Andrew Collins

25 papers Journal 13Unranked 12
YearRankTypeTitle / Venue / Authors
2020 J jnl
Choice overload and recommendation effectiveness in related-article recommendations.
Int. J. Digit. Libr.
Felix Beierle, Akiko Aizawa, Andrew Collins, Joeran Beel
2020 J jnl
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering.
CoRR
Andrew Collins, Laura Tierney, Joeran Beel
2020 J jnl
Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal].
CoRR
Joeran Beel, Bryan Tyrell, Edward Bergman, Andrew Collins, Shahad Nagoor
2019 — conf
A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems.
ComplexRec@RecSys
Andrew Collins, Joeran Beel
2019 — conf
Augmenting the DonorsChoose.org Corpus for Meta-Learning.
AMIR@ECIR
Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel
2019 — conf
Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation.
JCDL
Andrew Collins, Jöran Beel
2019 J jnl
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems.
CoRR
Andrew Collins, Jöran Beel
2019 — conf
GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing.
AICS
Mark Grennan, Martin Schibel, Andrew Collins, Joeran Beel
2019 J jnl
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems.
CoRR
Andrew Collins, Joeran Beel
2019 — conf
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts.
AICS
Dominika Tkaczyk, Andrew Collins, Joeran Beel
2019 J jnl
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts.
CoRR
Dominika Tkaczyk, Andrew Collins, Joeran Beel
2019 — conf
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations.
ECIR (2)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
2019 — conf
RARD II: The 94 Million Related-Article Recommendation Dataset.
AMIR@ECIR
Joeran Beel, Barry Smyth, Andrew Collins
2018 J jnl
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications.
CoRR
Dominika Tkaczyk, Andrew Collins, Jöran Beel
2018 — conf
A Novel Approach to Recommendation Algorithm Selection using Meta-Learning.
AICS
Andrew Collins, Dominika Tkaczyk, Jöran Beel
2018 J jnl
A Study of Position Bias in Digital Library Recommender Systems.
CoRR
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel
2018 J jnl
Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case.
CoRR
Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel
2018 — conf
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers.
JCDL
Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel
2018 — conf
Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service.
AICS
Jöran Beel, Andrew Collins, Akiko Aizawa
2018 J jnl
Mr. DLib's Living Lab for Scholarly Recommendations.
CoRR
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
2018 J jnl
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level.
CoRR
Andrew Collins, Jöran Beel, Dominika Tkaczyk
2018 — conf
Position Bias in Recommender Systems for Digital Libraries.
iConference
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel
2018 J jnl
RARD II: The 2nd Related-Article Recommendation Dataset.
CoRR
Jöran Beel, Barry Smyth, Andrew Collins
2018 J jnl
The Architecture of Mr. DLib's Scientific Recommender-System API.
CoRR
Jöran Beel, Andrew Collins, Akiko Aizawa
2018 — conf
Who Did What?: Identifying Author Contributions in Biomedical Publications using Naïve Bayes.
JCDL
Dominika Tkaczyk, Andrew Collins, Jöran Beel