M
Markus Schedl
Researcher at Johannes Kepler University of Linz
Publications - 297
Citations - 6498
Markus Schedl is an academic researcher from Johannes Kepler University of Linz. The author has contributed to research in topics: Recommender system & Music information retrieval. The author has an hindex of 38, co-authored 264 publications receiving 5202 citations.
Papers
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Book
Music Information Retrieval: Recent Developments and Applications
TL;DR: A survey of the field of Music Information Retrieval, in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches, is provided.
Proceedings ArticleDOI
The LFM-1b Dataset for Music Retrieval and Recommendation
TL;DR: The LFM-1b dataset of more than one billion music listening events created by more than 120,000 users of Last.fm is presented, with its substantial size and a wide range of additional user descriptors that reflect their music taste and consumption behavior.
Journal ArticleDOI
Current challenges and visions in music recommender systems research
TL;DR: In this article, the authors identify and shed light on what they believe are the most pressing challenges in recommender systems from both academic and industry perspectives, and detail possible future directions and visions for the further evolution of the field.
Proceedings ArticleDOI
Polyphonic piano note transcription with recurrent neural networks
Sebastian Böck,Markus Schedl +1 more
TL;DR: A new approach for polyphonic piano note onset transcription based on a recurrent neural network to simultaneously detect the onsets and the pitches of the notes from spectral features and generalizes much better than existing systems.
Journal ArticleDOI
A survey of music similarity and recommendation from music context data
Peter Knees,Markus Schedl +1 more
TL;DR: An overview of methods for music similarity estimation and music recommendation based on music context data is given and the characteristics of the presented context-based measures are elaborates and discusses their strengths as well as their weaknesses.