Using Rich Social Media Information for Music Recommendation via Hypergraph Model-Reference-Cited by-同舟云学术

Using Rich Social Media Information for Music Recommendation via Hypergraph Model

Published:2011 Issue: Volume: Page:213-237
ISSN:
Container-title:Social Media Modeling and Computing
language:
Short-container-title:

Author:

Tan Shulong,Bu Jiajun,Chen Chun,He Xiaofei

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-0-85729-436-4_10.pdf

Reference49 articles.

1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

2. Agarwal, S.: Ranking on graph data. In: Proc. the 23rd International Conference on Machine Learning, Pittsburgh, PA (2006)

3. Agarwal, S., Branson, K., Belongie, S.: Higher order learning with graphs. In: Proc. the 23rd International Conference on Machine Learning, Pittsburgh, PA (2006)

4. Aucouturier, J.-J., Pachet, F.: Scaling up music playlist generation. In: Proc. IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland (2002)

5. Berenzweig, A., Logan, B., Ellis, D.P.W., Whitman, B.: A large-scale evaluation of acoustic and subjective music-similarity measures. Comput. Music J. 28(2), 63–76 (2004)

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning;IEEE Access;2024

2. Hypergraphs: Concepts, Applications and Analysis;2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP);2022-11-25

3. A Crowdsourcing Truth Inference Algorithm Based on Hypergraph Neural Networks;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12

4. Equivariant Hypergraph Neural Networks;Lecture Notes in Computer Science;2022

5. Clustering Hypergraphs via the MapEquation;IEEE Access;2021