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
Fax: +43 732 2468 4705

E-Mail: 


Publications

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

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

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

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.

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

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

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.

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.

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.

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

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

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

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

Reviewing



last edited by av on January 17, 18