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Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)., , , , , , , , , and . IJCAI, page 5349-5353. ijcai.org, (2022)The Short-term User Modeling for Predictive Applications., , and . J. Data Semant., 8 (1): 21-37 (2019)Towards understandable personalized recommendations: Hybrid explanations., , and . Comput. Sci. Inf. Syst., 16 (1): 179-203 (2019)Fast Streaming Behavioural Pattern Mining., , , and . New Generation Comput., 36 (4): 365-391 (2018)An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , and . RecSys, page 1-11. ACM, (2021)Personalized hybrid recommendation for group of users: Top-N multimedia recommender., , and . Inf. Process. Manag., 52 (3): 459-477 (2016)Effective hierarchical vector-based news representation for personalized recommendation., , and . Comput. Sci. Inf. Syst., 9 (1): 303-322 (2012)Session-based k-NNs with Semantic Suggestions for Next-item Prediction., , and . CoRR, (2020)The Cold-start Problem: Minimal Users' Activity Estimation., , , and . CoRR, (2021)Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-33 (March 2023)