NDLI: Automatic playlist generation by applying tabu search

Content Provider	Springer Nature Link
Author	Hsu, Jia Lien Lai, Ya Chao
Copyright Year	2013
Abstract	In this paper, we propose a solution to the problem of playlist generation. In order to capture user listening preference and recommend playlists, we maintain user profiles by keeping listening history. Then, we apply the sequential pattern mining algorithm with multiple minimum supports on user profiles to derive constraints. Given a set of derived constraints, we apply the tabu search to generate playlists which match constraints as much as possible. Finally, we implement our prototype and perform experiments to show the feasibility, efficiency, and effectiveness of our approach.
Starting Page	553
Ending Page	568
Page Count	16
File Format	PDF
ISSN	18688071
Journal	International Journal of Machine Learning and Cybernetics
Volume Number	5
Issue Number	4
e-ISSN	1868808X
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-02-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Constraint-based playlist generation Tabu search Sequential pattern mining with multiple minimum supports Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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Automatic playlist generation by applying tabu search