Reid Andersen, Christian Borgs, Jennifer Chayes, Uriel Feige, Abraham Flaxman, Adam Kalai, Vahab Mirrokni, and Moshe Tennenholtz. Trust-based recommendation systems: an axiomatic approach. In Proceedings of the 17th international conference on World Wide Web, pages 199–208. ACM, 2008.
[2]
John Canny. Collaborative filtering with privacy via factor analysis. In SIGIR ’02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 238–245, New York, NY, USA, 2002. ACM.
[3]
Jennifer Golbeck. Computing and Applying Trust in Web-based Social Networks. PhD thesis, 2005.
[4]
Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Manifold-ranking based image retrieval. In Proceedings of the 12th annual ACM international conference on Multimedia, pages 9–16. ACM, 2004.
[5]
Thomas Hofmann. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems (TOIS), 22(1):89–115, 2004.
[6]
Mohsen Jamali and Martin Ester. Trustwalker: a random walk model for combining trust-based and item-based recommendation. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 397–406. ACM, 2009.
[7]
Mohsen Jamali and Martin Ester. A matrix factorization technique with trust propagation for recommendation in social networks. In Proceedings of the fourth ACM conference on Recommender systems, pages 135–142. ACM, 2010.
[8]
Leo Katz. A new status index derived from sociometric analysis. Psychometrika, 18(1):39–43, March 1953.
[9]
Arnd Kohrs and Bernard Merialdo. Clustering for collaborative filtering applications. In In Computational Intelligence for Modelling, Control & Automation. IOS. Citeseer, 1999.
[10]
David Liben-Nowell and Jon Kleinberg. The link-prediction problem for social networks. J. Am. Soc. Inf. Sci. Technol., 58(7):1019–1031, May 2007.
[11]
Hao Ma, Irwin King, and Michael R Lyu. Learning to recommend with social trust ensemble. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 203–210. ACM, 2009.
[12]
Hao Ma, Haixuan Yang, Michael R Lyu, and Irwin King. Sorec: social recommendation using probabilistic matrix factorization. In Proceedings of the 17th ACM conference on Information and knowledge management, pages 931–940. ACM, 2008.
[13]
Hao Ma, Dengyong Zhou, Chao Liu, Michael R Lyu, and Irwin King. Recommender systems with social regularization. In Proceedings of the fourth ACM international conference on Web search and data mining, pages 287–296. ACM, 2011.
[14]
Sam T. Roweis and Lawrence K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
[15]
Ruslan Salakhutdinov and Andriy Mnih. Bayesian probabilistic matrix factorization using markov chain monte carlo. In Proceedings of the 25th international conference on Machine learning, pages 880–887. ACM, 2008.
[16]
Ruslan Salakhutdinov and Andriy Mnih. Probabilistic matrix factorization. Advances in neural information processing systems, 20:1257–1264, 2008.
[17]
Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th international conference on World Wide Web, pages 285–295, New York, NY, USA, 2001. ACM.
[18]
J. B. Tenenbaum. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, December 2000.
[19]
Xiaojun Wan, Jianwu Yang, and Jianguo Xiao. Manifold-ranking based topic-focused multi-document summarization. In Proceedings of IJCAI, volume 7, pages 2903–2908, 2007.
[20]
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, and Bernhard Sch?lkopf. Ranking on data manifolds. Advances in neural information processing systems, 16:169–176, 2003.
[21]
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, and Bernhard Sch?lkopf. Ranking on data manifolds. Advances in neural information processing systems, 16:169–176, 2003.