Eva Zangerle

Orcid: 0000-0003-3195-8273

Affiliations:
  • Universität Innsbruck, Austria


According to our database1, Eva Zangerle authored at least 86 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives.
Trans. Recomm. Syst., March, 2024

Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation.
Trans. Recomm. Syst., March, 2024

PAN24 Multi-Author Writing Style Analysis.
Dataset, February, 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract.
Proceedings of the Advances in Information Retrieval, 2024

2023
Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023.
SIGIR Forum, December, 2023

Evaluating Recommender Systems: Survey and Framework.
ACM Comput. Surv., 2023

Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023).
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract.
Proceedings of the Advances in Information Retrieval, 2023

Overview of the Multi-Author Writing Style Analysis Task at PAN 2023.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness.
Proceedings of the Datenbanksysteme für Business, 2023

Pairwise Learning to Rank for Hit Song Prediction.
Proceedings of the Datenbanksysteme für Business, 2023

2022
Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022.
SIGIR Forum, December, 2022

Height Optimized Tries.
ACM Trans. Database Syst., 2022

HSP Datasets: Insights on Song Popularity Prediction.
Int. J. Semantic Comput., 2022

Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022).
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract.
Proceedings of the Advances in Information Retrieval, 2022

Overview of the Style Change Detection Task at PAN 2022.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Leveraging Affective Hashtags for Ranking Music Recommendations.
IEEE Trans. Affect. Comput., 2021

Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys 2021.
SIGIR Forum, 2021

User models for multi-context-aware music recommendation.
Multim. Tools Appl., 2021

Support the underground: characteristics of beyond-mainstream music listeners.
EPJ Data Sci., 2021

Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES).
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Recognizing Song Mood and Theme: Clustering-based Ensembles.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Novel Datasets for Evaluating Song Popularity Prediction Tasks.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Co-rating Attacks on Recommendation Algorithms.
Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanken, Online Event, 2021

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract.
Proceedings of the Advances in Information Retrieval, 2021

Overview of the Style Change Detection Task at PAN 2021.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues.
Trans. Int. Soc. Music. Inf. Retr., 2020

Personality Bias of Music Recommendation Algorithms.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020


Overview of the Style Change Detection Task at PAN 2020.
Proceedings of the Working Notes of CLEF 2020, 2020

A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter.
Proceedings of the Working Notes of CLEF 2020, 2020

Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

2019
Creative GANs for generating poems, lyrics, and metaphors.
CoRR, 2019

Article quality classification on Wikipedia: introducing document embeddings and content features.
Proceedings of the 15th International Symposium on Open Collaboration, 2019

Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings.
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Hit Song Prediction: Leveraging Low- and High-Level Audio Features.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Autoencoders for Next-Track-Recommendation.
Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, 2019

Language Models for Next-Track Music Recommendation.
Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, 2019

Overview of the Style Change Detection Task at PAN 2019.
Proceedings of the Working Notes of CLEF 2019, 2019

Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
Culture-Aware Music Recommendation.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome &Organization.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

HOT: A Height Optimized Trie Index for Main-Memory Database Systems.
Proceedings of the 2018 International Conference on Management of Data, 2018

Carl: Sports Award Recommender.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

geMsearch: Personalized Explorative Music Search.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

The Many Faces of Users: Modeling Musical Preference.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists.
Proceedings of the Advances in Information Retrieval, 2018

Latent Feature Combination for Multi-Context Music Recommendation.
Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017
Understanding User-Curated Playlists on Spotify: A Machine Learning Approach.
Int. J. Multim. Data Eng. Manag., 2017

Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Hierarchical Multilabel Classification and Voting for Genre Classification.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Mining Culture-Specific Music Listening Behavior from Social Media Data.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

A Peer-Based Approach on Analyzing Hacked Twitter Accounts.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
SentiStorm: Echtzeit-Stimmungserkennung von Tweets.
HMD Prax. Wirtsch., 2016

An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases.
Proceedings of the 12th International Symposium on Open Collaboration, 2016

Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Understanding Playlist Creation on Music Streaming Platforms.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015
#Wikipedia on Twitter: analyzing tweets about Wikipedia.
Proceedings of the 11th International Symposium on Open Collaboration, 2015

#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations.
Proceedings of the Current Trends in Web Engineering - 15th International Conference, 2015

Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Guided curation of semistructured data in collaboratively-built knowledge bases.
Future Gener. Comput. Syst., 2014

"Sorry, I was hacked": a classification of compromised twitter accounts.
Proceedings of the Symposium on Applied Computing, 2014

#nowplaying Music Dataset: Extracting Listening Behavior from Twitter.
Proceedings of the First International Workshop on Internet-Scale Multimedia Management, 2014

Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation.
Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, 2014

2013
On the impact of text similarity functions on hashtag recommendations in microblogging environments.
Soc. Netw. Anal. Min., 2013

2012
SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information.
Proceedings of the 21st World Wide Web Conference, 2012

Exploiting Twitter's Collective Knowledge for Music Recommendations.
Proceedings of the WWW'12 Workshop on 'Making Sense of Microposts', 2012

Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems.
Proceedings of the Collaboration and the Semantic Web, 2012

2011
Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments.
Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011

SpiderStore: A Native Main Memory Approach for Graph Storage.
Proceedings of the 23rd GI-Workshop "Grundlagen von Datenbanken 2011", Obergurgl, Austria, May 31, 2011

The Snoopy Concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations.
Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, 2011

2010
Recommending structure in collaborative semistructured information systems.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

SnoopyDB: narrowing the gap between structured and unstructured information using recommendations.
Proceedings of the HT'10, 2010

Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems.
Proceedings of the 22nd Workshop "Grundlagen von Datenbanken 2010", Bad Helmstedt, 2010


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