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Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study.

, , , and . IntRS@RecSys, volume 2225 of CEUR Workshop Proceedings, page 32-36. CEUR-WS.org, (2018)

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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)Fast Streaming Behavioural Pattern Mining., , , and . New Generation Comput., 36 (4): 365-391 (2018)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)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)Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-33 (March 2023)Considering temporal aspects in recommender systems: a survey., , , , , and . User Model. User Adapt. Interact., 33 (1): 81-119 (March 2023)Social Structure and Personality Enhanced Group Recommendation., and . UMAP Workshops, volume 1181 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)