11 citations · 49 across the 12 of their papers we have counts for
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cs.IR2019★ 1 cited
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
Andrew Collins, Joeran Beel
The effectiveness of recommender system algorithms varies in different real-world scenarios. It is difficult to choose a best algorithm for a scenario due to the quantity of algori…
cs.CL2019
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts
Dominika Tkaczyk, Andrew Collins, Joeran Beel
Information about the contributions of individual authors to scientific publications is important for assessing authors' achievements. Some biomedical publications have a short sec…
cs.IR2019★ 5 cited
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems
Andrew Collins, Joeran Beel
Many recommendation algorithms are available to digital library recommender system operators. The effectiveness of algorithms is largely unreported by way of online evaluation. We…