Room-based Playlist Arrangement System using Group Recommendation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a room-based environment, to arrange music to meet the preferences of people with uncertain presence, we propose a playlist arrangement system based on group recommendation by singular value decomposition. In group recommendation, we consider uncertain groups with three time-related definitions, historical, current, and predicted presence, enabling the system to provide more diverse playlists. The performance of system is experimented with synthesis data from two real-world datasets. In the pre-processing of data, simulation of time period for location domain dataset and conversion from implicit data to ratings for music domain dataset are used to obtain data needed. The result shows that the proposed system performs well upon providing music with high rating than popular music.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-54
Number of pages5
ISBN (Electronic)9781728192550
DOIs
Publication statusPublished - 2020 Dec
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 2020 Dec 172020 Dec 19

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
CountryTaiwan
CityTainan
Period20-12-1720-12-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Computational Mathematics

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