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An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , and . RecSys, page 1-11. ACM, (2021)Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)., , , , , , , , , and . IJCAI, page 5349-5353. ijcai.org, (2022)Personalized hybrid recommendation for group of users: Top-N multimedia recommender., , and . Inf. Process. Manag., 52 (3): 459-477 (2016)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)Social Structure and Personality Enhanced Group Recommendation., and . UMAP Workshops, volume 1181 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Improving the Personalized Recommendation in the Cold-start Scenarios., , , and . DSAA, page 606-607. IEEE, (2019)Short-term User Behaviour Changes Modelling., , and . ADBIS (Short Papers and Workshops), volume 637 of Communications in Computer and Information Science, page 223-228. Springer, (2016)Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading., , , , , , , , , and . UMAP (Adjunct Publication), page 411-414. ACM, (2021)Context-aware adaptive personalised recommendation: a meta-hybrid., and . Int. J. Web Eng. Technol., 16 (3): 235-254 (2021)