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Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations., , , , , и . IEEE Trans. Emerg. Top. Comput., 7 (2): 206-217 (2019)Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems., и . J. Intell. Inf. Syst., 54 (1): 1-4 (2020)Provider fairness across continents in collaborative recommender systems., , и . Inf. Process. Manag., 59 (1): 102719 (2022)ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization., , , , и . SIGWEB Newsl., 2022 (Autumn): 1:1-1:5 (Fall 2022)Guest editorial: social media for personalization and search., , и . Inf. Retr. J., 22 (1-2): 1-3 (2019)Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality., , , и . CoRR, (2022)Equality of Learning Opportunity in Personalized Recommendations., , , и . CoRR, (2020)A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects., , , и . WISE (2), том 12343 из Lecture Notes in Computer Science, стр. 143-154. Springer, (2020)Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering., , и . Future Gener. Comput. Syst., (2016)International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020)., , , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 637-640. Springer, (2020)