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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 2020Show all

3 papers · 1 filter

cs.IR2020★ 14 cited

Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes

Markus Schedl, Christine Bauer, Wolfgang Reisinger +2

Music preferences are strongly shaped by the cultural and socio-economic background of the listener, which is reflected, to a considerable extent, in country-specific music listeni…

cs.IR2020★ 47 cited

Do Neural Ranking Models Intensify Gender Bias?

Navid Rekabsaz, Markus Schedl

Concerns regarding the footprint of societal biases in information retrieval (IR) systems have been raised in several previous studies. In this work, we examine various recent IR m…

cs.IR2020

Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations

Dominik Kowald, Elisabeth Lex, Markus Schedl

In this paper, we introduce a psychology-inspired approach to model and predict the music genre preferences of different groups of users by utilizing human memory processes. These…

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