study of Position Bias in Digital Library Recommender Systems. CoRR (2018)