Martin Pichl

According to our database1, Martin Pichl authored at least 13 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 





Culture-Aware Music Recommendation.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

HOT: A Height Optimized Trie Index for Main-Memory Database Systems.
Proceedings of the 2018 International Conference on Management of Data, 2018

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

Mining Culture-Specific Music Listening Behavior from Social Media Data.
Proceedings of the 19th IEEE International Symposium on Multimedia, 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

#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

#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