D. Lemire and A. Maclachlan, Slope One Predictors for Online Rating-Based Collaborative Filtering, SIAM Data Mining (SDM '05), pp.471-476, 2005.
DOI : 10.1137/1.9781611972757.43
URL : http://arxiv.org/abs/cs/0702144

D. Zhang, An Item-based Collaborative Filtering Recommendation Algorithm Using Slope One Scheme Smoothing, 2009 Second International Symposium on Electronic Commerce and Security, 2009.
DOI : 10.1109/ISECS.2009.173

N. Mittal, M. Govil, R. Nayak, and K. Jain, Recommender System Framework Using Clustering and Collaborative Filtering, 2010 3rd International Conference on Emerging Trends in Engineering and Technology, pp.555-558, 2010.
DOI : 10.1109/ICETET.2010.121

M. Gao, Z. Wu, and F. Jiang, Userrank for item-based collaborative filtering recommendation, Information Processing Letters, vol.111, issue.9, pp.440-446, 2011.
DOI : 10.1016/j.ipl.2011.02.003

P. Wang and H. Wu-ye, A Personalized Recommendation Algorithm Combining Slope One Scheme and User Based Collaborative Filtering, 2009 International Conference on Industrial and Information Systems, pp.152-154, 2009.
DOI : 10.1109/IIS.2009.71

Z. Sun, N. Luo, and W. Kuang, One real-time personalized recommendation systems based on Slope One algorithm, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp.1826-1830, 2011.
DOI : 10.1109/FSKD.2011.6019830

. Graphlab, A New Parallel Framework for Machine Learning

Y. Zhou, D. Wilkinson, R. Schreiber, and R. Pan, Large-Scale Parallel Collaborative Filtering for the Netflix Prize, Algorithmic Aspects in Information and Management, vol.5034, pp.337-348, 2008.
DOI : 10.1007/978-3-540-68880-8_32

A. Narang, A. Srivastava, and N. Katta, Distributed Scalable Collaborative Filtering Algorithm, Euro-Par'11 Proceedings of the 17th international conference on Parallel processing, 2011.
DOI : 10.1145/245108.245121
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.402.9804

T. George and S. Merugu, A Scalable Collaborative Filtering Framework Based on Co-Clustering, Fifth IEEE International Conference on Data Mining (ICDM'05), pp.625-628, 2005.
DOI : 10.1109/ICDM.2005.14
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.6458

S. Daruru, N. Marn, M. Walker, and J. Ghosh, Pervasive parallelism in data mining, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.1115-1123, 2009.
DOI : 10.1145/1557019.1557140

Z. Zhao and M. Shang, User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop, Third International Conference on Knowledge Discovery and Data Mining, pp.478-481, 2010.

J. Jiang, J. Lu, G. Zhang, and G. Long, Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop, 2011 IEEE World Congress on Services, pp.2011-490, 2011.
DOI : 10.1109/SERVICES.2011.66

R. Gemulla, E. Nijkamp, P. Haas, and Y. Sismanis, Large-scale matrix factorization with distributed stochastic gradient descent, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.69-77, 2011.
DOI : 10.1145/2020408.2020426
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.7682

M. Ali, C. Johnson, and A. Tang, Parallel Collaborative Filtering for Streaming Data, 2011.

X. Chen and W. Hongfa, Clustering Weighted Slope One for distributed parallel computing, Computer Science and Network Technology (ICCSNT), vol.3, pp.1595-1598, 2011.

Z. Mi, C. Xu, and D. Huang, A Recommendation Algorithm Combining Clustering Method and Slope One Scheme, Bio-Inspired Computing and Applications, vol.6, issue.2, pp.160-167, 2012.
DOI : 10.1109/ISECS.2009.173

J. Li, L. Sun, and J. Wang, A Slope One Collaborative Filtering Recommendation Algorithm Using Uncertain Neighbors Optimizing, WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management, pp.160-166, 2011.
DOI : 10.1007/978-3-642-28635-3_15

M. Gao, Z. Wu, and Y. Luo, Personalized Context-Aware Collaborative Filtering Based on Neural Network and Slope One, Cooperative Design, Visualization, and Engineering, pp.109-116, 2009.
DOI : 10.4314/wsa.v31i2.5199