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Eva Zangerle
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Evaluating recommender systems: survey and framework
E Zangerle, C Bauer
ACM computing surveys 55 (8), 1-38, 2022
3572022
Recommending#-tags in twitter
E Zangerle, W Gassler, G Specht
Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011 …, 2011
1592011
HOT: A height optimized trie index for main-memory database systems
R Binna, E Zangerle, M Pichl, G Specht, V Leis
Proceedings of the 2018 International Conference on Management of Data, 521-534, 2018
1452018
# nowplaying music dataset: Extracting listening behavior from twitter
E Zangerle, M Pichl, W Gassler, G Specht
Proceedings of the first international workshop on internet-scale multimedia …, 2014
1392014
Overview of PAN 2021: authorship verification, profiling hate speech spreaders on twitter, and style change detection
J Bevendorff, B Chulvi, GL De La Peña Sarracén, M Kestemont, ...
International conference of the cross-language evaluation forum for european …, 2021
1122021
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection
W Daelemans, M Kestemont, E Manjavacas, M Potthast, F Rangel, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2019
1092019
Towards a context-aware music recommendation approach: What is hidden in the playlist name?
M Pichl, E Zangerle, G Specht
2015 IEEE international conference on data mining workshop (ICDMW), 1360-1365, 2015
982015
"Sorry, I was hacked": a classification of compromised twitter accounts
E Zangerle, G Specht
Proceedings of the 29th annual acm symposium on applied computing, 587-593, 2014
892014
Overview of the Style Change Detection Task at PAN 2020.
E Zangerle, M Mayerl, M Potthast, B Stein
CLEF (Working Notes) 93, 2020
882020
On the impact of text similarity functions on hashtag recommendations in microblogging environments
E Zangerle, W Gassler, G Specht
Social network analysis and mining 3 (4), 889-898, 2013
792013
Personality bias of music recommendation algorithms
AB Melchiorre, E Zangerle, M Schedl
Proceedings of the 14th ACM conference on recommender systems, 533-538, 2020
782020
Hit Song Prediction: Leveraging Low-and High-Level Audio Features.
E Zangerle, M Vötter, R Huber, YH Yang
ISMIR, 319-326, 2019
722019
Overview of pan 2020: Authorship verification, celebrity profiling, profiling fake news spreaders on twitter, and style change detection
J Bevendorff, B Ghanem, A Giachanou, M Kestemont, E Manjavacas, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2020
702020
Overview of pan 2022: Authorship verification, profiling irony and stereotype spreaders, and style change detection
J Bevendorff, B Chulvi, E Fersini, A Heini, M Kestemont, K Kredens, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2022
662022
Support the underground: characteristics of beyond-mainstream music listeners
D Kowald, P Muellner, E Zangerle, C Bauer, M Schedl, E Lex
EPJ Data Science 10 (1), 14, 2021
612021
Song lyrics have become simpler and more repetitive over the last five decades
E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ...
Scientific Reports 14 (1), 5531, 2024
592024
Understanding playlist creation on music streaming platforms
M Pichl, E Zangerle, G Specht
2016 IEEE International Symposium on Multimedia (ISM), 475-480, 2016
562016
Using tag recommendations to homogenize folksonomies in microblogging environments
E Zangerle, W Gassler, G Specht
International conference on social informatics, 113-126, 2011
522011
Overview of pan 2024: multi-author writing style analysis, multilingual text detoxification, oppositional thinking analysis, and generative ai authorship verification
J Bevendorff, XB Casals, B Chulvi, D Dementieva, A Elnagar, D Freitag, ...
European Conference on Information Retrieval, 3-10, 2024
492024
Overview of the Multi-Author Writing Style Analysis Task at PAN 2024.
E Zangerle, M Mayerl, M Potthast, B Stein
CLEF (Working Notes), 2424-2431, 2024
482024
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Articles 1–20