Collaborative restricted Boltzmann machine for social event recommendation

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

Volumn , Issue , 2016, Pages 402-405

  Jia, Xiaowei ^a   Li, Xiaoyi ^b   Li, Kang ^b   Gopalakrishnan, Vishrawas ^b   Xun, Guangxu ^b   Zhang, Aidong ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; INFORMATION SYSTEMS;

KNOWLEDGE MINING; MULTIPLE SOURCE; NOCV1; OFFLINE; RESTRICTED BOLTZMANN MACHINE; SOCIAL EVENTS;

SOCIAL NETWORKING (ONLINE);

EID: 85006733680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2016.7752265     Document Type: Conference Paper

References (14)

1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. The Journal of machine Learning research, 2003.
2. Y. Fang and L. Si. Matrix co-factorization for recommendation with rich side information and implicit feedback. In HetRec. ACM, 2011.
3. G. E. Hinton. Training products of experts by minimizing contrastive divergence. Neural computation, 2002.
4. L. Hong, A. S. Doumith, and B. D. Davison. Co-factorization machines: modeling user interests and predicting individual decisions in twitter. In Proceedings of ACM WSDM. ACM, 2013.
5. K. Hornik, I. Feinerer, M. Kober, and C. Buchta. Spherical k-means clustering. Journal of Statistical Software, 2012.
6. X. Jia, K. Li, X. Li, and A. Zhang. A novel semi-supervised deep learning framework for affective state recognition on eeg signals. In Bioinformatics and Bioengineering (BIBE). IEEE, 2014.
7. X. Jia, A. Wang, X. Li, G. Xun, W. Xu, and A. Zhang. Multi-modal learning for video recommendation based on mobile application usage. In Big Data (Big Data). IEEE, 2015.
8. T. G. Kolda and B. W. Bader. Tensor decompositions and applications. SIAM review, 2009.
9. Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 2009.
10. N. Le Roux and Y. Bengio. Representational power of restricted boltzmann machines and deep belief networks. Neural Computation, 2008.
11. X. Liu, Q. He, Y. Tian, W.-C. Lee, J. McPherson, and J. Han. Eventbased social networks: linking the online and offline social worlds. In Proceedings of the 18th ACM SIGKDD. ACM, 2012.
12. R. Memisevic and G. Hinton. Unsupervised learning of image transformations. In CVPR. IEEE, 2007.
13. R. Salakhutdinov, A. Mnih, and G. Hinton. Restricted boltzmann machines for collaborative filtering. In ICML. ACM, 2007.
14. Y. Zhang, H. Wu, V. Sorathia, and V. K. Prasanna. Event recommendation in social networks with linked data enablement. In ICEIS (2), 2013.