Audio-based Recommendation
Audio-Based Recommendation is a content-based recommendation approach that specifically utilizes audio signals as the primary input modality to extract and leverage acoustic features for generating personalized recommendations.
83
Publications
4.8K
Citations
238
Authors
82
Institutions
Publications per year
2017–2026
36
Parents
83
A new approach to evaluating novel recommendations
Òscar Celma, Perfecto Herrera · 2008 · 211 citations
Automatic Generation of Social Tags for Music Recommendation
Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux et al. · neural information processing systems · 2007 · 184 citations
Kazuyoshi Yoshii, Masataka Goto, Kazunori Komatani et al. · IEEE Transactions on Audio Speech and Language Processing · 2008 · 152 citations · Full text
1–5 of 83
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Austrian Research Institute for Artificial Intelligence, Austria
4 publications · 73 citations
4
h-index
1–5 of 238
82

Johannes Kepler University of Linz
Linz, Austria
10 h-index
23 publications
569 citations

Universitat Pompeu Fabra
Barcelona, Spain
7 h-index
17 publications
1.8K citations
University of California San Diego
San Diego, United States
4 h-index
8 publications
716 citations

Universität Innsbruck
Innsbruck, Austria
4 h-index
5 publications
112 citations
Research Center for Information Technology Innovation, Academia Sinica
Taipei, Taiwan
3 h-index
7 publications
169 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
3 h-index
4 publications
314 citations
Politecnico di Milano
Milan, Italy
3 h-index
5 publications
148 citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
2 h-index
4 publications
134 citations
1–8 of 82
Repository · 2 publications · 36 citations
2
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2 publications · 286 citations
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2 publications · 252 citations
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1 publications · 13 citations
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1 publications · 85 citations
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