Markus Schedl

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 180

Top Venues

Publications

Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
Differential privacy in collaborative filtering recommender systems: a review. Frontiers Big Data 6 (2024)
Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. UMAP (2024)
Linda Ratz, Markus Schedl, Simone Kopeinik, Navid Rekabsaz
Measuring Bias in Search Results Through Retrieval List Comparison. ECIR (5) (2024)
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Shahed Masoudian
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. CoRR (2024)
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. EACL (1) (2024)
Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. CoRR (2024)
Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR (2024)
Yashar Deldjoo, Markus Schedl, Peter Knees
Content-driven music recommendation: Evolution, state of the art, and challenges. Comput. Sci. Rev. 51 (2024)
Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR (2024)
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 (2024)
Deepak Kumar, Tessa Grosz, Navid Rekabsaz, Elisabeth Greif, Markus Schedl
Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. Frontiers Big Data 6 (2024)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR (2024)
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives. UMAP (Adjunct Publication) (2024)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) (2024)
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
Psychology-informed Information Access Systems Workshop. WSDM (2024)
Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. ACL (Findings) (2023)
Markus Schedl, Emilia Gómez, Elisabeth Lex
Trustworthy Algorithmic Ranking Systems. WSDM (2023)
Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. CHIIR (2023)
Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, Markus Schedl, Navid Rekabsaz
Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users. CHI (2023)
Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl
Multiobjective Hyperparameter Optimization of Recommender Systems. Perspectives@RecSys (2023)
Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. WSDM (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL (2023)
Markus Frohmann, Manuel Karner, Said Khudoyan, Robert Wagner, Markus Schedl
Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting. Big Data Cogn. Comput. 7 (3) (2023)
Bruce Ferwerda, Eveline Ingesson, Michaela Berndl, Markus Schedl
I Don't Care How Popular You Are! Investigating Popularity Bias in Music Recommendations from a User's Perspective. CHIIR (2023)
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. RecSys (2023)
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS (2023)
Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
Domain Information Control at Inference Time for Acoustic Scene Classification. EUSIPCO (2023)
Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
Domain Information Control at Inference Time for Acoustic Scene Classification. CoRR (2023)
Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz, Markus Schedl
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning. HR@RecSys (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR (2023)
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)
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. Int. J. Multim. Inf. Retr. 12 (1) (2023)
Tommaso Di Noia, In-Young Ko, Markus Schedl
Introduction to the ICWE 2022 Special Issue. J. Web Eng. 22 (1) (2023)
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)
Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR (2023)
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
Recommender systems under European AI regulations. Commun. ACM 65 (4) (2022)
Elisabeth Lex, Markus Schedl
Psychology-informed Recommender Systems: A Human-Centric Perspective on Recommender Systems. CHIIR (2022)
Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
Unlearning Protected User Attributes in Recommendations with Adversarial Training. SIGIR (2022)
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)
Markus Schedl, Emilia Gómez, Elisabeth Lex
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. SIGIR (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. AI Mag. 43 (2) (2022)
Mihai Gabriel Constantin, Liviu-Daniel Stefan, Bogdan Ionescu, Claire-Hélène Demarty, Mats Sjöberg, Markus Schedl, Guillaume Gravier
Affect in Multimedia: Benchmarking Violent Scenes Detection. IEEE Trans. Affect. Comput. 13 (1) (2022)
Elisabeth Lex, Markus Schedl
Psychology-informed Recommender Systems Tutorial. RecSys (2022)
Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. CIKM (2022)
Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. RecSys (2022)
Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR (2022)
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)
Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. ISMIR (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. CoRR (2022)
Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz
LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. CHIIR (2022)
Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? BIAS (2022)
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 Lye, 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)
Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
Unlearning Protected User Attributes in Recommendations with Adversarial Training. CoRR (2022)
Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. CoRR (2022)
Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? CoRR (2022)
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
EmoMTB: Emotion-aware Music Tower Blocks. ICMR (2022)
Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz, Elisabeth Greif
Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research. UMAP (Adjunct Publication) (2022)
Christopher Stelzmüller, Sebastian Tanzer, Markus Schedl
Cross-city Analysis of Location-based Sentiment in User-generated Text. WWW (Companion Volume) (2021)
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers. CoRR (2021)
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR (2021)
Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer
LEMONS: Listenable Explanations for Music recOmmeNder Systems. ECIR (2) (2021)
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
TripClick: The Log Files of a Large Health Web Search Engine. SIGIR (2021)
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)
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) (2021)
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. 58 (5) (2021)
Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
Psychology-informed Recommender Systems. Found. Trends Inf. Retr. 15 (2) (2021)
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 (2021)
Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl
Does Track Sequence in User-generated Playlists Matter?. ISMIR (2021)
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR (2021)
Yashar Deldjoo, Markus Schedl, Peter Knees
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges. CoRR (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR (2021)
Alexander Krauck, David Penz, Markus Schedl
Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features. RecSys Challenge (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR (2021)
Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette
Current Challenges and Future Directions in Podcast Information Access. CoRR (2021)
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)
Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette
Current Challenges and Future Directions in Podcast Information Access. SIGIR (2021)
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 (2021)
Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller, Markus Schedl
Automatic Recognition of Texture in Renaissance Music. ISMIR (2021)
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
TripClick: The Log Files of a Large Health Web Search Engine. CoRR (2021)
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. SIGIR (2021)
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)
Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR (2020)
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 (2020)
Peter Knees, Markus Schedl, Masataka Goto
Intelligent User Interfaces for Music Discovery. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Elisabeth Lex, Dominik Kowald, Markus Schedl
Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
Personality Bias of Music Recommendation Algorithms. RecSys (2020)
Navid Rekabsaz, Markus Schedl
Do Neural Ranking Models Intensify Gender Bias? SIGIR (2020)
Dominik Kowald, Markus Schedl, Elisabeth Lex
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) (2020)
Markus Schedl, Michael Mayr, Peter Knees
Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access. ICMR (2020)
Navid Rekabsaz, Markus Schedl
Do Neural Ranking Models Intensify Gender Bias? CoRR (2020)
Eva Zangerle, Martin Pichl, Markus Schedl
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Marko Tkalcic, Markus Schedl, Peter Knees
Preface to the Special Issue on user modeling for personalized interaction with music. User Model. User Adapt. Interact. 30 (2) (2020)
Dominik Kowald, Elisabeth Lex, Markus Schedl
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR (2020)
Kyle Robinson, Dan Brown, Markus Schedl
User Insights on Diversity in Music Recommendation Lists. ISMIR (2020)
Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. ISMIR (2020)
Alessandro B. Melchiorre, Markus Schedl
Personality Correlates of Music Audio Preferences for Modelling Music Listeners. UMAP (2020)
Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
Recommender Systems Leveraging Multimedia Content. ACM Comput. Surv. 53 (5) (2020)
Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. IntRS@RecSys (2019)
Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
Order, context and popularity bias in next-song recommendations. Int. J. Multim. Inf. Retr. 8 (2) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Markus Schedl