TY - GEN
T1 - Room-based Playlist Arrangement System using Group Recommendation
AU - Li, Hsin Wei
AU - Sou, Sok Ian
AU - Hsieh, Hsun Ping
N1 - Funding Information:
This work was supported in part by the Ministry of Science and Technology (MOST), Taiwan, under Grant MOST 108-2628-E-006-006-MY3.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102198967&partnerID=8YFLogxK
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U2 - 10.1109/ICS51289.2020.00020
DO - 10.1109/ICS51289.2020.00020
M3 - Conference contribution
AN - SCOPUS:85102198967
T3 - Proceedings - 2020 International Computer Symposium, ICS 2020
SP - 50
EP - 54
BT - Proceedings - 2020 International Computer Symposium, ICS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Computer Symposium, ICS 2020
Y2 - 17 December 2020 through 19 December 2020
ER -