Jöran Beel

According to our database, Jöran Beel authored at least 101 papers between 2003 and 2024.

Collaborative distances:

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

2024

The Potential of AutoML for Recommender Systems.

Tobias Vente, Joeran Beel

CoRR, 2024

2023

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.

Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel

SIGIR Forum, June, 2023

Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML.

Lennart Purucker, Joeran Beel

CoRR, 2023

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.

Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit.

Tobias Vente, Michael D. Ekstrand, Joeran Beel

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.

Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos

Proceedings of the International Conference on Automated Machine Learning, 2023

CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure.

Lennart Oswald Purucker, Joeran Beel

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

CaMeLS: Cooperative Meta-Learning Service for Recommender Systems.

Lukas Wegmeth, Joeran Beel

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Estimating the Pruned Search Space Size of Subgroup Discovery.

Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

The 'Unreasonable' Effectiveness of Graphical User Interfaces for Recommender Systems.

Joeran Beel, Haley Dixon

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Time-dependent Evaluation of Recommender Systems.

Teresa Scheidt, Joeran Beel

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

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

Finite Group Equivariant Neural Networks for Games.

Oisín Carroll, Joeran Beel

CoRR, 2020

Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies.

Mohammed Al-Rawi, 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

Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora.

Mark Grennan, Joeran Beel

CoRR, 2020

Recommender-Systems.com: A Central Platform for the Recommender-System Community.

Joeran Beel

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization.

Rohan Anand, Joeran Beel

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 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

<i>AnnoMath TeX</i> - a formula identifier annotation recommender system for STEM documents.

Philipp Scharpf, Ian Mackerracher, Moritz Schubotz, Jöran Beel, Corinna Breitinger, Bela Gipp

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?

Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, Jöran Beel

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 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

Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection.

Jöran Beel, Alan Griffin, Conor O'Shea

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?

Jöran Beel, Victor Brunel

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Memory-Augmented Neural Networks for Machine Translation.

Mark Collier, Joeran Beel

Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 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

Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).

Joeran Beel, Lars Kotthoff

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

Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).

Jöran Beel, Lars Kotthoff

Proceedings of the Advances in Information Retrieval, 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

Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights.

Conor O'Sullivan, 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

Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football.

Nicholas Bonello, Joeran Beel, Séamus Lawless, Jeremy Debattista

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

ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing.

Dominika Tkaczyk, Paraic Sheridan, Jöran Beel

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

Implementing Neural Turing Machines.

Mark Collier, Jöran Beel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers.

Dominika Tkaczyk, Rohit Gupta, Riccardo Cinti, Jöran Beel

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

An Empirical Comparison of Syllabuses for Curriculum Learning.

Mark Collier, 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

2017

Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage.

Bela Gipp, Norman Meuschke, Jöran Beel, Corinna Breitinger

Bull. IEEE Tech. Comm. Digit. Libr., 2017

RARD: The Related-Article Recommendation Dataset.

Jöran Beel, Zeljko Carevic, Johann Schaible, Gábor Neusch

D Lib Mag., 2017

It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal].

Jöran Beel

CoRR, 2017

Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia.

Jöran Beel, Bela Gipp, Akiko Aizawa

CoRR, 2017

Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them [Long Version].

Jöran Beel, Siddharth Dinesh

CoRR, 2017

Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps.

Jöran Beel

CoRR, 2017

CryptSubmit: Introducing Securely Timestamped Manuscript Submission and Peer Review Feedback Using the Blockchain.

Bela Gipp, Corinna Breitinger, Norman Meuschke, Jöran Beel

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia.

Jöran Beel, Akiko Aizawa, Corinna Breitinger, Bela Gipp

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Stereotype and Most-Popular Recommendations in the Digital Library Sowiport.

Jöran Beel, Siddharth Dinesh, Philipp Mayr, Zeljko Carevic, Raghvendra Jain

Proceedings of the Everything Changes, 2017

Apache Lucene as Content-Based-Filtering Recommender System: 3 Lessons Learned.

Stefan Langer, Jöran Beel

Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), 2017

Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef.

Stefan P. Feyer, Sophie Siebert, Bela Gipp, Akiko Aizawa, Jöran Beel

Proceedings of the Advances in Information Retrieval, 2017

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries.

Felix Beierle, Akiko Aizawa, Jöran Beel

Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), 2017

Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them.

Jöran Beel, Siddarth Dinesh

Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), 2017

2016

Towards reproducibility in recommender-systems research.

Jöran Beel, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, Bela Gipp

User Model. User Adapt. Interact., 2016

Research-paper recommender systems: a literature survey.

Jöran Beel, Bela Gipp, Stefan Langer, Corinna Breitinger

Int. J. Digit. Libr., 2016

Stability Evaluation of Event Detection Techniques for Twitter.

Andreas Weiler, Jöran Beel, Bela Gipp, Michael Grossniklaus

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015

Towards effective research-paper recommender systems and user modeling based on mind maps.

Jöran Beel

PhD thesis, 2015

Exploring the Potential of User Modeling Based on Mind Maps.

Jöran Beel, Stefan Langer, Georgia M. Kapitsaki, Corinna Breitinger, Bela Gipp

Proceedings of the User Modeling, Adaptation and Personalization, 2015

A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems.

Jöran Beel, Stefan Langer

Proceedings of the Research and Advanced Technology for Digital Libraries, 2015

2014

The Architecture and Datasets of Docear's Research Paper Recommender System.

Jöran Beel, Stefan Langer, Bela Gipp, Andreas Nürnberger

D Lib Mag., 2014

Utilizing Mind-Maps for Information Retrieval and User Modelling.

Jöran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

2013

Research paper recommender system evaluation: a quantitative literature survey.

Jöran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp, Corinna Breitinger, Andreas Nürnberger

Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, 2013

A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation.

Jöran Beel, Marcel Genzmehr, Stefan Langer, Andreas Nürnberger, Bela Gipp

Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, 2013

Evaluation of header metadata extraction approaches and tools for scientific PDF documents.

Mario Lipinski, Kevin Yao, Corinna Breitinger, Jöran Beel, Bela Gipp

Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

Introducing Docear's research paper recommender system.

Jöran Beel, Stefan Langer, Marcel Genzmehr, Andreas Nürnberger

Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

Docear's PDF inspector: title extraction from PDF files.

Jöran Beel, Stefan Langer, Marcel Genzmehr, Christoph Müller

Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

Docear4Word: reference management for microsoft word based on BibTeX and the citation style language (CSL).

Jöran Beel, Marcel Genzmehr, Stefan Langer

Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

The Impact of Demographics (Age and Gender) and Other User-Characteristics on Evaluating Recommender Systems.

Jöran Beel, Stefan Langer, Andreas Nürnberger, Marcel Genzmehr

Proceedings of the Research and Advanced Technology for Digital Libraries, 2013

Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times.

Jöran Beel, Stefan Langer, Marcel Genzmehr, Andreas Nürnberger

Proceedings of the Research and Advanced Technology for Digital Libraries, 2013

Sponsored vs. Organic (Research Paper) Recommendations and the Impact of Labeling.

Jöran Beel, Stefan Langer, Marcel Genzmehr

Proceedings of the Research and Advanced Technology for Digital Libraries, 2013

2011

Comparative evaluation of text- and citation-based plagiarism detection approaches using guttenplag.

Bela Gipp, Norman Meuschke, Jöran Beel

Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Introducing Mr. DLib, : a machine-readable digital library.

Jöran Beel, Bela Gipp, Stefan Langer, Marcel Genzmehr, Erik Wilde, Andreas Nürnberger, Jim Pitman

Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Docear: an academic literature suite for searching, organizing and creating academic literature.

Jöran Beel, Bela Gipp, Stefan Langer, Marcel Genzmehr

Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

An exploratory analysis of mind maps.

Jöran Beel, Stefan Langer

Proceedings of the 2011 ACM Symposium on Document Engineering, 2011

2010

Retrieving Data from Mind Maps to Enhance Search Applications.

Jöran Beel

Bull. IEEE Tech. Comm. Digit. Libr., 2010

Link analysis in mind maps: a new approach to determining document relatedness.

Jöran Beel, Bela Gipp

Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication, 2010

Citation based plagiarism detection: a new approach to identify plagiarized work language independently.

Bela Gipp, Jöran Beel

Proceedings of the HT'10, 2010

Enhancing search applications by utilizing mind maps.

Jöran Beel, Bela Gipp

Proceedings of the HT'10, 2010

On the robustness of google scholar against spam.

Jöran Beel, Bela Gipp

Proceedings of the HT'10, 2010

Link Proximity Analysis - Clustering Websites by Examining Link Proximity.

Bela Gipp, Adriana Taylor, Jöran Beel

Proceedings of the Research and Advanced Technology for Digital Libraries, 2010

SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size).

Jöran Beel, Bela Gipp, Ammar Shaker, Nick Friedrich

Proceedings of the Research and Advanced Technology for Digital Libraries, 2010

2009

Google Scholar's Ranking Algorithm: The Impact of Citation Counts (An Empirical Study).

Jöran Beel, Bela Gipp

Proceedings of the Third IEEE International Conference on Research Challenges in Information Science, 2009

Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study).

Jöran Beel, Bela Gipp

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

Information retrieval on mind maps - what could it be good for?

Jöran Beel, Bela Gipp, Jan-Olaf Stiller

Proceedings of the 5th International Conference on Collaborative Computing: Networking, 2009

2008

The Potential of Collaborative Document Evaluation for Science.

Jöran Beel, Bela Gipp

Proceedings of the Digital Libraries: Universal and Ubiquitous Access to Information, 2008

2007

ePassport - The World's New Electronic Passport: A Report about the ePassport's Benefits, Risks and its Security.

Bela Gipp, Jöran Beel, Ivo Rössling

CreateSpace Independent Publishing Platform, ISBN: 978-1-434-82318-2, 2007

2005

ePass - der neue biometrische Reisepass: Eine Analyse der Datensicherheit, des Datenschutzes sowie der Chancen und Risiken.

Jöran Beel, Bela Gipp

Shaker, ISBN: 978-3-8322-4693-8, 2005

2003

Ortung von mobilen Geräten für die Realisierung lokationsbasierter Diensten.

Felix Alcalá, Jöran Beel, Arne Frenkel, Bela Gipp, Johannes Lülf, Hagen Höpfner

Proceedings of the Mobilität und Informationssysteme, 2003