[1] |
ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J]. IEEE Transaction on Knowledge and Data Engineering, 2005, 17(6):734-749.
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刘青文. 基于协同过滤的推荐算法研究[D]. 中国科学技术大学, 2013.
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MENG X W, HU X, WANG L C, et al. Mobile recommender systems and their applications[J]. Journal of Software, 2013, 24(1):91-108.
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[4] |
CONSTANTINOPOULOS C, LIKAS A. Unsupervised learning of Gaussian mixtures based on variational component splitting[J]. IEEE Transactions on Neural Networks, 2007, 18(3): 745-755.
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CACHEDA F, CARNEIRO V, FERNNDEZ D, et al. Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems[J]. ACM Transactions on the Web, 2011, 5(1): 161-171.
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NEWTON J, GREINER R. Hierarchical probabilistic relational models for collaborative filtering[C]// Proceedings of the 21st International Conference on Machine Learning—Workshop on Statistical Relational Learning. New York: ACM Press, 2004: 249-163.
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[7] |
BELL R, KOREN Y, VOLINSKY C. Modeling relationships at multiple scales to improve accuracy of large recommender systems[C]// Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose: ACM Press, 2007: 95-104.
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[8] |
DAKHEL G M, MAHDAVI M. A new collaborative filtering algorithm using K-means clustering and neighbors’ voting[C]// Proceedings of the 11th International Conference on Hybrid Intelligent Systems. Melacca, Malaysia: IEEE Press, 2011,: 179-184.
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[9] |
FU H G, PENG J. Improved collaborative filtering algorithm based on model users [J]. Computer Engineering, 2011, 37(3):70-71,74.
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[10] |
WEI S Y, YE N, ZHANG S, et al. Collaborative filtering recommendation algorithm based on item clustering and global similarity[C]// Proceedings of the 5th International Conference on Business Intelligence and Financial Engineering. Lanzhou, China: ACM Press, 2012: 69-72.
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[11] |
SALAKHUTDINOV R, MNIH A, HINTON G. Restricted Boltzmann machines for collaborative filtering[C]// Proceedings of the 24th International Conference on Machine Learning. Corvallis, USA: ACM Press, 2007: 791-798.
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[12] |
STRUNJAS S. Algorithms and models for collaborative filtering from large information corpora[D]. University of Cincinnati, USA, 2008.
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[13] |
SHINDE S K, KULKARNI U V. Hybrid personalized recommender system using fast K-medoids clustering algorithm [J]. Journal of Advances in Information Technology, 2011, 2(3): 152-158.
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[14] |
JIANG J, LU J, ZHANG G Q, et al. Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop[J]. Computer Science Technology, 2011, 7(4): 123-126.)
|
[1] |
ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J]. IEEE Transaction on Knowledge and Data Engineering, 2005, 17(6):734-749.
|
[2] |
刘青文. 基于协同过滤的推荐算法研究[D]. 中国科学技术大学, 2013.
|
[3] |
MENG X W, HU X, WANG L C, et al. Mobile recommender systems and their applications[J]. Journal of Software, 2013, 24(1):91-108.
|
[4] |
CONSTANTINOPOULOS C, LIKAS A. Unsupervised learning of Gaussian mixtures based on variational component splitting[J]. IEEE Transactions on Neural Networks, 2007, 18(3): 745-755.
|
[5] |
CACHEDA F, CARNEIRO V, FERNNDEZ D, et al. Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems[J]. ACM Transactions on the Web, 2011, 5(1): 161-171.
|
[6] |
NEWTON J, GREINER R. Hierarchical probabilistic relational models for collaborative filtering[C]// Proceedings of the 21st International Conference on Machine Learning—Workshop on Statistical Relational Learning. New York: ACM Press, 2004: 249-163.
|
[7] |
BELL R, KOREN Y, VOLINSKY C. Modeling relationships at multiple scales to improve accuracy of large recommender systems[C]// Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose: ACM Press, 2007: 95-104.
|
[8] |
DAKHEL G M, MAHDAVI M. A new collaborative filtering algorithm using K-means clustering and neighbors’ voting[C]// Proceedings of the 11th International Conference on Hybrid Intelligent Systems. Melacca, Malaysia: IEEE Press, 2011,: 179-184.
|
[9] |
FU H G, PENG J. Improved collaborative filtering algorithm based on model users [J]. Computer Engineering, 2011, 37(3):70-71,74.
|
[10] |
WEI S Y, YE N, ZHANG S, et al. Collaborative filtering recommendation algorithm based on item clustering and global similarity[C]// Proceedings of the 5th International Conference on Business Intelligence and Financial Engineering. Lanzhou, China: ACM Press, 2012: 69-72.
|
[11] |
SALAKHUTDINOV R, MNIH A, HINTON G. Restricted Boltzmann machines for collaborative filtering[C]// Proceedings of the 24th International Conference on Machine Learning. Corvallis, USA: ACM Press, 2007: 791-798.
|
[12] |
STRUNJAS S. Algorithms and models for collaborative filtering from large information corpora[D]. University of Cincinnati, USA, 2008.
|
[13] |
SHINDE S K, KULKARNI U V. Hybrid personalized recommender system using fast K-medoids clustering algorithm [J]. Journal of Advances in Information Technology, 2011, 2(3): 152-158.
|
[14] |
JIANG J, LU J, ZHANG G Q, et al. Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop[J]. Computer Science Technology, 2011, 7(4): 123-126.)
|