Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network

Matsumoto, Yui; Harakawa, Ryosuke; Ogawa, Takahiro; Haseyama, Miki

Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network

Matsumoto, Yui; Harakawa, Ryosuke; Ogawa, Takahiro et al.

IEEE Access, 2019, 7, 104155-104167

Permalink : https://hdl.handle.net/2115/75614

このアイテムのアクセス数:575件（2026-08-14 19:18 集計）

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ファイル	フォーマット	サイズ	閲覧回数	説明
https://doi.org/10.1109/ACCESS.2019.2930713			11

論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/75614
タイトル	Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network
著者	Matsumoto, Yui ; Harakawa, Ryosuke ; Ogawa, Takahiro ; Haseyama, Miki
著者名 Matsumoto, Yui
著者名 Harakawa, Ryosuke
e-Rad_Researcher 20524028 著者名 Ogawa, Takahiro
e-Rad_Researcher 00218463 著者名 Haseyama, Miki
言語	英語
キーワード	Music video
	recommendation
	link prediction
	network analysis
	social metadata
発行日	2019-07-24
出版者	IEEE (Institute of Electrical and Electronics Engineers)
収録物名	IEEE Access
巻(号)	7
ページ	104155-104167
抄録	A novel method for music video recommendation is presented in this paper. The contributions of this paper are two-fold. (i) The proposed method constructs a network, which not only represents relationships between music videos and users but also captures multi-modal features of music videos. This enables collaborative use of multi-modal features such as audio, visual, and textual features, and multiple social metadata that can represent relationships between music videos and users on video hosting services. (ii) A novel scheme for link prediction considering local and global structures of the network (LP-LGSN) is newly derived by fusing multiple link prediction scores based on both local and global structures. By using the LP-LGSN to predict the degrees to which users desire music videos, the proposed method can recommend users' desired music videos. The experimental results for a real-world dataset constructed from YouTube-8M show the effectiveness of the proposed method.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Creative Commons Attribution 4.0 International
権利情報	© 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
PISSN	2169-3536
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1109/ACCESS.2019.2930713