Music recommendation systems: Techniques, use cases, and challenges
This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …
characteristics of the music domain. We take a user-centric perspective, by organizing our …
Current challenges and future directions in podcast information access
Podcasts are spoken documents across a wide-range of genres and styles, with growing
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …
systems, both in industry and research. These approaches recommend to the target user …
Follow the guides: disentangling human and algorithmic curation in online music consumption
The role of recommendation systems in the diversity of content consumption on platforms is
a much-debated issue. The quantitative state of the art often overlooks the existence of …
a much-debated issue. The quantitative state of the art often overlooks the existence of …
Music Recommender Systems: A Review Centered on Biases
Although there have been significant developments in music recommender systems (MRS),
artists interested in promoting their artistic career and listeners interested in exploring new …
artists interested in promoting their artistic career and listeners interested in exploring new …
Listener modeling and context-aware music recommendation based on country archetypes
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 listening …
the listener, which is reflected, to a considerable extent, in country-specific music listening …
[PDF][PDF] Can We Listen To It Together?: Factors Influencing Reception of Music Recommendations and Post-Recommendation Behavior.
JH Lee, L Pritchard, C Hubbles - ISMIR, 2019 - gamer.ischool.uw.edu
Few prior studies on music recommendations investigate the context in which users receive
the recommendations, and what impact the recommendation has on the user. In this paper …
the recommendations, and what impact the recommendation has on the user. In this paper …
A systematic review of deep knowledge graph-based recommender systems, with focus on explainable embeddings
Recommender systems (RS) have been developed to make personalized suggestions and
enrich users' preferences in various online applications to address the information explosion …
enrich users' preferences in various online applications to address the information explosion …
[PDF][PDF] The music listening histories dataset.
G Vigliensoni, I Fujinaga - ISMIR, 2017 - simssa.ca
ABSTRACT We introduce the Music Listening Histories Dataset (MLHD), a large-scale
collection of music listening events assembled from more than 27 billion time-stamped logs …
collection of music listening events assembled from more than 27 billion time-stamped logs …
SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks
Artists and the works of artists are an important part of art history. Existing studies on artists
mainly focus on the formation and transformation factors of artistic styles of individual artists …
mainly focus on the formation and transformation factors of artistic styles of individual artists …