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An Efficient Alternating Newton Method for Learning Factorization Machines., , , and . ACM Trans. Intell. Syst. Technol., 9 (6): 72:1-72:31 (2018)Machine Learning at Microsoft with ML.NET., , , , , , , , , and 20 other author(s). KDD, page 2448-2458. ACM, (2019)LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems., , , , , and . J. Mach. Learn. Res., (2016)Effective string processing and matching for author disambiguation., , , , , , , , , and 14 other author(s). J. Mach. Learn. Res., 15 (1): 3037-3064 (2014)Machine Learning at Microsoft with ML .NET., , , , , , , , , and 24 other author(s). CoRR, (2019)Effective string processing and matching for author disambiguation., , , , , , , , , and 14 other author(s). KDD Cup, page 7:1-7:9. ACM, (2013)Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013., , , , , , , , , and 14 other author(s). KDD Cup, page 2:1-2:7. ACM, (2013)A fast parallel SGD for matrix factorization in shared memory systems., , , and . RecSys, page 249-256. ACM, (2013)Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013., , , , , , , , , and 14 other author(s). J. Mach. Learn. Res., (2015)Distributed Newton Methods for Regularized Logistic Regression., , , and . PAKDD (2), volume 9078 of Lecture Notes in Computer Science, page 690-703. Springer, (2015)