Martin Pichl
TitelZitiert vonJahr
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
272015
# 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
262014
Understanding playlist creation on music streaming platforms
M Pichl, E Zangerle, G Specht
2016 IEEE International Symposium on Multimedia (ISM), 475-480, 2016
142016
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
142014
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
112017
An empirical evaluation of property recommender systems for Wikidata and collaborative knowledge bases
E Zangerle, W Gassler, M Pichl, S Steinhauser, G Specht
Proceedings of the 12th International Symposium on Open Collaboration, 18, 2016
82016
# nowplaying on# spotify: leveraging Spotify information on Twitter for artist recommendations
M Pichl, E Zangerle, G Specht
International Conference on Web Engineering, 163-174, 2015
82015
Can Microblogs Predict Music Charts? An Analysis of the Relationship Between# Nowplaying Tweets and Music Charts.
E Zangerle, M Pichl, B Hupfauf, G Specht
ISMIR, 365-371, 2016
72016
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
62018
Mining culture-specific music listening behavior from social media data
M Pichl, E Zangerle, G Specht, M Schedl
2017 IEEE International Symposium on Multimedia (ISM), 208-215, 2017
42017
Hierarchical Multilabel Classification and Voting for Genre Classification.
B Murauer, M Mayerl, M Tschuggnall, E Zangerle, M Pichl, G Specht
MediaEval, 2017
32017
Culture-Aware Music Recommendation
E Zangerle, M Pichl, M Schedl
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
22018
Understanding user-curated playlists on spotify: A machine learning approach
M Pichl, E Zangerle, G Specht
International Journal of Multimedia Data Engineering and Management (IJMDEM …, 2017
12017
Latent Feature Combination for Multi-Context Music Recommendation
M Pichl, E Zangerle
2018 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2018
2018
Carl: Sports Award Recommender.
M Pichl, B Pichl, E Zangerle
eCOM@ SIGIR, 2018
2018
Multi-Context-Aware Recommender Systems: A Study on Music Recommendation
M Pichl
University of Innsbruck, 2018
2018
CONTENT-BASED USER MODELS: MODELING THE MANY FACES OF MUSICAL PREFERENCE
E Zangerle, M Pichl
TEERS—Tool for Experimental Evaluation of Recommendation Systems
M Vötter, E Zangerle, M Pichl, G Specht
Evaluation of Property Recommenders for Wikidata
S Steinhauser, W Gassler, M Pichl, E Zangerle
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