Eva Zangerle

114 papers A* 1A 14B 1C 7Misc 3Journal 25Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems.
CoRR
Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle
2026 J jnl
Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection.
CoRR
Janek Bevendorff, Maik Fröbe, André Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle
2026 — conf
Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection.
ECIR (4)
Janek Bevendorff, Maik Fröbe, André Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle
2025 A conf
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025).
RecSys
Eva Zangerle, Alan Said, Christine Bauer
2025 A conf
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems.
RecSys
Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
2025 J jnl
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search.
Trans. Recomm. Syst.
Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
2025 A* conf
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation.
WWW
Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle
2025 J jnl
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network.
Trans. Int. Soc. Music. Inf. Retr.
Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauß, Marcel Zentner, Eva Zangerle
2025 — conf
Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract.
ECIR (5)
Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle
2025 — conf
Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection.
CLEF
Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle
2025 — conf
Overview of the Multi-Author Writing Style Analysis Task at PAN 2025.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
2025 — conf
Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence.
GvDB
Amir Reza Mohammadi, Michael M. Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht
2025 J jnl
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features.
CoRR
Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle
2025 — conf
Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems.
GvDB
Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht
2024 A conf
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers.
RecSys
Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
2024 A conf
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags.
UMAP
Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
2024 J jnl
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211).
Dagstuhl Reports
Christine Bauer, Alan Said, Eva Zangerle
2024 J jnl
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives.
Trans. Recomm. Syst.
Christine Bauer, Eva Zangerle, Alan Said
2024 J jnl
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation.
Trans. Recomm. Syst.
Christine Bauer, Alan Said, Eva Zangerle
2024 — ed.
Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), Greenville, South Carolina, USA, March 18, 2024.
IUI Workshops
Axel J. Soto, Eva Zangerle
2024 — conf
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract.
ECIR (6)
Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle
2024 — conf
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview.
CLEF (2)
Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle
2024 — conf
Overview of the Multi-Author Writing Style Analysis Task at PAN 2024.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
2024 A conf
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES).
RecSys
Alan Said, Christine Bauer, Eva Zangerle
2023 Misc conf
Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness.
BTW
Manfred Moosleitner, Günther Specht, Eva Zangerle
2023 J jnl
Evaluating Recommender Systems: Survey and Framework.
ACM Comput. Surv.
Eva Zangerle, Christine Bauer
2023 — conf
HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems.
GvDB
Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht
2023 — conf
Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview.
CLEF
Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Rios, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2023 — conf
Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract.
ECIR (3)
Janek Bevendorff, Mara Chinea-Rios, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2023 — conf
Overview of the Multi-Author Writing Style Analysis Task at PAN 2023.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
2023 Misc conf
Pairwise Learning to Rank for Hit Song Prediction.
BTW
Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle
2023 — ed.
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), Singapore, Singapore, September 19, 2023.
Perspectives@RecSys
Alan Said, Eva Zangerle, Christine Bauer
2023 J jnl
Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023.
SIGIR Forum
Alan Said, Eva Zangerle, Christine Bauer
2023 A conf
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation.
RecSys
Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
2023 A conf
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023).
RecSys
Alan Said, Eva Zangerle, Christine Bauer
2022 J jnl
HSP Datasets: Insights on Song Popularity Prediction.
Int. J. Semantic Comput.
Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle
2022 J jnl
Height Optimized Tries.
ACM Trans. Database Syst.
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis
2022 A conf
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset.
CIKM
Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
2022 — conf
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract.
ECIR (2)
Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2022 — conf
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection.
CLEF
Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2022 — conf
Overview of the Style Change Detection Task at PAN 2022.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
2022 — ed.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22, 2022.
Perspectives@RecSys
Eva Zangerle, Christine Bauer, Alan Said
2022 J jnl
Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022.
SIGIR Forum
Eva Zangerle, Christine Bauer, Alan Said
2022 A conf
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022).
RecSys
Eva Zangerle, Christine Bauer, Alan Said
2022 — conf
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition.
ISMIR
Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle
2021 — conf
Co-rating Attacks on Recommendation Algorithms.
GvDB
Manfred Moosleitner, Günther Specht, Eva Zangerle
2021 J jnl
Leveraging Affective Hashtags for Ranking Music Recommendations.
IEEE Trans. Affect. Comput.
Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang
2021 C conf
Novel Datasets for Evaluating Song Popularity Prediction Tasks.
ISM
Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle
2021 — conf
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract.
ECIR (2)
Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2021 — conf
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection.
CLEF
Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle
2021 — conf
Overview of the Style Change Detection Task at PAN 2021.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
2021 A conf
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES).
RecSys
Eva Zangerle, Christine Bauer, Alan Said
2021 — ed.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021.
Perspectives@RecSys
Eva Zangerle, Christine Bauer, Alan Said
2021 — conf
Recognizing Song Mood and Theme: Clustering-based Ensembles.
MediaEval
Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle
2021 J jnl
Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys 2021.
SIGIR Forum
Eva Zangerle, Christine Bauer, Alan Said
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
User models for multi-context-aware music recommendation.
Multim. Tools Appl.
Martin Pichl, Eva Zangerle
2020 — conf
A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter.
CLEF (Working Notes)
Clemens Hörtenhuemer, Eva Zangerle
2020 J jnl
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings.
CoRR
Christine Bauer, Eva Zangerle
2020 — conf
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection.
CLEF
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle
2020 — conf
Overview of the Style Change Detection Task at PAN 2020.
CLEF (Working Notes)
Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast, Benno Stein
2020 — conf
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19.
ISMIR
Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl
2020 A conf
Personality Bias of Music Recommendation Algorithms.
RecSys
Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
2020 — ed.
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020
ISMIR
Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse
2020 — conf
Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups.
MediaEval
Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle
2020 — conf
Shared Tasks on Authorship Analysis at PAN 2020.
ECIR (2)
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle
2020 J jnl
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues.
Trans. Int. Soc. Music. Inf. Retr.
Eva Zangerle, Martin Pichl, Markus Schedl
2019 C conf
Article quality classification on Wikipedia: introducing document embeddings and content features.
OpenSym
Manuel Schmidt, Eva Zangerle
2019 — conf
Autoencoders for Next-Track-Recommendation.
Grundlagen von Datenbanken
Michael Vötter, Eva Zangerle, Maximilian Mayerl, Günther Specht
2019 J jnl
Creative GANs for generating poems, lyrics, and metaphors.
CoRR
Asir Saeed, Suzana Ilic, Eva Zangerle
2019 — conf
Hit Song Prediction: Leveraging Low- and High-Level Audio Features.
ISMIR
Eva Zangerle, Michael Vötter, Ramona Huber, Yi-Hsuan Yang
2019 — conf
Language Models for Next-Track Music Recommendation.
Grundlagen von Datenbanken
Maximilian Mayerl, Michael Vötter, Eva Zangerle, Günther Specht
2019 — conf
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings.
ImpactRS@RecSys
Christine Bauer, Eva Zangerle
2019 — conf
MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach.
MediaEval
Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang
2019 — conf
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection.
CLEF
Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, Eva Zangerle
2019 — conf
Overview of the Style Change Detection Task at PAN 2019.
CLEF (Working Notes)
Eva Zangerle, Michael Tschuggnall, Günther Specht, Benno Stein, Martin Potthast
2019 — conf
Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks.
MediaEval
Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Bo-Yu Chen, Yi-Hsuan Yang, Eva Zangerle
2018 A conf
ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists.
ECIR
Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger, Günther Specht
2018 — conf
Carl: Sports Award Recommender.
eCOM@SIGIR
Martin Pichl, Bernward Pichl, Eva Zangerle
2018 A conf
Culture-Aware Music Recommendation.
UMAP
Eva Zangerle, Martin Pichl, Markus Schedl
2018 — conf
HOT: A Height Optimized Trie Index for Main-Memory Database Systems.
SIGMOD Conference
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis
2018 C conf
Latent Feature Combination for Multi-Context Music Recommendation.
CBMI
Martin Pichl, Eva Zangerle
2018 — conf
The Many Faces of Users: Modeling Musical Preference.
ISMIR
Eva Zangerle, Martin Pichl
2018 — conf
UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome &Organization.
UMAP (Adjunct Publication)
Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart P. Knijnenburg
2018 — conf
geMsearch: Personalized Explorative Music Search.
IUI Workshops
Christian Esswein, Markus Schedl, Eva Zangerle
2017 — conf
A Peer-Based Approach on Analyzing Hacked Twitter Accounts.
HICSS
Benjamin Murauer, Eva Zangerle, Günther Specht
2017 — conf
Hierarchical Multilabel Classification and Voting for Genre Classification.
MediaEval
Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht
2017 B conf
Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach.
ICMR
Martin Pichl, Eva Zangerle, Günther Specht
2017 C conf
Mining Culture-Specific Music Listening Behavior from Social Media Data.
ISM
Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl
2017 J jnl
Understanding User-Curated Playlists on Spotify: A Machine Learning Approach.
Int. J. Multim. Data Eng. Manag.
Martin Pichl, Eva Zangerle, Günther Specht
2016 C conf
An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases.
OpenSym
Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser, Günther Specht
2016 — conf
Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links.
HICSS
Eva Zangerle, Georg Schmidhammer, Günther Specht
2016 — conf
Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts.
ISMIR
Eva Zangerle, Martin Pichl, Benedikt Hupfauf, Günther Specht
2016 J jnl
SentiStorm: Echtzeit-Stimmungserkennung von Tweets.
HMD Prax. Wirtsch.
Eva Zangerle, Martin Illecker, Günther Specht
2016 C conf
Understanding Playlist Creation on Music Streaming Platforms.
ISM
Martin Pichl, Eva Zangerle, Günther Specht
2015 — conf
#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations.
ICWE Workshops
Martin Pichl, Eva Zangerle, Günther Specht
2015 C conf
#Wikipedia on Twitter: analyzing tweets about Wikipedia.
OpenSym
Eva Zangerle, Georg Schmidhammer, Günther Specht
2015 — conf
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?
ICDM Workshops
Martin Pichl, Eva Zangerle, Günther Specht
2014 Misc conf
"Sorry, I was hacked": a classification of compromised twitter accounts.
SAC
Eva Zangerle, Günther Specht
2014 — conf
#nowplaying Music Dataset: Extracting Listening Behavior from Twitter.
WISMM
Eva Zangerle, Martin Pichl, Wolfgang Gassler, Günther Specht
2014 — conf
Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation.
Grundlagen von Datenbanken
Martin Pichl, Eva Zangerle, Günther Specht
2014 J jnl
Guided curation of semistructured data in collaboratively-built knowledge bases.
Future Gener. Comput. Syst.
Wolfgang Gassler, Eva Zangerle, Günther Specht
2013 J jnl
On the impact of text similarity functions on hashtag recommendations in microblogging environments.
Soc. Netw. Anal. Min.
Eva Zangerle, Wolfgang Gassler, Günther Specht
2012 — ch.
Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems.
Collaboration and the Semantic Web
Eva Zangerle, Wolfgang Gassler
2012 — conf
Exploiting Twitter's Collective Knowledge for Music Recommendations.
#MSM
Eva Zangerle, Wolfgang Gassler, Günther Specht
2012 — conf
SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information.
WWW (Companion Volume)
Wolfgang Gassler, Eva Zangerle, Martin Bürgler, Günther Specht
2011 — ed.
Proceedings of the 23rd GI-Workshop "Grundlagen von Datenbanken 2011", Obergurgl, Austria, May 31 - June 03, 2011
Grundlagen von Datenbanken
Wolfgang Gassler, Eva Zangerle, Günther Specht
2011 — conf
SpiderStore: A Native Main Memory Approach for Graph Storage.
Grundlagen von Datenbanken
Robert Binna, Wolfgang Gassler, Eva Zangerle, Dominic Pacher, Günther Specht
2011 — conf
The Snoopy Concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations.
CTS
Wolfgang Gassler, Eva Zangerle, Günther Specht
2011 — conf
Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments.
SocInfo
Eva Zangerle, Wolfgang Gassler, Günther Specht
2010 — conf
Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems.
Grundlagen von Datenbanken
Eva Zangerle, Wolfgang Gassler
2010 A conf
Recommending structure in collaborative semistructured information systems.
RecSys
Eva Zangerle, Wolfgang Gassler, Günther Specht
2010 — conf
SnoopyDB: narrowing the gap between structured and unstructured information using recommendations.
HT
Wolfgang Gassler, Eva Zangerle, Michael Tschuggnall, Günther Specht