Martin Pichl

Martin Pichl, MSc.

Tel: +43 512 507 53320
Fax
+43 512 507 53059
Office
ICT building, 2nd floor, room 3S01

Martin Pichl is PhD student and university assistant in the DBIS-Group. He is focusing on (music) recommender systems but is generally interested in data science, machine learning and information retrieval.

Publications

2017

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Martin Pichl, Eva Zangerle and Günther Specht: Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, pages 201-208. ACM, 2017

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Martin Pichl, Eva Zangerle and Günther Specht: Understanding User-curated Playlists on Spotify: A Machine Learning Approach. In International Journal of Multimedia Data Engineering and Management IJMDEM, vol. 8, no. 4. 2017

2016

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Martin Pichl, Eva Zangerle and Günther Specht: Understanding Playlist Creation on Music Streaming Platforms. In Proceedings of the IEEE Symposium on Multimedia (ISM). IEEE, 2016.

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Eva Zangerle, Martin Pichl, Benedikt Hupfauf and Günther Specht: Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts. In Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016, pages 365-371. ISMIR, 2016.

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Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser and Günther Specht: An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. In Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016, Berlin, Germany, August 17-19, 2016, pages 18:1-18:8. ACM, 2016.

2015

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Martin Pichl, Eva Zangerle and Günther Specht: Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?. In 15th IEEE International Conference on Data Mining Workshops (ICDM 2016), pages 1360-1365. IEEE, 2015.

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Martin Pichl, Eva Zangerle and Günther Specht: #nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. In Current Trends in Web Engineering, 15th International Conference, ICWE 2015 Workshops (Revised Selected Papers), pages 163-174. Springer, 2015.

2014

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Martin Pichl, Eva Zangerle and Günther Specht: Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. In Proceedings of the 26nd Workshop Grundlagen von Datenbanken (GvDB 2014), Ritten, Italy, vol. 1313, pages 35-40. CEUR-WS.org, oct 2014.

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Eva Zangerle, Martin Pichl, Wolfgang Gassler and Günther Specht: #nowplaying Music Dataset: Extracting Listening Behavior from Twitter. In Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management, pages 21-26. ACM, June 2014.