Andrew Collins

According to our database, Andrew Collins authored at least 24 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Choice overload and recommendation effectiveness in related-article recommendations.

Felix Beierle, Akiko Aizawa, Andrew Collins, Joeran Beel

Int. J. Digit. Libr., 2020

Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering.

Andrew Collins, Laura Tierney, Joeran Beel

CoRR, 2020

Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal].

Joeran Beel, Bryan Tyrell, Edward Bergman, Andrew Collins, Shahad Nagoor

CoRR, 2020

2019

Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems.

Andrew Collins, Joeran Beel

CoRR, 2019

Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems.

Andrew Collins, Jöran Beel

CoRR, 2019

A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems.

Andrew Collins, Joeran Beel

Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation.

Andrew Collins, Jöran Beel

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Augmenting the DonorsChoose.org Corpus for Meta-Learning.

Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel

Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

RARD II: The 94 Million Related-Article Recommendation Dataset.

Joeran Beel, Barry Smyth, Andrew Collins

Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations.

Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth

Proceedings of the Advances in Information Retrieval, 2019

NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts.

Dominika Tkaczyk, Andrew Collins, Joeran Beel

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing.

Mark Grennan, Martin Schibel, Andrew Collins, Joeran Beel

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018

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

Jöran Beel, Andrew Collins, Akiko Aizawa

CoRR, 2018

Mr. DLib's Living Lab for Scholarly Recommendations.

Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth

CoRR, 2018

RARD II: The 2nd Related-Article Recommendation Dataset.

Jöran Beel, Barry Smyth, Andrew Collins

CoRR, 2018

One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level.

Andrew Collins, Jöran Beel, Dominika Tkaczyk

CoRR, 2018

A Study of Position Bias in Digital Library Recommender Systems.

Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel

CoRR, 2018

A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications.

Dominika Tkaczyk, Andrew Collins, Jöran Beel

CoRR, 2018

Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case.

Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel

CoRR, 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, Paraic Sheridan, Jöran Beel

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Who Did What?: Identifying Author Contributions in Biomedical Publications using Naïve Bayes.

Dominika Tkaczyk, Andrew Collins, Jöran Beel

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Position Bias in Recommender Systems for Digital Libraries.

Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel

Proceedings of the Transforming Digital Worlds - 13th International Conference, 2018

A Novel Approach to Recommendation Algorithm Selection using Meta-Learning.

Andrew Collins, Dominika Tkaczyk, Jöran Beel

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

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

Jöran Beel, Andrew Collins, Akiko Aizawa

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018