Andreu Vall
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User geospatial context for music recommendation in microblogs
M Schedl, A Vall, K Farrahi
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
282014
Exploring music diversity needs across countries
B Ferwerda, A Vall, M Tkalcic, M Schedl
Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016
242016
Impact of Listening Behavior on Music Recommendation.
K Farrahi, M Schedl, A Vall, D Hauger, M Tkalcic
232014
The influence of users' personality traits on satisfaction and attractiveness of diversified recommendation lists
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
CEUR-WS, 2016
212016
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss
M Dorfer, J Schlüter, A Vall, F Korzeniowski, G Widmer
International Journal of Multimedia Information Retrieval 7 (2), 117-128, 2018
192018
Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs
A Vall, H Eghbal-Zadeh, M Dorfer, M Schedl, G Widmer
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 46-54, 2017
162017
The Importance of Song Context in Music Playlists
A Vall, M Schedl, G Widmer, M Quadrana, P Cremonesi
142017
The role of quick response in accelerating sales of fashion goods
A Lago, V Martínez-de-Albéniz, P Moscoso, A Vall
Analytical Modeling Research in Fashion Business, 51-78, 2016
142016
Listener-inspired automated music playlist generation
A Vall
Proceedings of the 9th ACM Conference on Recommender Systems, 387-390, 2015
142015
A hybrid approach to music playlist continuation based on playlist-song membership
A Vall, M Dorfer, M Schedl, G Widmer
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1374-1382, 2018
112018
How item discovery enabled by diversity leads to increased recommendation list attractiveness
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
Proceedings of the Symposium on Applied Computing, 1693-1696, 2017
112017
Improving Music Recommendations with a Weighted Factorization of the Tagging Activity.
A Vall, M Skowron, P Knees, M Schedl
ISMIR, 65-71, 2015
92015
Feature-combination hybrid recommender systems for automated music playlist continuation
A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer
User Modeling and User-Adapted Interaction 29 (2), 527-572, 2019
62019
The importance of song context and song order in automated music playlist generation
A Vall, M Quadrana, M Schedl, G Widmer
arXiv preprint arXiv:1807.04690, 2018
62018
Order, context and popularity bias in next-song recommendations
A Vall, M Quadrana, M Schedl, G Widmer
International Journal of Multimedia Information Retrieval 8 (2), 101-113, 2019
52019
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ...
Available at SSRN 3561442, 2020
42020
Machine learning approaches to hybrid music recommender systems
A Vall, G Widmer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
32018
Timbral and Semantic Features for Music Playlists
A Vall, H Eghbal-zadeh, M Dorfer, M Schedl
32016
Towards explainable music emotion recognition: The route via mid-level features
S Chowdhury, A Vall, V Haunschmid, G Widmer
arXiv preprint arXiv:1907.03572, 2019
12019
The importance of song context in music playlists: Enabling recommendations in the long tail
A Vall, M Schedl, G Widmer, M Quadrana, P Cremonesi
2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster …, 2017
12017
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Artiklar 1–20