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An Efficient Alternating Newton Method for Learning Factorization Machines., , , и . ACM Trans. Intell. Syst. Technol., 9 (6): 72:1-72:31 (2018)Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme., , , , и . Eng. Appl. Artif. Intell., (2018)AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction., , , , , , , и . MDM, стр. 202-209. IEEE, (2020)Practical Counterfactual Policy Learning for Top-K Recommendations., , , , , и . KDD, стр. 1141-1151. ACM, (2022)OIS-RF: A novel overlap and imbalance sensitive random forest., , , , , и . Eng. Appl. Artif. Intell., (2021)Influence Function for Unbiased Recommendation., , , , , , и . SIGIR, стр. 1929-1932. ACM, (2020)Improving Ad Click Prediction by Considering Non-displayed Events., , , , , , и . CIKM, стр. 329-338. ACM, (2019)A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets., , , , , , и . Neural Comput. Appl., 33 (9): 4457-4481 (2021)LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems., , , , , и . J. Mach. Learn. Res., (2016)An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings., , , и . CoRR, (2020)