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ORCIDElisabeth Lex
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- affiliation: Graz University of Technology, Knowledge Technologies Institute, Austria
- affiliation: Know-Center GmbH, Graz, Austria
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2020 – today
- 2026
[c97]Kevin Innerebner
, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex:
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks. ECIR (3) 2026: 384-397- [c96]Miguel Vázquez, Kevin Innerebner, Alexander Prock, Günter Klambauer, Elisabeth Lex, Johannes Schimunek, Axel Polleres:
Structure is the Signal: Graph Encodings and GNNs for Constraint Repair in Collaborative KGs. ESWC (1) 2026: 278-296 - [c95]Andrea Forster, Peter Müllner, Denis Helic, Elisabeth Lex, Dominik Kowald:
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems. UMAP Workshops 2026: 148-159 - [c94]Peter Müllner, Dominik Kowald, Markus Schedl, Elisabeth Lex:
Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations. UMAP 2026: 517-520 - [c93]Allegra De Filippo, Angelo Geninatti Cossatin, Elisabeth Lex, Noemi Mauro, Giacomo Medda, Giuseppe Spillo:
First International Workshop on User Modeling, Personalization, and Adaptive Systems for Sustainability and Social Good (UMAP4Good 2026). UMAP 2026: 677-679 - [e5]Alejandro Bellogín, Ludovico Boratto, Federica Cena, Angelo Geninatti Cossatin, Theo Huibers, Styliani Kleanthous, Monica Landoni, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras, Noemi Mauro, Emiliana Murgia, Maria Soledad Pera:
Advances in Bias, Fairness, and Understudied Users in Information Retrieval - 6th International Workshop, BIAS 2025, and 2nd International Workshop, IR4U2 2025, Padua, Italy, July 17, 2025, Revised Selected Papers. Communications in Computer and Information Science 2786, Springer 2026, ISBN 978-3-032-12716-7 [contents] - [e4]Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Noemi Mauro, Francesca Maridina Malloci, Francesco Ricci:
Recommender Systems for Sustainability and Social Good - Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings. Communications in Computer and Information Science 2802, Springer 2026, ISBN 978-3-032-13341-0 [contents] - [i55]Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas, Elisabeth Lex:
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks. CoRR abs/2601.04019 (2026) - [i54]Peter Müllner, Dominik Kowald, Markus Schedl, Elisabeth Lex:
Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations. CoRR abs/2604.26390 (2026) - [i53]Andrea Forster, Peter Müllner, Denis Helic, Elisabeth Lex, Dominik Kowald:
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems. CoRR abs/2605.02379 (2026) - 2025
- [j22]Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex:
The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models. Frontiers Big Data 8 (2025) - [c92]Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
Graph Queries from Natural Language Using Constrained Language Models and Visual Editing. ICKG 2025: 178-185 - [c91]Markus Reiter-Haas, Elisabeth Lex:
Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit. INRA@RecSys 2025 - [c90]Gregor Mayr, Markus Reiter-Haas, Elisabeth Lex:
Mind the Gap: Urban-Rural Disparities in Wheelchair Accessibility for POI Recommendations. RecSoGood@RecSys 2025: 108-116 - [c89]Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesca Maridina Malloci, Noemi Mauro, Francesco Ricci:
Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025). RecSys 2025: 1394-1398 - [c88]Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
OnSET: Ontology and Semantic Exploration Toolkit. SIGIR 2025: 3980-3984 - [c87]Markus Schedl, Elisabeth Lex, Marko Tkalcic:
Psychological Aspects in Retrieval and Recommendation. SIGIR 2025: 4114-4117 - [c86]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). SIGIR 2025: 4150-4152 - [c85]Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl:
Hybrid AI for Human-Centric Personalization (HyPer). UMAP (Adjunct Publication) 2025: 336-338 - [c84]Stephan Bartl, Kevin Innerebner, Elisabeth Lex:
Differentiable Fuzzy Neural Networks for Recommender Systems. UMAP (Adjunct Publication) 2025: 343-348 - [c83]Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex:
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. UMAP (Adjunct Publication) 2025: 349-352 - [e3]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers. Communications in Computer and Information Science 2227, Springer 2025, ISBN 978-3-031-71974-5 [contents] - [e2]Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci:
Recommender Systems for Sustainability and Social Good - First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings. Communications in Computer and Information Science 2470, Springer 2025, ISBN 978-3-031-87653-0 [contents] - [i52]Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
OnSET: Ontology and Semantic Exploration Toolkit. CoRR abs/2504.08373 (2025) - [i51]Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex:
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. CoRR abs/2505.05083 (2025) - [i50]Stephan Bartl, Kevin Innerebner, Elisabeth Lex:
Differentiable Fuzzy Neural Networks for Recommender Systems. CoRR abs/2505.06000 (2025) - [i49]Markus Reiter-Haas, Elisabeth Lex:
Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit. CoRR abs/2509.02220 (2025) - [i48]Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
Graph Queries from Natural Language using Constrained Language Models and Visual Editing. CoRR abs/2512.00948 (2025) - 2024
- [j21]Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. Frontiers Big Data 6 (2024) - [j20]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
Differential privacy in collaborative filtering recommender systems: a review. Frontiers Big Data 6 (2024) - [j19]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024. SIGIR Forum 58(2): 1-6 (2024) - [c82]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CHIIR 2024: 381-385 - [c81]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations. Text2Story@ECIR 2024: 129-135 - [c80]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) 2024: 466-482 - [c79]Markus Reiter-Haas, Elisabeth Lex:
The Framing Loop: Do Users Repeatedly Read Similar Framed News Online? IUI Workshops 2024 - [c78]Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. ECML/PKDD (7) 2024: 349-365 - [c77]Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci:
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). RecSys 2024: 1239-1241 - [c76]Shibam Mukherjee, Roman Walch, Fredrik Meisingseth, Elisabeth Lex, Christian Rechberger:
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System. SEC 2024: 353-366 - [c75]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). SIGIR 2024: 3033-3035 - [c74]Markus Schedl, Vito Walter Anelli, Elisabeth Lex:
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives. UMAP (Adjunct Publication) 2024 - [c73]Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex:
Psychology-informed Information Access Systems Workshop. WSDM 2024: 1216-1217 - [d4]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
LFM User Groups Implicit Feedback. Zenodo, 2024
- [d3]Markus Reiter-Haas, Elisabeth Lex:
MFD-2-TM-de: German Moral Foundation Dictionary 2 by Translation Matrix. Zenodo, 2024 - [i47]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR abs/2401.03883 (2024) - [i46]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media. CoRR abs/2401.10030 (2024) - [i45]Shibam Mukherjee, Roman Walch, Fredrik Meisingseth, Elisabeth Lex, Christian Rechberger:
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System. CoRR abs/2405.20483 (2024) - [i44]Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. CoRR abs/2406.11505 (2024) - 2023
- [j18]Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. 14(5): 80:1-80:29 (2023) - [c72]Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS 2023: 1-16 - [c71]Elisabeth Lex:
Trustworthy Recommender Systems. HCI-SI 2023: 1 - [c70]Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. RecSys 2023: 840-847 - [c69]Markus Schedl, Vito Walter Anelli, Elisabeth Lex:
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. RecSys 2023: 1288-1290 - [c68]Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex:
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. SemEval@ACL 2023: 941-949 - [c67]Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR 2023: 1889-1893 - [c66]Markus Schedl, Emilia Gómez, Elisabeth Lex:
Trustworthy Algorithmic Ranking Systems. WSDM 2023: 1240-1243 - [d2]Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. Zenodo, 2023 - [i43]Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR abs/2303.00400 (2023) - [i42]Markus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex:
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection. CoRR abs/2303.09901 (2023) - [i41]Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks. CoRR abs/2310.02294 (2023) - [i40]Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex:
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines. CoRR abs/2312.08995 (2023) - 2022
- [c65]Elisabeth Lex, Markus Schedl:
Psychology-informed Recommender Systems: A Human-Centric Perspective on Recommender Systems. CHIIR 2022: 367-368 - [c64]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. ICDM 2022: 975-980 - [c63]Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. ISMIR 2022: 291-297 - [c62]Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. MORS@RecSys 2022 - [c61]Elisabeth Lex, Markus Schedl:
Psychology-informed Recommender Systems Tutorial. RecSys 2022: 714-717 - [c60]Markus Schedl, Emilia Gómez, Elisabeth Lex:
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. SIGIR 2022: 3420-3424 - [c59]Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz, Elisabeth Greif:
Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research. UMAP (Adjunct Publication) 2022: 90-94 - [c58]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:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [i39]Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald:
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR abs/2206.11561 (2022) - [i38]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. CoRR abs/2209.05957 (2022) - 2021
- [j17]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Roman Kern:
The interplay between communities and homophily in semi-supervised classification using graph neural networks. Appl. Netw. Sci. 6(1): 80 (2021) - [j16]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Sci. 10(1): 14 (2021) - [j15]Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev:
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. Frontiers Artif. Intell. 4: 712072 (2021) - [j14]Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl:
Psychology-informed Recommender Systems. Found. Trends Inf. Retr. 15(2): 134-242 (2021) - [c57]Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. ASONAM 2021: 447-454 - [c56]Peter Müllner, Dominik Kowald, Elisabeth Lex:
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. ECIR (2) 2021: 107-119 - [c55]Elisabeth Lex:
Psychology-informed recommender systems. FMEC 2021: 1 - [c54]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern:
Structack: Structure-based Adversarial Attacks on Graph Neural Networks. HT 2021: 111-120 - [c53]Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex:
Studying Moral-based Differences in the Framing of Political Tweets. ICWSM 2021: 1085-1089 - [c52]Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys 2021: 601-606 - [c51]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys 2021: 702-707 - [c50]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys 2021: 783-786 - [c49]Elisabeth Lex:
Keynote 7. SDS 2021: 1 - [e1]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2948, CEUR-WS.org 2021 [contents] - [i37]Peter Müllner, Dominik Kowald, Elisabeth Lex:
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. CoRR abs/2101.06927 (2021) - [i36]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR abs/2102.12188 (2021) - [i35]Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex:
Studying Moral-based Differences in the Framing of Political Tweets. CoRR abs/2103.11853 (2021) - [i34]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern:
Structack: Structure-based Adversarial Attacks on Graph Neural Networks. CoRR abs/2107.11327 (2021) - [i33]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR abs/2108.02138 (2021) - [i32]Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR abs/2108.06973 (2021) - [i31]Tomislav Duricic, Volker Seiser, Elisabeth Lex:
Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum. CoRR abs/2109.01127 (2021) - [i30]Peter Müllner, Elisabeth Lex, Dominik Kowald:
Position Paper on Simulating Privacy Dynamics in Recommender Systems. CoRR abs/2109.06473 (2021) - [i29]Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. CoRR abs/2111.00562 (2021) - 2020
- [j13]Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex:
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers Artif. Intell. 3: 508725 (2020) - [j12]Elisabeth Lex, Dominik Kowald, Markus Schedl:
Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. 3(1): 17-30 (2020) - [j11]Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex:
Using autoencoders for session-based job recommendations. User Model. User Adapt. Interact. 30(4): 617-658 (2020) - [c48]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic:
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks. COMPLEX NETWORKS (2) 2020: 15-26 - [c47]Dominik Kowald, Markus Schedl, Elisabeth Lex:
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) 2020: 35-42 - [c46]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS 2020: 181-191 - [i28]Dominik Kowald, Elisabeth Lex, Markus Schedl:
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR abs/2003.10699 (2020) - [i27]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR abs/2003.13345 (2020) - [i26]Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex:
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR abs/2009.09935 (2020) - [i25]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic:
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks. CoRR abs/2010.16245 (2020)
2010 – 2019
- 2019
- [j10]Adolfo Ruiz-Calleja, Sebastian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley:
An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server. J. Learn. Anal. 6(2) (2019) - [c45]Simone Kopeinik, Elisabeth Lex, Dominik Kowald, Dietrich Albert, Paul Seitlinger:
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour. EC-TEL 2019: 409-422 - [c44]Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. GI-Jahrestagung 2019: 285-286 - [c43]Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex:
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. RecSys 2019: 496-500 - [i24]Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. CoRR abs/1901.00306 (2019) - [i23]Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex:
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. CoRR abs/1907.06556 (2019) - [i22]Dominik Kowald, Elisabeth Lex, Markus Schedl:
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. CoRR abs/1907.09781 (2019) - [i21]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR abs/1907.11620 (2019) - [i20]Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR abs/1908.00977 (2019) - [i19]Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. CoRR abs/1908.04017 (2019) - [i18]Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex:
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. CoRR abs/1908.04042 (2019) - [i17]Dominik Kowald, Markus Schedl, Elisabeth Lex:
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. CoRR abs/1912.04696 (2019) - 2018
- [j9]Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, Dietrich Albert:
Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach. Int. J. Hum. Comput. Interact. 34(6): 557-575 (2018) - [j8]Emanuel Lacic, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex:
Gone in 30 days! Predictions for car import planning. it Inf. Technol. 60(4): 219-228 (2018) - [c42]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CIKM Workshops 2018 - [c41]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops 2018 - [c40]Sebastian Dennerlein, Dominik Kowald, Viktoria Pammer-Schindler, Elisabeth Lex, Tobias Ley:
Simulation-based Co-Creation of Algorithms. CC-TEL/TACKLE@EC-TEL 2018 - [c39]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys 2018: 446-450 - [c38]Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex:
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. WWW (Companion Volume) 2018: 1-2 - [c37]Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann:
AFEL - Analytics for Everyday Learning. WWW (Companion Volume) 2018: 439-440 - [i16]Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex:
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. CoRR abs/1803.02179 (2018) - [i15]Dominik Kowald, Elisabeth Lex:
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms. CoRR abs/1805.03067 (2018) - [i14]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR abs/1807.06839 (2018) - [i13]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR abs/1808.04603 (2018) - [i12]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR abs/1808.06417 (2018) - [i11]Dominik Kowald, Elisabeth Lex:
Studying Confirmation Bias in Hashtag Usage on Twitter. CoRR abs/1809.03203 (2018) - [i10]Elisabeth Lex, Mario Wagner, Dominik Kowald:
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. CoRR abs/1809.03901 (2018) - 2017
- [j7]Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Ignacio Gorraiz:
Zenodo in the Spotlight of Traditional and New Metrics. Frontiers Res. Metrics Anal. 2: 13 (2017) - [j6]Simone Kopeinik, Dominik Kowald, Ilire Hasani-Mavriqi, Elisabeth Lex:
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. J. Web Sci. 2(4): 45-61 (2017) - [c36]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:
AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. ARTEL@EC-TEL 2017 - [c35]Simone Kopeinik, Elisabeth Lex, Paul Seitlinger, Dietrich Albert, Tobias Ley:
Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project. LAK 2017: 409-418 - [c34]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL 2017: 42-45 - [c33]Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. UMAP (Adjunct Publication) 2017: 23-28 - [c32]Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex:
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. WWW 2017: 1401-1410 - [d1]Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz:
Zenodo Public Metadata Records until 17 January 2017. Zenodo, 2017 - [i9]Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex:
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. CoRR abs/1701.01276 (2017) - [i8]Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex:
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. CoRR abs/1711.07762 (2017) - 2016
- [j5]Patricia Santos, Elisabeth Lex, Sebastian Dennerlein, Dieter Theiler, John Cook, Tamsin Treasure-Jones, Debbie Holley, Micky Kerr, Graham Attwell, Dominik Kowald:
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. 22(3): 340-359 (2016) - [j4]C. S. Malarkodi, Elisabeth Lex, Sobha Lalitha Devi:
Named Entity Recognition for the Agricultural Domain. Res. Comput. Sci. 117: 121-132 (2016) - [j3]Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz:
Research data explored: an extended analysis of citations and altmetrics. Scientometrics 107(2): 723-744 (2016) - [j2]Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic:
The influence of social status and network structure on consensus building in collaboration networks. Soc. Netw. Anal. Min. 6(1): 80:1-80:17 (2016) - [c31]Granit Luzhnica, Jörg Simon, Elisabeth Lex, Viktoria Pammer:
A sliding window approach to natural hand gesture recognition using a custom data glove. 3DUI 2016: 81-90 - [c30]Darko Stanisavljevic, Ilire Hasani-Mavriqi, Elisabeth Lex, Markus Strohmaier, Denis Helic:
Semantic Stability in Wikipedia. COMPLEX NETWORKS 2016: 379-390 - [c29]Simone Kopeinik, Dominik Kowald, Elisabeth Lex:
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. EC-TEL 2016: 124-138 - [c28]Sebastian Dennerlein, Paul Seitlinger, Elisabeth Lex, Tobias Ley:
Take up My Tags: Exploring Benefits of Meaning Making in a Collaborative Learning Task at the Workplace. EC-TEL 2016: 377-383 - [c27]Dominik Kowald, Elisabeth Lex:
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. HT 2016: 237-242 - [c26]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT 2016: 249-254 - [c25]Adolfo Ruiz-Calleja, Sebastian Dennerlein, Tobias Ley, Elisabeth Lex:
Visualizing Workplace Learning Data with the SSS Dashboard. CrossLAK 2016: 79-86 - [i7]Dominik Kowald, Elisabeth Lex:
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. CoRR abs/1604.00837 (2016) - [i6]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR abs/1604.00942 (2016) - 2015
- [c24]Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic:
The Influence of Social Status on Consensus Building in Collaboration Networks. ASONAM 2015: 162-169 - [c23]Sebastian Dennerlein, Dieter Theiler, Peter Marton, Patricia Santos Rodriguez, John Cook, Stefanie N. Lindstaedt, Elisabeth Lex:
KnowBrain: An Online Social Knowledge Repository for Informal Workplace Learning. EC-TEL 2015: 509-512 - [c22]Adolfo Ruiz-Calleja, Sebastian Dennerlein, Vladimir Tomberg, Kai Pata, Tobias Ley, Dieter Theiler, Elisabeth Lex:
Supporting Learning Analytics for Informal Workplace Learning with a Social Semantic Infrastructure. EC-TEL 2015: 634-637 - [c21]Adolfo Ruiz-Calleja, Sebastian Dennerlein, Vladimir Tomberg, Tobias Ley, Dieter Theiler, Elisabeth Lex:
Integrating Data Across Workplace Learning Applications with a Social Semantic Infrastructure. ICWL 2015: 208-217 - [c20]Subhash Chandra Pujari, Asmelash Teka Hadgu, Elisabeth Lex, Robert Jäschke:
Social activity versus academic activity: a case study of computer scientists on Twitter. I-KNOW 2015: 12:1-12:8 - [c19]Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley:
The social semantic server: a flexible framework to support informal learning at the workplace. I-KNOW 2015: 26:1-26:8 - [c18]Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex:
Smart booking without looking: providing hotel recommendations in the TripRebel portal. I-KNOW 2015: 50:1-50:4 - [c17]Peter Kraker, Asura Enkhbayar, Elisabeth Lex:
Exploring Coverage and Distribution of Identifiers on the Scholarly Web. ISI 2015: 393-403 - [c16]Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz:
Research Data Explored: Citations versus Altmetrics. ISSI 2015 - [c15]Dominik Kowald, Elisabeth Lex:
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. RecSys 2015: 265-268 - [c14]Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex:
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. RecSys Posters 2015 - [c13]Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley:
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. WWW (Companion Volume) 2015: 339-345 - [i5]Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz:
Research Data Explored: Citations versus Altmetrics. CoRR abs/1501.03342 (2015) - [i4]Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex:
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. CoRR abs/1501.07716 (2015) - [i3]Peter Kraker, Elisabeth Lex, Juan Gorraiz, Christian Gumpenberger, Isabella Peters:
Research Data Explored II: the Anatomy and Reception of figshare. CoRR abs/1503.01298 (2015) - [i2]Peter Kraker, Asura Enkhbayar, Elisabeth Lex:
Exploring Coverage and Distribution of Identifiers on the Scholarly Web. CoRR abs/1503.05096 (2015) - 2014
- [p1]Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer:
Visual Analysis and Knowledge Discovery for Text. Large-Scale Data Analytics 2014: 189-218 - [i1]Elisabeth Lex, Inayat Khan, Horst Bischof, Michael Granitzer:
Assessing the Quality of Web Content. CoRR abs/1406.3188 (2014) - 2013
- [c12]Christopher Horn, Alisa Zhila, Alexander F. Gelbukh, Roman Kern, Elisabeth Lex:
Using Factual Density to Measure Informativeness of Web Documents. NODALIDA 2013: 227-238 - 2012
- [c11]Elisabeth Lex, Oliver Pimas, Jörg Simon, Viktoria Pammer-Schindler:
Where am I? Using Mobile Sensor Data to Predict a User's Semantic Place with a Random Forest Algorithm. MobiQuitous 2012: 64-75 - [c10]Elisabeth Lex, Michael Völske, Marcelo Errecalde, Edgardo Ferretti, Leticia C. Cagnina, Christopher Horn, Benno Stein, Michael Granitzer:
Measuring the quality of web content using factual information. WebQuality@WWW 2012: 7-10 - 2011
- [c9]Christopher Horn, Oliver Pimas, Michael Granitzer, Elisabeth Lex:
Realtime Ad Hoc Search in Twitter: Know-Center at TREC Microblog Track 2011. TREC 2011 - 2010
- [c8]Elisabeth Lex, Andreas Juffinger, Michael Granitzer:
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs. DEXA Workshops 2010: 10-14 - [c7]Elisabeth Lex, Andreas Juffinger, Michael Granitzer:
Objectivity classification in online media. HT 2010: 293-294 - [c6]Elisabeth Lex, Michael Granitzer, Markus Muhr, Andreas Juffinger:
Stylometric features for emotion level classification in news related blogs. RIAO 2010: 132-133
2000 – 2009
- 2009
- [c5]Elisabeth Lex, Christin Seifert, Michael Granitzer, Andreas Juffinger:
Cross-domain classification: Trade-off between complexity and accuracy. ICITST 2009: 1-6 - [c4]Christin Seifert, Elisabeth Lex:
A Novel Visualization Approach for Data-Mining-Related Classification. IV 2009: 490-495 - [c3]Elisabeth Lex, Michael Granitzer, Andreas Juffinger:
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task. TREC 2009 - [c2]Andreas Juffinger, Michael Granitzer, Elisabeth Lex:
Blog credibility ranking by exploiting verified content. WICOW 2009: 51-58 - [c1]Andreas Juffinger, Elisabeth Lex:
Crosslanguage blog mining and trend visualisation. WWW 2009: 1149-1150 - 2008
- [j1]Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, Michael Granitzer:
A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data. J. Digit. Inf. Manag. 6(6): 434-441 (2008)
Coauthor Index
[c95] [c94] [i54] [i53] [c85] [c83] [i51] [j21] [j20] [c80] [c78] [d4] [i47] [i44] [j18] [c72] [c70] [d2] [i43] [i41] [i39] [j16] [j14] [c57] [c56] [c52] [i37] [i36] [i32] [i30] [i29] [j13] [j12] [j11] [c47] [c46] [i28] [i27] [i26] [j10] [c45] [c44] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [j9] [c42] [c41] [c40] [c39] [c38] [c37] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j6] [c36] [c34] [c33] [c32] [i9] [i8] [j5] [c29] [c27] [c26] [i7] [i6] [c19] [c18] [c15] [c14] [c13] [i4]
Peter Müllner
aka: Peter Muellner
aka: Peter Muellner
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