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A fast parallel SGD for matrix factorization in shared memory systems., , , and . RecSys, page 249-256. ACM, (2013)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)Effective string processing and matching for author disambiguation., , , , , , , , , and 14 other author(s). J. Mach. Learn. Res., 15 (1): 3037-3064 (2014)LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems., , , , , and . J. Mach. Learn. Res., (2016)Field-aware Factorization Machines for CTR Prediction., , , and . RecSys, page 43-50. ACM, (2016)A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization., , , and . PAKDD (1), volume 9077 of Lecture Notes in Computer Science, page 442-455. Springer, (2015)Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification., , , and . CIKM, page 1103-1112. ACM, (2018)A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems., , , and . ACM TIST, 6 (1): 2:1-2:24 (2015)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)