Eva Zangerle

According to our database1, Eva Zangerle
  • authored at least 24 papers between 2010 and 2017.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 



On csauthors.net:


Understanding User-Curated Playlists on Spotify: A Machine Learning Approach.
IJMDEM, 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

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

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

#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

Guided curation of semistructured data in collaboratively-built knowledge bases.
Future Generation Comp. 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

On the impact of text similarity functions on hashtag recommendations in microblogging environments.
Social Netw. Analys. Mining, 2013

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

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

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