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IRF: A Framework for Enabling Users to Interact with Recommenders through Dialogue., , , , , и . Proc. ACM Hum. Comput. Interact., 5 (CSCW1): 163:1-163:25 (2021)Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations., , , , , , и . ACM Trans. Inf. Syst., 39 (4): 42:1-42:21 (2021)Client Network: An Interactive Model for Predicting New Clients., , , , , , и . CoRR, (2020)User Driven Model Adjustment via Boolean Rule Explanations., , , и . AAAI, стр. 5896-5904. AAAI Press, (2021)Utility based and user defined scoring based mining of sequential patterns ; Faydaya bağlı ve kullanıcı tanımlı skorlamaya bağlı sıralı desen madenciliği.. Middle East Technical University, Çankaya, Ankara, Turkey, (2015)base-search.net (ftmetuankair:oai:https://open.metu.edu.tr:11511/24648).Leveraging explanations in interactive machine learning: An overview., , , и . Frontiers Artif. Intell., (февраля 2023)Leveraging Explanations in Interactive Machine Learning: An Overview., , , и . CoRR, (2022)User Driven Model Adjustment via Boolean Rule Explanations., , , и . CoRR, (2022)FROTE: Feedback Rule-Driven Oversampling for Editing Models., , , , , и . CoRR, (2022)AIMEE: An Exploratory Study of How Rules Support AI Developers to Explain and Edit Models., , , , и . Proc. ACM Hum. Comput. Interact., 7 (CSCW2): 1-25 (2023)