1. Large-scale parallel collaborative filtering for the Netflix prize, Berlin, Heidelberg, Springer-Verlag;Zhou;In AAIM’08, pages,2008
2. Sp Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. Franklin, S. Shenker, and I. Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing, Technical Report UCB/EECS-2011-82, EECS Department, University of California, Berkeley, 2011.
3. Spark SQL: Relational Data Processing in Spark”, in Proceedings of Association for Computing Machinery, Inc. ACM 978-1-4503-2758;Michael Armbrust;Pages 1383-1394, May,2015
4. M. Isard and Y. Yu. Distributed data-parallel computing using a high-level programming language. Pages 987-994 In SIGMOD, 2009.
5. User-based collaborative-filtering recommendation algorithms on hadoop;Zhao;” in Knowledge Discovery and Data Mining, 2010. WKDD’10. Third International Conference on. IEEE,2010