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Author

Anne Schuth

Observed names: Schuth, A., Schuth, Anne
ORCID: 0000-0002-5841-2134
Observed ORCID: 0000-0002-5841-2134
OpenAlex ID: A5086449136
Effective Headlines of Newspaper Articles in a Digital Environment
2017 · Jeffrey Kuiken, Anne Schuth, et al. · Digital Journalism · 282
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Reusing historical interaction data for faster online learning to rank for IR
2013 · Katja Hofmann, Anne Schuth, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 130
Multileave Gradient Descent for Fast Online Learning to Rank
2016 · Anne Schuth, Harrie Oosterhuis, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 86
Multileaved Comparisons for Fast Online Evaluation
2014 · Anne Schuth, Floor Sietsma, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 83
Extracting the discussion structure in comments on news-articles
2007 · Anne Schuth, Maarten Marx, et al. · ACM International Workshop on Web Information and Data Management (WIDM) · 57
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Effects of Position Bias on Click-Based Recommender Evaluation
2014 · Katja Hofmann, Anne Schuth, et al. · Lecture notes in computer science · 42
Lerot
2013 · Anne Schuth, Katja Hofmann, et al. · 39
Predicting Search Satisfaction Metrics with Interleaved Comparisons
2015 · Anne Schuth, Katja Hofmann, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 38
Overview of the Living Labs for Information Retrieval Evaluation (LL4IR) CLEF Lab 2015
2015 · Anne Schuth, Krisztian Balog, et al. · Lecture notes in computer science · 32
Head First
2014 · Krisztian Balog, Liadh Kelly, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 32
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Probabilistic Multileave for Online Retrieval Evaluation
2015 · Anne Schuth, Robert-Jan Bruintjes, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 30
A Comparative Analysis of Interleaving Methods for Aggregated Search
2015 · Aleksandr Chuklin, Anne Schuth, et al. · ACM Transactions on Information Systems · 28
Understanding Multi-Head Attention in Abstractive Summarization
2019 · Baan, Joris, ter Hoeve, Maartje, et al. · arXiv (Cornell University) · 26
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"Learning to rank for information retrieval from user interactions" by K. Hofmann, S. Whiteson, A. Schuth, and M. de Rijke with Martin Vesely as coordinator
2014 · Katja Hofmann, Shimon Whiteson, et al. · ACM SIGWEB Newsletter · 26
Evaluating aggregated search using interleaving
2013 · Aleksandr Chuklin, Anne Schuth, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 24
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Probabilistic Multileave Gradient Descent
2016 · Harrie Oosterhuis, Anne Schuth, et al. · Lecture notes in computer science · 22
Do News Consumers Want Explanations for Personalized News Rankings?
2018 · Maartje ter Hoeve, Mathieu Heruer, et al. · 21
Overview of the INEX 2012 Linked Data Track
2012 · Wang, Q., Kamps, J., et al. · UvA-DARE (University of Amsterdam) · 20
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DutchParl. The Parliamentary Documents in Dutch
2010 · Maarten Marx, Anne Schuth · Language Resources and Evaluation Conference (LREC) · 20
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Faithfully Explaining Rankings in a News Recommender System
2018 · ter Hoeve, Maartje, Schuth, Anne, et al. · arXiv (Cornell University) · 18
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Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
2019 · Baan, Joris, ter Hoeve, Maartje, et al. · arXiv (Cornell University) · 16
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Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs
2019 · Frank Hopfgartner, Krisztian Balog, et al. · The Kluwer international series on information retrieval · 14
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Evaluation Methods for Rankings of Facetvalues for Faceted Search
2011 · Anne Schuth, Maarten Marx · Lecture notes in computer science · 13
Search Engines that Learn from Their Users
2016 · Anne Schuth · ACM SIGIR Forum · 12
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Optimizing Base Rankers Using Clicks
2014 · Anne Schuth, Floor Sietsma, et al. · Lecture notes in computer science · 10
Works count: 65
Citation count: 1,178
H-index: 19
I10-index: 25
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