Các bài viết có thể truy cập công khai - Peter KneesTìm hiểu thêm
Không có ở bất kỳ nơi nào: 2
Music retrieval and recommendation: A tutorial overview
P Knees, M Schedl
Proceedings of the 38th International ACM SIGIR conference on research and …, 2015
Các cơ quan ủy nhiệm: Austrian Science Fund
11 Listener awareness in music recommender systems: directions and current trends
P Knees, M Schedl, B Ferwerda, A Laplante
Personalized Human-Computer Interaction, 279, 2023
Các cơ quan ủy nhiệm: Austrian Science Fund
Có tại một số nơi: 50
Music recommender systems
M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas
Recommender systems handbook, 453-492, 2015
Các cơ quan ủy nhiệm: Austrian Science Fund
A survey of music similarity and recommendation from music context data
P Knees, M Schedl
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
Các cơ quan ủy nhiệm: Austrian Science Fund
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
Các cơ quan ủy nhiệm: Austrian Science Fund
Using block-level features for genre classification, tag classification and music similarity estimation
K Seyerlehner, M Schedl, T Pohle, P Knees
Submission to Audio Music Similarity and Retrieval Task of MIREX 2010 (2), 3, 2010
Các cơ quan ủy nhiệm: Austrian Science Fund
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other.
S Böck, MEP Davies, P Knees
ISMIR, 486-493, 2019
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges
Y Deldjoo, M Schedl, P Knees
arXiv preprint arXiv:2107.11803, 2021
Các cơ quan ủy nhiệm: Austrian Science Fund
New paths in music recommender systems research
M Schedl, P Knees, F Gouyon
Proceedings of the Eleventh ACM Conference on Recommender Systems, 392-393, 2017
Các cơ quan ủy nhiệm: Austrian Science Fund
Automatic music tag classification based on block-level
K Seyerlehner, G Widmer, M Schedl, P Knees
Proceedings of Sound and Music Computing 2010, 2010
Các cơ quan ủy nhiệm: Austrian Science Fund
Frame level audio similarity-a codebook approach
K Seyerlehner, G Widmer, P Knees
Proc. of the 11th Int. Conf. on Digital Audio Effects (DAFx-08), 31, 2008
Các cơ quan ủy nhiệm: Austrian Science Fund
Exploring the music similarity space on the web
M Schedl, T Pohle, P Knees, G Widmer
ACM Transactions on Information Systems (TOIS) 29 (3), 1-24, 2011
Các cơ quan ủy nhiệm: Austrian Science Fund
Improving neighborhood-based collaborative filtering by reducing hubness
P Knees, D Schnitzer, A Flexer
Proceedings of International Conference on Multimedia Retrieval, 161-168, 2014
Các cơ quan ủy nhiệm: Austrian Science Fund
A music information system automatically generated via web content mining techniques
M Schedl, G Widmer, P Knees, T Pohle
Information Processing & Management 47 (3), 426-439, 2011
Các cơ quan ủy nhiệm: Austrian Science Fund
A comparison of human, automatic and collaborative music genre classification and user centric evaluation of genre classification systems
K Seyerlehner, G Widmer, P Knees
Adaptive Multimedia Retrieval. Context, Exploration, and Fusion: 8th …, 2011
Các cơ quan ủy nhiệm: Austrian Science Fund
Augmenting text-based music retrieval with audio similarity
P Knees, T Pohle, M Schedl, D Schnitzer, K Seyerlehner, G Widmer
Proc. of ISMIR, 579-584, 2009
Các cơ quan ủy nhiệm: Austrian Science Fund
A document-centered approach to a natural language music search engine
P Knees, T Pohle, M Schedl, D Schnitzer, K Seyerlehner
European Conference on Information Retrieval, 627-631, 2008
Các cơ quan ủy nhiệm: Austrian Science Fund
What's Hot? Estimating Country-specific Artist Popularity.
M Schedl, T Pohle, N Koenigstein, P Knees
ISMIR, 117-122, 2010
Các cơ quan ủy nhiệm: Austrian Science Fund
Browsing Music Recommendation Networks.
K Seyerlehner, P Knees, D Schnitzer, G Widmer
ISMIR, 129-134, 2009
Các cơ quan ủy nhiệm: Austrian Science Fund
Personalization in multimodal music retrieval
M Schedl, P Knees
International Workshop on Adaptive Multimedia Retrieval, 58-71, 2011
Các cơ quan ủy nhiệm: Austrian Science Fund
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ