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Multi-Task Deep Recommender Systems: A Survey., , , , , , , , и . CoRR, (2023)PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features., , , , , и . CoRR, (2019)Learning Empirical Bregman Divergence for Uncertain Distance Representation., , , и . FUSION, стр. 1-8. IEEE, (2023)ItLnc-BXE: A Bagging-XGBoost-Ensemble Method With Comprehensive Sequence Features for Identification of Plant lncRNAs., , , , , и . IEEE Access, (2020)Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention., , , , , , , , и . SIGIR, стр. 1872-1882. ACM, (2024)Multi-Task Recommendations with Reinforcement Learning., , , , , , , , , и 1 other автор(ы). WWW, стр. 1273-1282. ACM, (2023)Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation., , , , , , и . WSDM, стр. 779-787. ACM, (2024)Modeling User Retention through Generative Flow Networks., , , , , , , , , и . CoRR, (2024)KuaiSim: A Comprehensive Simulator for Recommender Systems., , , , , , , и . NeurIPS, (2023)M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework., , , , , , , , , и 2 other автор(ы). SIGIR, стр. 893-902. ACM, (2024)