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M. Schedl

32 papers hereh-index 519k citations323 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author19
  • last author9

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.IR26
  • cs.LG2
  • cs.SD2
  • cs.CL1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedCurrent Challenges and Visions in Music Recommender Systems Research

313 citations · 852 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.IR2018★ 3 cited

An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation

Hamed Zamani, Markus Schedl, Paul Lamere +1

The ACM Recommender Systems Challenge 2018 focused on the task of automatic music playlist continuation, which is a form of the more general task of sequential recommendation. Give…

cs.IR2018★ 4 cited

The Importance of Song Context and Song Order in Automated Music Playlist Generation

Andreu Vall, Massimo Quadrana, Markus Schedl +1

The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening sessio…

cs.IR2018★ 15 cited

A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership

Andreu Vall, Matthias Dorfer, Markus Schedl +1

Automated music playlist continuation is a common task of music recommender systems, that generally consists in providing a fitting extension to a given playlist. Collaborative fil…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.