Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems. - Eva Zangerle; Wolfgang Gassler (Grundlagen von Datenbanken, 2010)

SnoopyDB: narrowing the gap between structured and unstructured information using recommendations. - Wolfgang Gassler; Eva Zangerle; Michael Tschuggnall; Günther Specht (HT, 2010)

Recommending structure in collaborative semistructured information systems. - Eva Zangerle; Wolfgang Gassler; Günther Specht (RecSys, 2010)

The Snoopy Concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations. - Wolfgang Gassler; Eva Zangerle; Günther Specht (CTS, 2011)

SpiderStore: A Native Main Memory Approach for Graph Storage. - Robert Binna; Wolfgang Gassler; Eva Zangerle; Dominic Pacher; Günther Specht (Grundlagen von Datenbanken, 2011)

Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments. - Eva Zangerle; Wolfgang Gassler; Günther Specht (SocInfo, 2011)

Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems. - Eva Zangerle; Wolfgang Gassler (Collaboration and the Semantic Web, 2012)

Exploiting Twitter's Collective Knowledge for Music Recommendations. - Eva Zangerle; Wolfgang Gassler; Günther Specht (#MSM, 2012)

SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information. - Wolfgang Gassler; Eva Zangerle; Martin Bürgler; Günther Specht (WWW (Companion Volume), 2012)

On the impact of text similarity functions on hashtag recommendations in microblogging environments. - Eva Zangerle; Wolfgang Gassler; Günther Specht (Soc. Netw. Anal. Min., 2013)

Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. - Martin Pichl; Eva Zangerle; Günther Specht (Grundlagen von Datenbanken, 2014)

#nowplaying Music Dataset: Extracting Listening Behavior from Twitter. - Eva Zangerle; Martin Pichl; Wolfgang Gassler; Günther Specht (WISMM, 2014)

"Sorry, I was hacked": a classification of compromised twitter accounts. - Eva Zangerle; Günther Specht (SAC, 2014)

Guided curation of semistructured data in collaboratively-built knowledge bases. - Wolfgang Gassler; Eva Zangerle; Günther Specht (Future Gener. Comput. Syst., 2014)

Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name? - Martin Pichl; Eva Zangerle; Günther Specht (ICDM Workshops, 2015)

#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. - Martin Pichl; Eva Zangerle; Günther Specht (ICWE Workshops, 2015)

#Wikipedia on Twitter: analyzing tweets about Wikipedia. - Eva Zangerle; Georg Schmidhammer; Günther Specht (OpenSym, 2015)

Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links. - Eva Zangerle; Georg Schmidhammer; Günther Specht (HICSS, 2016)

Understanding Playlist Creation on Music Streaming Platforms. - Martin Pichl; Eva Zangerle; Günther Specht (ISM, 2016)

Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts. - Eva Zangerle; Martin Pichl; Benedikt Hupfauf; Günther Specht (ISMIR, 2016)

An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. - Eva Zangerle; Wolfgang Gassler; Martin Pichl; Stefan Steinhauser; Günther Specht (OpenSym, 2016)

SentiStorm: Echtzeit-Stimmungserkennung von Tweets. - Eva Zangerle; Martin Illecker; Günther Specht (HMD Prax. Wirtsch., 2016)

A Peer-Based Approach on Analyzing Hacked Twitter Accounts. - Benjamin Murauer; Eva Zangerle; Günther Specht (HICSS, 2017)

Mining Culture-Specific Music Listening Behavior from Social Media Data. - Martin Pichl; Eva Zangerle; Günther Specht; Markus Schedl (ISM, 2017)

Hierarchical Multilabel Classification and Voting for Genre Classification. - Benjamin Murauer; Maximilian Mayerl; Michael Tschuggnall; Eva Zangerle; Martin Pichl; Günther Specht (MediaEval, 2017)

Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach. - Martin Pichl; Eva Zangerle; Günther Specht (ICMR, 2017)

Understanding User-Curated Playlists on Spotify: A Machine Learning Approach. - Martin Pichl; Eva Zangerle; Günther Specht (Int. J. Multim. Data Eng. Manag., 2017)

Latent Feature Combination for Multi-Context Music Recommendation. - Martin Pichl; Eva Zangerle (CBMI, 2018)

ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists. - Eva Zangerle; Michael Tschuggnall; Stefan Wurzinger; Günther Specht (ECIR, 2018)

The Many Faces of Users: Modeling Musical Preference. - Eva Zangerle; Martin Pichl (ISMIR, 2018)

geMsearch: Personalized Explorative Music Search. - Christian Esswein; Markus Schedl; Eva Zangerle (IUI Workshops, 2018)

Carl: Sports Award Recommender. - Martin Pichl; Bernward Pichl; Eva Zangerle (eCOM@SIGIR, 2018)

HOT: A Height Optimized Trie Index for Main-Memory Database Systems. - Robert Binna; Eva Zangerle; Martin Pichl; Günther Specht; Viktor Leis (SIGMOD Conference, 2018)

UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome &Organization. - Ilknur Celik; Ilaria Torre 001; Frosina Koceva; Christine Bauer 001; Eva Zangerle; Bart P. Knijnenburg (UMAP (Adjunct Publication), 2018)

Culture-Aware Music Recommendation. - Eva Zangerle; Martin Pichl; Markus Schedl (UMAP, 2018)

Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. - Walter Daelemans; Mike Kestemont; Enrique Manjavacas; Martin Potthast; Francisco M. Rangel Pardo; Paolo Rosso; Günther Specht; Efstathios Stamatatos; Benno Stein 001; Michael Tschuggnall; Matti Wiegmann; Eva Zangerle (CLEF, 2019)

Overview of the Style Change Detection Task at PAN 2019. - Eva Zangerle; Michael Tschuggnall; Günther Specht; Benno Stein 001; Martin Potthast (CLEF (Working Notes), 2019)

Language Models for Next-Track Music Recommendation. - Maximilian Mayerl; Michael Vötter; Eva Zangerle; Günther Specht (Grundlagen von Datenbanken, 2019)

Autoencoders for Next-Track-Recommendation. - Michael Vötter; Eva Zangerle; Maximilian Mayerl; Günther Specht (Grundlagen von Datenbanken, 2019)

Hit Song Prediction: Leveraging Low- and High-Level Audio Features. - Eva Zangerle; Michael Vötter; Ramona Huber; Yi-Hsuan Yang (ISMIR, 2019)

MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. - Hsiao-Tzu Hung; Yu-Hua Chen; Maximilian Mayerl; Michael Vötter; Eva Zangerle; Yi-Hsuan Yang (MediaEval, 2019)

Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. - Maximilian Mayerl; Michael Vötter; Hsiao-Tzu Hung; Bo-Yu Chen; Yi-Hsuan Yang; Eva Zangerle (MediaEval, 2019)

Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. - Christine Bauer 001; Eva Zangerle (ImpactRS@RecSys, 2019)

Article quality classification on Wikipedia: introducing document embeddings and content features. - Manuel Schmidt; Eva Zangerle (OpenSym, 2019)

Creative GANs for generating poems, lyrics, and metaphors. - Asir Saeed; Suzana Ilic; Eva Zangerle (CoRR, 2019)

PAN19 Authorship Analysis: Style Change Detection. - Eva Zangerle; Michael Tschuggnall; Günther Specht; Martin Potthast; Benno Stein 001 (Zenodo, 2019)

PAN19 Authorship Analysis: Style Change Detection. - Eva Zangerle; Michael Tschuggnall; Günther Specht; Martin Potthast; Benno Stein 001 (Zenodo, 2019)

PAN19 Authorship Analysis: Style Change Detection. - Eva Zangerle; Michael Tschuggnall; Günther Specht; Martin Potthast; Benno Stein 001 (Zenodo, 2019)

Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. - 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; et al. (CLEF, 2020)

A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter. - Clemens Hörtenhuemer; Eva Zangerle (CLEF (Working Notes), 2020)

Overview of the Style Change Detection Task at PAN 2020. - Eva Zangerle; Maximilian Mayerl; Günther Specht; Martin Potthast; Benno Stein 001 (CLEF (Working Notes), 2020)

Shared Tasks on Authorship Analysis at PAN 2020. - Janek Bevendorff; Bilal Ghanem; Anastasia Giachanou; Mike Kestemont; Enrique Manjavacas; Martin Potthast; Francisco M. Rangel Pardo; Paolo Rosso; Günther Specht; Efstathios Stamatatos; Benno Stein 001; Matti Wiegmann; et al. (ECIR (2), 2020)

Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. - Meijun Liu; Eva Zangerle; Xiao Hu 001; Alessandro B. Melchiorre; Markus Schedl (ISMIR, 2020)

Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. - Michael Vötter; Maximilian Mayerl; Günther Specht; Eva Zangerle (MediaEval, 2020)

Personality Bias of Music Recommendation Algorithms. - Alessandro B. Melchiorre; Eva Zangerle; Markus Schedl (RecSys, 2020)

User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues. - Eva Zangerle; Martin Pichl; Markus Schedl (Trans. Int. Soc. Music. Inf. Retr., 2020)

PAN20 Authorship Analysis: Style Change Detection. - Eva Zangerle; Maximilian Mayerl; Michael Tschuggnall; Günther Specht; Martin Potthast; Benno Stein 001 (Zenodo, 2020)

PAN20 Authorship Analysis: Style Change Detection. - Eva Zangerle; Maximilian Mayerl; Michael Tschuggnall; Günther Specht; Martin Potthast; Benno Stein 001 (Zenodo, 2020)

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. - 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 001; et al. (CLEF, 2021)

Overview of the Style Change Detection Task at PAN 2021. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (CLEF (Working Notes), 2021)

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract. - 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 001; et al. (ECIR (2), 2021)

Co-rating Attacks on Recommendation Algorithms. - Manfred Moosleitner; Günther Specht; Eva Zangerle (GvDB, 2021)

Novel Datasets for Evaluating Song Popularity Prediction Tasks. - Michael Vötter; Maximilian Mayerl; Günther Specht; Eva Zangerle (ISM, 2021)

Recognizing Song Mood and Theme: Clustering-based Ensembles. - Maximilian Mayerl; Michael Vötter; Andreas Peintner; Günther Specht; Eva Zangerle (MediaEval, 2021)

Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). - Eva Zangerle; Christine Bauer 001; Alan Said (RecSys, 2021)

Support the underground: characteristics of beyond-mainstream music listeners. - Dominik Kowald; Peter Müllner; Eva Zangerle; Christine Bauer 001; Markus Schedl; Elisabeth Lex (EPJ Data Sci., 2021)

User models for multi-context-aware music recommendation. - Martin Pichl; Eva Zangerle (Multim. Tools Appl., 2021)

Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys 2021. - Eva Zangerle; Christine Bauer 001; Alan Said (SIGIR Forum, 2021)

Leveraging Affective Hashtags for Ranking Music Recommendations. - Eva Zangerle; Chih-Ming Chen 003; Ming-Feng Tsai; Yi-Hsuan Yang (IEEE Trans. Affect. Comput., 2021)

PAN21 Authorship Analysis: Style Change Detection. - Eva Zangerle; Maximilian Mayerl; Michael Tschuggnall; Martin Potthast; Benno Stein 001 (Zenodo, 2021)

PAN21 Authorship Analysis: Style Change Detection. - Eva Zangerle; Maximilian Mayerl; Michael Tschuggnall; Martin Potthast; Benno Stein 001 (Zenodo, 2021)

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (CIKM, 2022)

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. - 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; et al. (CLEF, 2022)

Overview of the Style Change Detection Task at PAN 2022. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (CLEF (Working Notes), 2022)

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. - 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; et al. (ECIR (2), 2022)

Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. - Maximilian Mayerl; Stefan Brandl; Günther Specht; Markus Schedl; Eva Zangerle (ISMIR, 2022)

Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). - Eva Zangerle; Christine Bauer 001; Alan Said (RecSys, 2022)

HSP Datasets: Insights on Song Popularity Prediction. - Michael Vötter; Maximilian Mayerl; Günther Specht; Eva Zangerle (Int. J. Semantic Comput., 2022)

Height Optimized Tries. - Robert Binna; Eva Zangerle; Martin Pichl; Günther Specht; Viktor Leis (ACM Trans. Database Syst., 2022)

PAN22 Authorship Analysis: Style Change Detection. - Eva Zangerle; Maximilian Mayerl; Michael Tschuggnall; Martin Potthast; Benno Stein 001 (Zenodo, 2022)

Music4All-Onion. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (Zenodo, 2022)

Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. - Eva Zangerle; Christine Bauer 001; Alan Said (SIGIR Forum, 2022)

Pairwise Learning to Rank for Hit Song Prediction. - Maximilian Mayerl; Michael Vötter; Günther Specht; Eva Zangerle (BTW, 2023)

Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. - Manfred Moosleitner; Günther Specht; Eva Zangerle (BTW, 2023)

Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview. - 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; et al. (CLEF, 2023)

Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (CLEF (Working Notes), 2023)

Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. - 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; et al. (ECIR (3), 2023)

HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. - Amir Reza Mohammadi; Amir-Hossein Karimi; Mahdi Bohlouli; Eva Zangerle; Günther Specht (GvDB, 2023)

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. - Andreas Peintner; Amir Reza Mohammadi; Eva Zangerle (RecSys, 2023)

Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). - Alan Said; Eva Zangerle; Christine Bauer 001 (RecSys, 2023)

Evaluating Recommender Systems: Survey and Framework. - Eva Zangerle; Christine Bauer 001 (ACM Comput. Surv., 2023)

Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023. - Alan Said; Eva Zangerle; Christine Bauer 001 (SIGIR Forum, 2023)

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. - 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; et al. (CLEF (2), 2024)

Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (CLEF (Working Notes), 2024)

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. - Janek Bevendorff; Xavier Bonet Casals; Berta Chulvi; Daryna Dementieva; Ashraf Elnagar; Dayne Freitag; Maik Fröbe; Damir Korencic; Maximilian Mayerl; Animesh Mukherjee 001; Alexander Panchenko; Martin Potthast; et al. (ECIR (6), 2024)

Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. - Amir Reza Mohammadi; Andreas Peintner; Michael Müller; Eva Zangerle (RecSys, 2024)

Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES). - Alan Said; Christine Bauer 001; Eva Zangerle (RecSys, 2024)

Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. - Marta Moscati; Hannah Strauß; Peer-Ole Jacobsen; Andreas Peintner; Eva Zangerle; Marcel Zentner; Markus Schedl (UMAP, 2024)

Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211). - Christine Bauer 001; Alan Said; Eva Zangerle (Dagstuhl Reports, 2024)

PAN24 Multi-Author Writing Style Analysis. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (Zenodo, 2024)

Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. - Christine Bauer 001; Alan Said; Eva Zangerle (Trans. Recomm. Syst., 2024)

Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. - Christine Bauer 001; Eva Zangerle; Alan Said (Trans. Recomm. Syst., 2024)

Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection. - 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; et al. (CLEF, 2025)

Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. - 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; et al. (ECIR (5), 2025)

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. - Andreas Peintner; Amir Reza Mohammadi; Michael Müller; Eva Zangerle (WWW, 2025)

Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. - Andreas Peintner; Marta Moscati; Yu Kinoshita; Richard Vogl; Peter Knees; Markus Schedl; Hannah Strauß; Marcel Zentner; Eva Zangerle (Trans. Int. Soc. Music. Inf. Retr., 2025)

PAN25 Multi-Author Writing Style Analysis. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (Zenodo, 2025)

PAN25 Multi-Author Writing Style Analysis. - Eva Zangerle; Maximilian Mayerl; Martin Potthast; Benno Stein 001 (Zenodo, 2025)

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. - Andreas Peintner; Marta Moscati; Emilia Parada-Cabaleiro; Markus Schedl; Eva Zangerle (CoRR, 2025)

Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search. - Andreas Peintner; Amir Reza Mohammadi; Eva Zangerle (Trans. Recomm. Syst., 2025)