Martin Pichl

According to our database, Martin Pichl authored at least 19 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Height Optimized Tries.

Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis

ACM Trans. Database Syst., 2022

2021

User models for multi-context-aware music recommendation.

Martin Pichl, Eva Zangerle

Multim. Tools Appl., 2021

2020

User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues.

Eva Zangerle, Martin Pichl, Markus Schedl

Trans. Int. Soc. Music. Inf. Retr., 2020

2018

Culture-Aware Music Recommendation.

Eva Zangerle, Martin Pichl, Markus Schedl

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

HOT: A Height Optimized Trie Index for Main-Memory Database Systems.

Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis

Proceedings of the 2018 International Conference on Management of Data, 2018

Carl: Sports Award Recommender.

Martin Pichl, Bernward Pichl, Eva Zangerle

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

The Many Faces of Users: Modeling Musical Preference.

Eva Zangerle, Martin Pichl

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Latent Feature Combination for Multi-Context Music Recommendation.

Martin Pichl, Eva Zangerle

Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017

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

Martin Pichl, Eva Zangerle, Günther Specht

Int. J. Multim. Data Eng. Manag., 2017

Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach.

Martin Pichl, Eva Zangerle, Günther Specht

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Hierarchical Multilabel Classification and Voting for Genre Classification.

Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht

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.

Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

2016

An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases.

Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser, Günther Specht

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.

Eva Zangerle, Martin Pichl, Benedikt Hupfauf, Günther Specht

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Understanding Playlist Creation on Music Streaming Platforms.

Martin Pichl, Eva Zangerle, Günther Specht

Proceedings of the IEEE International Symposium on Multimedia, 2016

2015

#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations.

Martin Pichl, Eva Zangerle, Günther Specht

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?

Martin Pichl, Eva Zangerle, Günther Specht

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

#nowplaying Music Dataset: Extracting Listening Behavior from Twitter.

Eva Zangerle, Martin Pichl, Wolfgang Gassler, Günther Specht

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.

Martin Pichl, Eva Zangerle, Günther Specht

Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, 2014