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ORCIDEva Zangerle
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- affiliation: Universität Innsbruck, Austria
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2020 – today
- 2025
[c75]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, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. ECIR (5) 2025: 434-441- [c74]Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle:
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. WWW 2025: 3809-3818 - [i5]Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle:
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CoRR abs/2502.13763 (2025) - 2024
- [j16]Christine Bauer
, Alan Said, Eva Zangerle:
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. Trans. Recomm. Syst. 2(1): 1:1-1:5 (2024) - [j15]Christine Bauer, Eva Zangerle, Alan Said:
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. Trans. Recomm. Syst. 2(1): 11:1-11:31 (2024) - [c73]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, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. CLEF (2) 2024: 231-259 - [c72]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. CLEF (Working Notes) 2024: 2424-2431 - [c71]Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - [c70]Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle:
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. RecSys 2024: 1113-1118 - [c69]Alan Said, Christine Bauer, Eva Zangerle:
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES). RecSys 2024: 1237-1238 - [c68]Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl:
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. UMAP 2024: 159-164 - [e6]Axel Soto, Eva Zangerle:
Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), Greenville, South Carolina, USA, March 18, 2024. CEUR Workshop Proceedings 3660, CEUR-WS.org 2024 [contents] - [d3]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
PAN24 Multi-Author Writing Style Analysis. Zenodo, 2024
- [i4]Christine Bauer, Alan Said, Eva Zangerle:
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211). Dagstuhl Reports 14(5): 58-172 (2024) - 2023
- [j14]Eva Zangerle, Christine Bauer:
Evaluating Recommender Systems: Survey and Framework. ACM Comput. Surv. 55(8): 170:1-170:38 (2023) - [j13]Alan Said, Eva Zangerle, Christine Bauer:
Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023. SIGIR Forum 57(2): 18:1-18:4 (2023) - [c67]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 - [c66]Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle:
Pairwise Learning to Rank for Hit Song Prediction. BTW 2023: 555-565 - [c65]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, 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 - Condensed Lab Overview. CLEF 2023: 459-481 - [c64]Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. CLEF (Working Notes) 2023: 2513-2522 - [c63]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 - [c62]Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht:
HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. GvDB 2023 - [c61]Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle:
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. RecSys 2023: 58-69 - [c60]Alan Said, Eva Zangerle, Christine Bauer:
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). RecSys 2023: 1221-1222 - [e5]Alan Said, Eva Zangerle, Christine Bauer:
Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September 19, 2023. CEUR Workshop Proceedings 3476, CEUR-WS.org 2023 [contents] - 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] - [d2]Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion. Zenodo, 2022 - [d1]Eva Zangerle, Maximilian Mayerl, Michael Tschuggnall, Martin Potthast, Benno Stein:
PAN22 Authorship Analysis: Style Change Detection. Zenodo, 2022 - 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
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