Ang Li

ORCID: 0000-0002-5936-1914
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About
Contact & Profiles
Research Areas
  • Music and Audio Processing
  • Research on scale insects
  • Music Technology and Sound Studies
  • Neuroscience and Music Perception
  • Collembola Taxonomy and Ecology Studies
  • Invertebrate Taxonomy and Ecology
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques

Photon Spot (United States)
2024

In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to vast user base. While promising, this move presents significant challenges personalized recommendations. Unlike podcasts, audiobooks, initially available a fee, cannot be easily skimmed before purchase, posing higher stakes relevance of Furthermore, introducing new content type into an existing platform confronts extreme data sparsity, as most users are...

10.1145/3589335.3648339 article EN 2024-05-12

The rise of on-demand music streaming platforms and novel recommendation algorithms have brought a transformative shift in listening, where users an effectively endless supply new to discover. This study aims understand patterns, operationalizing as releases that are everyone, from the perspective genres. Leveraging tracks, users, data Spotify, we empirically analyze patterns 282K releases. We find genres often serve functional purposes, such classical for relaxation, consumed less....

10.1145/3614419.3644002 article EN 2024-04-17
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