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Eva Zangerle
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Recommending#-tags in twitter
E Zangerle, W Gassler, G Specht
Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011 …, 2011
1582011
# 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
1072014
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
1052018
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
952019
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, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021
832021
"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
832014
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
822015
Evaluating recommender systems: survey and framework
E Zangerle, C Bauer
ACM Computing Surveys 55 (8), 1-38, 2022
802022
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, 889-898, 2013
702013
Overview of the Style Change Detection Task at PAN 2020.
E Zangerle, M Mayerl, M Potthast, B Stein
Clef (working notes) 93, 2020
612020
Using tag recommendations to homogenize folksonomies in microblogging environments
E Zangerle, W Gassler, G Specht
Social Informatics: Third International Conference, SocInfo 2011, Singapore …, 2011
562011
Hit Song Prediction: Leveraging Low-and High-Level Audio Features.
E Zangerle, M Vötter, R Huber, YH Yang
ISMIR, 319-326, 2019
462019
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
442022
Personality bias of music recommendation algorithms
AB Melchiorre, E Zangerle, M Schedl
Proceedings of the 14th ACM Conference on Recommender Systems, 533-538, 2020
442020
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, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th …, 2020
432020
Exploiting twitter’s collective knowledge for music recommendations
E Zangerle, W Gassler, G Specht
Proc. WWW Workshop:# MSM, 2012
432012
Understanding playlist creation on music streaming platforms
M Pichl, E Zangerle, G Specht
2016 IEEE International Symposium on Multimedia (ISM), 475-480, 2016
422016
Improving context-aware music recommender systems: Beyond the pre-filtering approach
M Pichl, E Zangerle, G Specht
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
362017
Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation.
M Pichl, E Zangerle, G Specht
Grundlagen von Datenbanken, 35-40, 2014
362014
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
352021
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