Construction of Network Using Heterogeneous Social Metadata for Music Video Recommendation

被引：0
|
作者：
Matsumoto, Yui [1 ]
Harakawa, Ryosuke [2 ]
Ogawa, Takahiro [2 ]
Haseyama, Miki [2 ]
机构：
[1] Hokkaido Univ, Sch Engn, Kita Ku, N-13,W-8, Sapporo, Hokkaido 0608628, Japan
[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Kita Ku, N-14,W-9, Sapporo, Hokkaido 0600814, Japan
来源：
2017 IEEE 6TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | 2017年
关键词：
RETRIEVAL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel method to construct a network based on heterogeneous features obtained from music videos and social metadata for music video recommendation is presented in this paper. The proposed method enables construction of the network that can accurately associate users with music videos corresponding to their preference by the collaborative use of audio and textual features obtained from music videos and social metadata "related videos", "tags", and "keywords" through sub-sampled canonical correlation analysis. By performing link prediction on the obtained network, our method enables users to obtain desired music videos that are not linked to each other in the network but corresponding to users' preference, that is, music video recommendation becomes feasible. Experimental results for real-world datasets show the effectiveness of our method.
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Enhancing music recommendation algorithms using cultural metadata
    Baumann, S
    Hummel, O
    [J]. JOURNAL OF NEW MUSIC RESEARCH, 2005, 34 (02) : 161 - 172
  • [2] On Video Recommendation over Social Network
    Zhao, Xiaojian
    Yuan, Jin
    Hong, Richang
    Wang, Meng
    Li, Zhoujun
    Chua, Tat-Seng
    [J]. ADVANCES IN MULTIMEDIA MODELING, 2012, 7131 : 149 - +
  • [3] A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata
    Shi Hui
    Ma Wei
    Zhang XiaoLiang
    Jiang JunYan
    Liu YanBing
    Chen ShuJuan
    [J]. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [4] Heterogeneous Social Recommendation Model With Network Embedding
    Su, Chang
    Hu, Zongchao
    Xie, Xianzhong
    [J]. IEEE ACCESS, 2020, 8 : 209483 - 209494
  • [5] Social Recommendation in Heterogeneous Evolving Relation Network
    Jiang, Bo
    Lu, Zhigang
    Liu, Yuling
    Li, Ning
    Cui, Zelin
    [J]. COMPUTATIONAL SCIENCE - ICCS 2020, PT I, 2020, 12137 : 554 - 567
  • [6] A video recommendation algorithm based on the combination of video content and social network
    Cui, Laizhong
    Dong, Linyong
    Fu, Xianghua
    Wen, Zhenkun
    Lu, Nan
    Zhang, Guanjing
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29 (14):
  • [7] Music recommendation system using lyric network
    Nakamura, Keita
    Fujisawa, Takako
    [J]. 2017 IEEE 6TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2017,
  • [8] Learning to embed music and metadata for context-aware music recommendation
    Wang, Dongjing
    Deng, Shuiguang
    Zhang, Xin
    Xu, Guandong
    [J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2018, 21 (05): : 1399 - 1423
  • [9] Learning to embed music and metadata for context-aware music recommendation
    Dongjing Wang
    Shuiguang Deng
    Xin Zhang
    Guandong Xu
    [J]. World Wide Web, 2018, 21 : 1399 - 1423
  • [10] Learning Music Embedding with Metadata for Context Aware Recommendation
    Wang, Dongjing
    Deng, Shuiguang
    Zhang, Xin
    Xu, Guandong
    [J]. ICMR'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 2016, : 249 - 253
12345