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Andreu Vall, MSc Department of Computational Perception Johannes Kepler University (JKU) Linz Altenberger Str. 69, A-4040 Linz, Austria Science Park 3, 4th Floor Room 442 Tel: +43 732 2468 4717 E-Mail: |
2018
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership (preprint) Vall, A., Dorfer, M., Schedl, M., Widmer, G. To appear in Proceedings of the 33rd Symposium on Applied Computing (SAC). Pau, France. Paper
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2017
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs Vall, A., Eghbal-zadeh, H., Dorfer, M., Schedl, M., Widmer, G. In Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems (DLRS), at the 11th Conference on Recommender Systems (RecSys). Como, Italy. Paper, Code, Slides
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The Importance of Song Context in Music Playlists Vall, A., Schedl, M., Widmer, G., Quadrana, M., Cremonesi, P. In Proceedings of the Poster Track of the 11th Conference on Recommender Systems (RecSys). Como, Italy. Paper, Poster
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How Item Discovery Enabled by Diversity Leads to Increased Recommendation List Attractiveness Ferwerda, B., Graus, M., Vall, A., Tkalčič, M., Schedl, M. In Proceedings of the 32nd Symposium on Applied Computing (SAC). Marrakesh, Morocco.
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End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss Dorfer, M., Schlüter, J., Vall, A., Korzeniowski, F., Widmer, G. arXiv:1705.06979 [cs.IR] Paper
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2016
Timbral and Semantic Features for Music Playlists Vall, A., Eghbal-zadeh, H., Dorfer, M. and Schedl, M. Accepted presentation at the Machine Learning for Music Discovery Workshop, at the International Conference on Machine Learning (ICML). New York City, NY, USA. Paper, Poster, Slides
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The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists Ferwerda, B., Graus, M., Vall, A., Tkalcic, M., Schedl, M. In Extended Proceedings of the 10th Conference on Recommender Systems (RecSys), at the 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). Boston, MA, USA.
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Exploring Music Diversity Needs Across Countries Ferwerda, B., Vall, A., Tkalcic, M. and Schedl, M. In Proceedings of the 23rd International Conference on User Modeling, Adaptation, and Personalization (UMAP). Halifax, Nova Scotia, Canada.
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The Role of Quick Response in Accelerating Sales of Fashion Goods Lago, A., Martínez-de-Albéniz, V., Moscoso, Ph., Vall, A. Book chapter in Tsan-Ming Choi (Ed.), Analytical Modeling Research in Fashion Business. Springer.
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2015
Listener-Inspired Automated Music Playlist Generation Vall, A. In Proceedings of the 9th ACM Recommender Systems Conference (RecSys). Vienna, Austria. Paper, Code, Poster, Slides
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Improving Music Recommendations with a Weighted Factorization of the Tagging Activity Vall, A., Skowron, M., Knees, P. and Schedl, M. In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR). Málaga, Spain. Paper, Code, Poster
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2014
Impact of Listening Behavior on Music Recommendation
Farrahi, K., Schedl, M., Vall, A., Hauger, D. and Tkalčič, M. In Proceedings of 15th International Society for Music Information Retrieval Conference (ISMIR), Taipei, Taiwan. Paper
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User Geospatial Context for Music Recommendation in Microblogs Schedl, M., Vall, A. and Farrahi, K. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Gold Coast, Australia. Paper
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Reviewing