Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEva Zangerle
Person information
- affiliation: Universität Innsbruck, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j13]Eva Zangerle
, Christine Bauer:
Evaluating Recommender Systems: Survey and Framework. ACM Comput. Surv. 55(8): 170:1-170:38 (2023)- [c62]Manfred Moosleitner, Günther Specht, Eva Zangerle:
Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. BTW 2023: 221-232 - [c61]Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle:
Pairwise Learning to Rank for Hit Song Prediction. BTW 2023: 555-565 - [c60]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:
Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. ECIR (3) 2023: 518-526 - 2022
- [j12]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
HSP Datasets: Insights on Song Popularity Prediction. Int. J. Semantic Comput. 16(2): 233-255 (2022) - [j11]Eva Zangerle, Christine Bauer, Alan Said:
Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. SIGIR Forum 56(2): 15:1-15:4 (2022) - [j10]Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis:
Height Optimized Tries. ACM Trans. Database Syst. 47(1): 3:1-3:46 (2022) - [c59]Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. CIKM 2022: 4339-4343 - [c58]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:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. CLEF 2022: 382-394 - [c57]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2022. CLEF (Working Notes) 2022: 2344-2356 - [c56]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:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. ECIR (2) 2022: 331-338 - [c55]Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle:
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. ISMIR 2022: 884-890 - [c54]Eva Zangerle, Christine Bauer, Alan Said:
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). RecSys 2022: 652-653 - [e4]Eva Zangerle, Christine Bauer, Alan Said:
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. CEUR Workshop Proceedings 3228, CEUR-WS.org 2022 [contents] - 2021
- [j9]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Sci. 10(1): 14 (2021) - [j8]Martin Pichl, Eva Zangerle:
User models for multi-context-aware music recommendation. Multim. Tools Appl. 80(15): 22509-22531 (2021) - [j7]Eva Zangerle, Christine Bauer, Alan Said:
Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys 2021. SIGIR Forum 55(2): 16:1-16:5 (2021) - [j6]Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang:
Leveraging Affective Hashtags for Ranking Music Recommendations. IEEE Trans. Affect. Comput. 12(1): 78-91 (2021) - [c53]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:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. CLEF 2021: 419-431 - [c52]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2021. CLEF (Working Notes) 2021: 1760-1771 - [c51]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:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract. ECIR (2) 2021: 567-573 - [c50]Manfred Moosleitner, Günther Specht, Eva Zangerle:
Co-rating Attacks on Recommendation Algorithms. GvDB 2021 - [c49]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
Novel Datasets for Evaluating Song Popularity Prediction Tasks. ISM 2021: 166-173 - [c48]Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Clustering-based Ensembles. MediaEval 2021 - [c47]Eva Zangerle, Christine Bauer, Alan Said:
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). RecSys 2021: 794-795 - [e3]Eva Zangerle, Christine Bauer, Alan Said:
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. CEUR Workshop Proceedings 2955, CEUR-WS.org 2021 [contents] - [i3]Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR abs/2102.12188 (2021) - 2020
- [j5]Eva Zangerle, Martin Pichl, Markus Schedl:
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues. Trans. Int. Soc. Music. Inf. Retr. 3(1): 1-16 (2020) - [c46]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:
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. CLEF 2020: 372-383 - [c45]Clemens Hörtenhuemer, Eva Zangerle:
A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter. CLEF (Working Notes) 2020 - [c44]Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2020. CLEF (Working Notes) 2020 - [c43]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:
Shared Tasks on Authorship Analysis at PAN 2020. ECIR (2) 2020: 508-516 - [c42]Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl:
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. ISMIR 2020: 157-165 - [c41]Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. MediaEval 2020 - [c40]Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl:
Personality Bias of Music Recommendation Algorithms. RecSys 2020: 533-538 - [e2]Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse:
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020. 2020, ISBN 978-0-9813537-1-5 [contents] - [i2]Christine Bauer, Eva Zangerle:
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. CoRR abs/2001.04348 (2020)
2010 – 2019
- 2019
- [c39]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:
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. CLEF 2019: 402-416 - [c38]Eva Zangerle, Michael Tschuggnall, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Style Change Detection Task at PAN 2019. CLEF (Working Notes) 2019 - [c37]Maximilian Mayerl, Michael Vötter, Eva Zangerle, Günther Specht:
Language Models for Next-Track Music Recommendation. Grundlagen von Datenbanken 2019: 15-19 - [c36]Michael Vötter, Eva Zangerle, Maximilian Mayerl, Günther Specht:
Autoencoders for Next-Track-Recommendation. Grundlagen von Datenbanken 2019: 20-25 - [c35]Eva Zangerle, Michael Vötter, Ramona Huber, Yi-Hsuan Yang:
Hit Song Prediction: Leveraging Low- and High-Level Audio Features. ISMIR 2019: 319-326 - [c34]Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang:
MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. MediaEval 2019 - [c33]Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Bo-Yu Chen, Yi-Hsuan Yang, Eva Zangerle:
Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. MediaEval 2019 - [c32]Christine Bauer, Eva Zangerle:
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. ImpactRS@RecSys 2019 - [c31]Manuel Schmidt, Eva Zangerle:
Article quality classification on Wikipedia: introducing document embeddings and content features. OpenSym 2019: 13:1-13:8 - [i1]Asir Saeed, Suzana Ilic, Eva Zangerle:
Creative GANs for generating poems, lyrics, and metaphors. CoRR abs/1909.09534 (2019) - 2018
- [c30]Martin Pichl, Eva Zangerle:
Latent Feature Combination for Multi-Context Music Recommendation. CBMI 2018: 1-6 - [c29]Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger, Günther Specht:
ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists. ECIR 2018: 584-590 - [c28]Eva Zangerle, Martin Pichl:
The Many Faces of Users: Modeling Musical Preference. ISMIR 2018: 709-716 - [c27]Christian Esswein, Markus Schedl, Eva Zangerle:
geMsearch: Personalized Explorative Music Search. IUI Workshops 2018 - [c26]Martin Pichl, Bernward Pichl, Eva Zangerle:
Carl: Sports Award Recommender. eCOM@SIGIR 2018 - [c25]Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis:
HOT: A Height Optimized Trie Index for Main-Memory Database Systems. SIGMOD Conference 2018: 521-534 - [c24]Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart P. Knijnenburg:
UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome &Organization. UMAP (Adjunct Publication) 2018: 137-139 - [c23]Eva Zangerle, Martin Pichl, Markus Schedl:
Culture-Aware Music Recommendation. UMAP 2018: 357-358 - 2017
- [j4]Martin Pichl, Eva Zangerle, Günther Specht:
Understanding User-Curated Playlists on Spotify: A Machine Learning Approach. Int. J. Multim. Data Eng. Manag. 8(4): 44-59 (2017) - [c22]Benjamin Murauer, Eva Zangerle, Günther Specht:
A Peer-Based Approach on Analyzing Hacked Twitter Accounts. HICSS 2017: 1-10 - [c21]Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl:
Mining Culture-Specific Music Listening Behavior from Social Media Data. ISM 2017: 208-215 - [c20]Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht:
Hierarchical Multilabel Classification and Voting for Genre Classification. MediaEval 2017 - [c19]Martin Pichl, Eva Zangerle, Günther Specht:
Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach. ICMR 2017: 201-208 - 2016
- [j3]Eva Zangerle, Martin Illecker, Günther Specht:
SentiStorm: Echtzeit-Stimmungserkennung von Tweets. HMD Prax. Wirtsch. 53(4): 514-529 (2016) - [c18]Eva Zangerle, Georg Schmidhammer, Günther Specht:
Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links. HICSS 2016: 1920-1929 - [c17]Martin Pichl, Eva Zangerle, Günther Specht:
Understanding Playlist Creation on Music Streaming Platforms. ISM 2016: 475-480 - [c16]Eva Zangerle, Martin Pichl, Benedikt Hupfauf, Günther Specht:
Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts. ISMIR 2016: 365-371 - [c15]Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser, Günther Specht:
An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. OpenSym 2016: 18:1-18:8 - 2015
- [c14]Martin Pichl, Eva Zangerle, Günther Specht:
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name? ICDM Workshops 2015: 1360-1365 - [c13]Martin Pichl, Eva Zangerle, Günther Specht:
#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. ICWE Workshops 2015: 163-174 - [c12]Eva Zangerle, Georg Schmidhammer, Günther Specht:
#Wikipedia on Twitter: analyzing tweets about Wikipedia. OpenSym 2015: 14:1-14:8 - 2014
- [j2]Wolfgang Gassler, Eva Zangerle, Günther Specht:
Guided curation of semistructured data in collaboratively-built knowledge bases. Future Gener. Comput. Syst. 31: 111-119 (2014) - [c11]Martin Pichl, Eva Zangerle, Günther Specht:
Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. Grundlagen von Datenbanken 2014: 35-40 - [c10]Eva Zangerle, Martin Pichl, Wolfgang Gassler, Günther Specht:
#nowplaying Music Dataset: Extracting Listening Behavior from Twitter. WISMM 2014: 21-26 - [c9]Eva Zangerle, Günther Specht:
"Sorry, I was hacked": a classification of compromised twitter accounts. SAC 2014: 587-593 - 2013
- [j1]Eva Zangerle, Wolfgang Gassler, Günther Specht:
On the impact of text similarity functions on hashtag recommendations in microblogging environments. Soc. Netw. Anal. Min. 3(4): 889-898 (2013) - 2012
- [c8]Eva Zangerle, Wolfgang Gassler, Günther Specht:
Exploiting Twitter's Collective Knowledge for Music Recommendations. #MSM 2012: 14-17 - [c7]Wolfgang Gassler, Eva Zangerle, Martin Bürgler, Günther Specht:
SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information. WWW (Companion Volume) 2012: 511-512 - [p1]Eva Zangerle, Wolfgang Gassler:
Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems. Collaboration and the Semantic Web 2012: 1-20 - 2011
- [c6]Wolfgang Gassler, Eva Zangerle, Günther Specht:
The Snoopy Concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations. CTS 2011: 61-68 - [c5]Robert Binna, Wolfgang Gassler, Eva Zangerle, Dominic Pacher, Günther Specht:
SpiderStore: A Native Main Memory Approach for Graph Storage. Grundlagen von Datenbanken 2011: 91-96 - [c4]Eva Zangerle, Wolfgang Gassler, Günther Specht:
Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments. SocInfo 2011: 113-126 - [e1]Wolfgang Gassler, Eva Zangerle, Günther Specht:
Proceedings of the 23rd GI-Workshop "Grundlagen von Datenbanken 2011", Obergurgl, Austria, May 31 - June 03, 2011. CEUR Workshop Proceedings 733, CEUR-WS.org 2011 [contents] - 2010
- [c3]Eva Zangerle, Wolfgang Gassler:
Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems. Grundlagen von Datenbanken 2010 - [c2]Wolfgang Gassler, Eva Zangerle, Michael Tschuggnall, Günther Specht:
SnoopyDB: narrowing the gap between structured and unstructured information using recommendations. HT 2010: 271-272 - [c1]Eva Zangerle, Wolfgang Gassler, Günther Specht:
Recommending structure in collaborative semistructured information systems. RecSys 2010: 261-264
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-06-01 23:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
