Elisabeth Lex

172 papers A* 9A 15B 9C 4Misc 1Journal 75Unranked 54
YearRankTypeTitle / Venue / Authors
2026 — conf
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks.
ECIR (3)
Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex
2026 J jnl
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks.
CoRR
Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex
2026 — ed.
Recommender Systems for Sustainability and Social Good - Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings
RecSoGood@RecSys
Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Noemi Mauro, Francesca Maridina Malloci, Francesco Ricci
2025 — ed.
Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers
BIAS
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2025 — conf
Differentiable Fuzzy Neural Networks for Recommender Systems.
UMAP (Adjunct Publication)
Stephan Bartl, Kevin Innerebner, Elisabeth Lex
2025 J jnl
Differentiable Fuzzy Neural Networks for Recommender Systems.
CoRR
Stephan Bartl, Kevin Innerebner, Elisabeth Lex
2025 — conf
Graph Queries from Natural Language Using Constrained Language Models and Visual Editing.
ICKG
Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
2025 J jnl
Graph Queries from Natural Language using Constrained Language Models and Visual Editing.
CoRR
Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
2025 — conf
Hybrid AI for Human-Centric Personalization (HyPer).
UMAP (Adjunct Publication)
Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl
2025 — conf
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R.
UMAP (Adjunct Publication)
Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025 J jnl
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R.
CoRR
Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025 A* conf
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025).
SIGIR
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2025 — conf
Mind the Gap: Urban-Rural Disparities in Wheelchair Accessibility for POI Recommendations.
RecSoGood@RecSys
Gregor Mayr, Markus Reiter-Haas, Elisabeth Lex
2025 A* conf
OnSET: Ontology and Semantic Exploration Toolkit.
SIGIR
Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
2025 J jnl
OnSET: Ontology and Semantic Exploration Toolkit.
CoRR
Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
2025 A* conf
Psychological Aspects in Retrieval and Recommendation.
SIGIR
Markus Schedl, Elisabeth Lex, Marko Tkalcic
2025 — ed.
Recommender Systems for Sustainability and Social Good - First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings
RecSoGood@RecSys
Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci
2025 A conf
Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025).
RecSys
Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesca Maridina Malloci, Noemi Mauro, Francesco Ricci
2025 J jnl
The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models.
Frontiers Big Data
Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex
2025 J jnl
Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit.
CoRR
Markus Reiter-Haas, Elisabeth Lex
2024 J jnl
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks.
Frontiers Big Data
Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2024 — conf
Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations.
Text2Story@ECIR
Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024 J jnl
Differential privacy in collaborative filtering recommender systems: a review.
Frontiers Big Data
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024 A conf
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024).
RecSys
Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci
2024 B conf
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines.
CHIIR
Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024 J jnl
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media.
CoRR
Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2024 Misc conf
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System.
SEC
Shibam Mukherjee, Roman Walch, Fredrik Meisingseth, Elisabeth Lex, Christian Rechberger
2024 J jnl
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System.
CoRR
Shibam Mukherjee, Roman Walch, Fredrik Meisingseth, Elisabeth Lex, Christian Rechberger
2024 A* conf
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS).
SIGIR
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2024 — conf
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.
ECML/PKDD (7)
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024 J jnl
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.
CoRR
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024 A conf
Psychology-informed Information Access Systems Workshop.
WSDM
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
2024 J jnl
Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024.
SIGIR Forum
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2024 — conf
The Framing Loop: Do Users Repeatedly Read Similar Framed News Online?
IUI Workshops
Markus Reiter-Haas, Elisabeth Lex
2024 — conf
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias.
ECIR (4)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024 J jnl
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias.
CoRR
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024 — conf
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives.
UMAP (Adjunct Publication)
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
2023 — conf
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations.
BIAS
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023 J jnl
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations.
CoRR
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023 J jnl
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks.
CoRR
Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2023 A* conf
Computational Versus Perceived Popularity Miscalibration in Recommender Systems.
SIGIR
Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2023 J jnl
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines.
CoRR
Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex
2023 A conf
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation.
RecSys
Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
2023 J jnl
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations.
ACM Trans. Intell. Syst. Technol.
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2023 A conf
Trustworthy Algorithmic Ranking Systems.
WSDM
Markus Schedl, Emilia Gómez, Elisabeth Lex
2023 — conf
Trustworthy Recommender Systems.
HCI-SI
Elisabeth Lex
2023 A conf
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives.
RecSys
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
2023 — conf
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection.
SemEval@ACL
Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
2023 J jnl
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection.
CoRR
Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 A* conf
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks.
ICDM
Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern
2022 J jnl
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks.
CoRR
Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern
2022 — conf
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
MORS@RecSys
Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022 — conf
Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research.
UMAP (Adjunct Publication)
Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz, Elisabeth Greif
2022 A conf
Psychology-informed Recommender Systems Tutorial.
RecSys
Elisabeth Lex, Markus Schedl
2022 B conf
Psychology-informed Recommender Systems: A Human-Centric Perspective on Recommender Systems.
CHIIR
Elisabeth Lex, Markus Schedl
2022 A* conf
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation.
SIGIR
Markus Schedl, Emilia Gómez, Elisabeth Lex
2022 J jnl
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations.
CoRR
Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
2022 — conf
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms.
ISMIR
Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2021 A conf
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
RecSys
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 J jnl
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
CoRR
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 J jnl
Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum.
CoRR
Tomislav Duricic, Volker Seiser, Elisabeth Lex
2021 J jnl
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos.
Frontiers Artif. Intell.
Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev
2021 A conf
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21).
RecSys
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
2021 — conf
Keynote 7.
SDS
Elisabeth Lex
2021 B conf
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music.
ASONAM
Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021 J jnl
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music.
CoRR
Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021 J jnl
Position Paper on Simulating Privacy Dynamics in Recommender Systems.
CoRR
Peter Müllner, Elisabeth Lex, Dominik Kowald
2021 A conf
Predicting Music Relistening Behavior Using the ACT-R Framework.
RecSys
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021 J jnl
Predicting Music Relistening Behavior Using the ACT-R Framework.
CoRR
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021 — ed.
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021.
IntRS@RecSys
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
2021 J jnl
Psychology-informed Recommender Systems.
Found. Trends Inf. Retr.
Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
2021 — conf
Psychology-informed recommender systems.
FMEC
Elisabeth Lex
2021 — conf
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints.
ECIR (2)
Peter Müllner, Dominik Kowald, Elisabeth Lex
2021 J jnl
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints.
CoRR
Peter Müllner, Dominik Kowald, Elisabeth Lex
2021 — conf
Structack: Structure-based Adversarial Attacks on Graph Neural Networks.
HT
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern
2021 J jnl
Structack: Structure-based Adversarial Attacks on Graph Neural Networks.
CoRR
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern
2021 A conf
Studying Moral-based Differences in the Framing of Political Tweets.
ICWSM
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2021 J jnl
Studying Moral-based Differences in the Framing of Political Tweets.
CoRR
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2021 J jnl
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners.
CoRR
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021 J jnl
Support the underground: characteristics of beyond-mainstream music listeners.
EPJ Data Sci.
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021 J jnl
The interplay between communities and homophily in semi-supervised classification using graph neural networks.
Appl. Netw. Sci.
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Roman Kern
2020 C conf
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.
ISMIS
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020 J jnl
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.
CoRR
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020 J jnl
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes.
Frontiers Artif. Intell.
Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020 J jnl
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes.
CoRR
Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020 J jnl
Modeling Popularity and Temporal Drift of Music Genre Preferences.
Trans. Int. Soc. Music. Inf. Retr.
Elisabeth Lex, Dominik Kowald, Markus Schedl
2020 — conf
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks.
COMPLEX NETWORKS (2)
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic
2020 J jnl
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks.
CoRR
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic
2020 — conf
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.
ECIR (2)
Dominik Kowald, Markus Schedl, Elisabeth Lex
2020 J jnl
Using autoencoders for session-based job recommendations.
User Model. User Adapt. Interact.
Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex
2020 J jnl
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations.
CoRR
Dominik Kowald, Elisabeth Lex, Markus Schedl
2019 B conf
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour.
EC-TEL
Simone Kopeinik, Elisabeth Lex, Dominik Kowald, Dietrich Albert, Paul Seitlinger
2019 J jnl
An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server.
J. Learn. Anal.
Adolfo Ruiz-Calleja, Sebastian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley
2019 J jnl
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric.
CoRR
Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex
2019 J jnl
Exploiting weak ties in trust-based recommender systems using regular equivalence.
CoRR
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2019 J jnl
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations.
CoRR
Dominik Kowald, Elisabeth Lex, Markus Schedl
2019 J jnl
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations.
CoRR
Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2019 A conf
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations.
RecSys
Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2019 — conf
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
GI-Jahrestagung
Elisabeth Lex, Dominik Kowald
2019 J jnl
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
CoRR
Elisabeth Lex, Dominik Kowald
2019 J jnl
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
CoRR
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2019 J jnl
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.
CoRR
Dominik Kowald, Markus Schedl, Elisabeth Lex
2019 J jnl
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets.
CoRR
Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex
2018 — conf
AFEL - Analytics for Everyday Learning.
WWW (Companion Volume)
Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann
2018 — conf
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CIKM Workshops
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018 J jnl
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CoRR
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018 J jnl
Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach.
Int. J. Hum. Comput. Interact.
Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, Dietrich Albert
2018 J jnl
Gone in 30 days! Predictions for car import planning.
it Inf. Technol.
Emanuel Lacic, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex
2018 J jnl
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views.
CoRR
Elisabeth Lex, Mario Wagner, Dominik Kowald
2018 — conf
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
CIKM Workshops
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 J jnl
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
CoRR
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 J jnl
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms.
CoRR
Dominik Kowald, Elisabeth Lex
2018 — conf
Simulation-based Co-Creation of Algorithms.
CC-TEL/TACKLE@EC-TEL
Sebastian Dennerlein, Dominik Kowald, Viktoria Pammer-Schindler, Elisabeth Lex, Tobias Ley
2018 J jnl
Studying Confirmation Bias in Hashtag Usage on Twitter.
CoRR
Dominik Kowald, Elisabeth Lex
2018 — conf
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study.
WWW (Companion Volume)
Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex
2018 J jnl
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study.
CoRR
Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex
2018 J jnl
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence.
CoRR
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 A conf
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence.
RecSys
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2017 — conf
AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning.
ARTEL@EC-TEL
Mathieu d'Aquin, Alessandro Adamou, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Ilire Hasani-Mavriqi, Peter Holtz, Joachim Kimmerle, Dominik Kowald, Elisabeth Lex, Susana López-Sola, Ricardo Alonso Maturana, Vedran Sabol, Pinelopi Troullinou, Eduardo E. Veas
2017 J jnl
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.
CoRR
Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex
2017 J jnl
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning.
J. Web Sci.
Simone Kopeinik, Dominik Kowald, Ilire Hasani-Mavriqi, Elisabeth Lex
2017 A conf
Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project.
LAK
Simone Kopeinik, Elisabeth Lex, Paul Seitlinger, Dietrich Albert, Tobias Ley
2017 — conf
Tailoring Recommendations for a Multi-Domain Environment.
RecSysKTL
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2017 A* conf
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
WWW
Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
2017 J jnl
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
CoRR
Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
2017 — conf
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
UMAP (Adjunct Publication)
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2017 J jnl
Zenodo in the Spotlight of Traditional and New Metrics.
Frontiers Res. Metrics Anal.
Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Ignacio Gorraiz
2016 — conf
A sliding window approach to natural hand gesture recognition using a custom data glove.
3DUI
Granit Luzhnica, Jörg Simon, Elisabeth Lex, Viktoria Pammer
2016 J jnl
Going beyond your Personal Learning Network, Using Recommendations and Trust through a Multimedia Question-Answering Service for Decision-support: a Case Study in the Healthcare.
J. Univers. Comput. Sci.
Patricia Santos, Elisabeth Lex, Sebastian Dennerlein, Dieter Theiler, John Cook, Tamsin Treasure-Jones, Debbie Holley, Micky Kerr, Graham Attwell, Dominik Kowald
2016 J jnl
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review.
CoRR
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016 — conf
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews.
HT
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016 J jnl
Named Entity Recognition for the Agricultural Domain.
Res. Comput. Sci.
C. S. Malarkodi, Elisabeth Lex, Sobha Lalitha Devi
2016 J jnl
Research data explored: an extended analysis of citations and altmetrics.
Scientometrics
Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz
2016 — conf
Semantic Stability in Wikipedia.
COMPLEX NETWORKS
Darko Stanisavljevic, Ilire Hasani-Mavriqi, Elisabeth Lex, Markus Strohmaier, Denis Helic
2016 B conf
Take up My Tags: Exploring Benefits of Meaning Making in a Collaborative Learning Task at the Workplace.
EC-TEL
Sebastian Dennerlein, Paul Seitlinger, Elisabeth Lex, Tobias Ley
2016 — conf
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems.
HT
Dominik Kowald, Elisabeth Lex
2016 J jnl
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems.
CoRR
Dominik Kowald, Elisabeth Lex
2016 J jnl
The influence of social status and network structure on consensus building in collaboration networks.
Soc. Netw. Anal. Min.
Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
2016 — conf
Visualizing Workplace Learning Data with the SSS Dashboard.
CrossLAK
Adolfo Ruiz-Calleja, Sebastian Dennerlein, Tobias Ley, Elisabeth Lex
2016 B conf
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL.
EC-TEL
Simone Kopeinik, Dominik Kowald, Elisabeth Lex
2015 — conf
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
WWW (Companion Volume)
Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley
2015 J jnl
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
CoRR
Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex
2015 A conf
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study.
RecSys
Dominik Kowald, Elisabeth Lex
2015 C conf
Exploring Coverage and Distribution of Identifiers on the Scholarly Web.
ISI
Peter Kraker, Asura Enkhbayar, Elisabeth Lex
2015 J jnl
Exploring Coverage and Distribution of Identifiers on the Scholarly Web.
CoRR
Peter Kraker, Asura Enkhbayar, Elisabeth Lex
2015 — conf
Integrating Data Across Workplace Learning Applications with a Social Semantic Infrastructure.
ICWL
Adolfo Ruiz-Calleja, Sebastian Dennerlein, Vladimir Tomberg, Tobias Ley, Dieter Theiler, Elisabeth Lex
2015 B conf
KnowBrain: An Online Social Knowledge Repository for Informal Workplace Learning.
EC-TEL
Sebastian Dennerlein, Dieter Theiler, Peter Marton, Patricia Santos Rodriguez, John Cook, Stefanie N. Lindstaedt, Elisabeth Lex
2015 J jnl
Research Data Explored II: the Anatomy and Reception of figshare.
CoRR
Peter Kraker, Elisabeth Lex, Juan Gorraiz, Christian Gumpenberger, Isabella Peters
2015 — conf
Research Data Explored: Citations versus Altmetrics.
ISSI
Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz
2015 J jnl
Research Data Explored: Citations versus Altmetrics.
CoRR
Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz
2015 — conf
Smart booking without looking: providing hotel recommendations in the TripRebel portal.
I-KNOW
Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex
2015 — conf
Social activity versus academic activity: a case study of computer scientists on Twitter.
I-KNOW
Subhash Chandra Pujari, Asmelash Teka Hadgu, Elisabeth Lex, Robert Jäschke
2015 B conf
Supporting Learning Analytics for Informal Workplace Learning with a Social Semantic Infrastructure.
EC-TEL
Adolfo Ruiz-Calleja, Sebastian Dennerlein, Vladimir Tomberg, Kai Pata, Tobias Ley, Dieter Theiler, Elisabeth Lex
2015 — conf
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems.
RecSys Posters
Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex
2015 B conf
The Influence of Social Status on Consensus Building in Collaboration Networks.
ASONAM
Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
2015 — conf
The social semantic server: a flexible framework to support informal learning at the workplace.
I-KNOW
Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley
2014 J jnl
Assessing the Quality of Web Content.
CoRR
Elisabeth Lex, Inayat Khan, Horst Bischof, Michael Granitzer
2014 — ch.
Visual Analysis and Knowledge Discovery for Text.
Large-Scale Data Analytics
Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer
2013 — conf
Using Factual Density to Measure Informativeness of Web Documents.
NODALIDA
Christopher Horn, Alisa Zhila, Alexander F. Gelbukh, Roman Kern, Elisabeth Lex
2012 — conf
Measuring the quality of web content using factual information.
WebQuality@WWW
Elisabeth Lex, Michael Völske, Marcelo Errecalde, Edgardo Ferretti, Leticia C. Cagnina, Christopher Horn, Benno Stein, Michael Granitzer
2012 C conf
Where am I? Using Mobile Sensor Data to Predict a User's Semantic Place with a Random Forest Algorithm.
MobiQuitous
Elisabeth Lex, Oliver Pimas, Jörg Simon, Viktoria Pammer-Schindler
2011 — conf
Realtime Ad Hoc Search in Twitter: Know-Center at TREC Microblog Track 2011.
TREC
Christopher Horn, Oliver Pimas, Michael Granitzer, Elisabeth Lex
2010 — conf
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs.
DEXA Workshops
Elisabeth Lex, Andreas Juffinger, Michael Granitzer
2010 — conf
Objectivity classification in online media.
HT
Elisabeth Lex, Andreas Juffinger, Michael Granitzer
2010 — conf
Stylometric features for emotion level classification in news related blogs.
RIAO
Elisabeth Lex, Michael Granitzer, Markus Muhr, Andreas Juffinger
2009 C conf
A Novel Visualization Approach for Data-Mining-Related Classification.
IV
Christin Seifert, Elisabeth Lex
2009 — conf
Blog credibility ranking by exploiting verified content.
WICOW
Andreas Juffinger, Michael Granitzer, Elisabeth Lex
2009 — conf
Cross-domain classification: Trade-off between complexity and accuracy.
ICITST
Elisabeth Lex, Christin Seifert, Michael Granitzer, Andreas Juffinger
2009 A* conf
Crosslanguage blog mining and trend visualisation.
WWW
Andreas Juffinger, Elisabeth Lex
2009 — conf
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task.
TREC
Elisabeth Lex, Michael Granitzer, Andreas Juffinger
2008 J jnl
A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data.
J. Digit. Inf. Manag.
Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, Michael Granitzer