PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 2, 20251 citations

Evolving Music Consumption From Live Performances to Case Based Playlist Recommendations

View Full Paper
BWBryan Wira

Key Points

  • MAIN FINDING: The study reveals a major transition from live music and ownership to digital streaming and playlists.
  • KEY EVIDENCE: Data indicates that platforms like Spotify have fundamentally changed how users consume music today.
  • APPROACH: The work combines historical analysis of music technology with modern algorithmic methods for playlist generation.
  • SIGNIFICANCE: This contributes to understanding how music consumption has evolved, impacting user experience and industry practices.

Abstract

Historically, music was accessible primarily through live performances or personal rendition, with notation systems serving the elite. The evolution of sound reproduction technology— from mechanical music boxes to digital formats like CDs and streaming services—transformed music accessibility. This paper examines the shift from physical music ownership and album-based listening to digital streaming, highlighting how platforms like Spotify have changed music consumption habits. It then explores modern playlist generation methods, focusing on case-based recommendations and similarity-based solutions. While simplistic similarity-based approaches offer a foundational method for playlist creation, advanced algorithms like the Global- Local Similarity Function (GLSF) address smooth transitions between tracks, enhancing user experience. The study highlights the transition from music ownership to streaming and the ongoing quest to refine playlist algorithms.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bryan Wira (2025) studied this question.

synapsesocial.com/papers/689a0c7be6551bb0af8d04d1https://doi.org/10.31224/4955
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Global-Local Similarity Function for Automatic Playlist Generation2022 · 3 citations
  2. 2Case-Based Sequential Ordering of Songs for Playlist Recommendation2006 · 49 citations
  3. 3GENERATING SIMILARITY-BASED PLAYLISTS USING TRAVELING SALESMAN ALGORITHMS2005 · 58 citations
  4. 4Musical data mining for electronic music distribution2005 · 56 citations
  5. 5Music Recommendation From Song Sets.2004 · 107 citations