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Detection of Trending Topic Communities: Bridging Content Creators and Distributors.

, , , and . HT, page 205-213. ACM, (2017)

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Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality., , , and . CoRR, (2022)Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System., and . ICEIS (2), page 564-572. SciTePress, (2014)Guest editorial: social media for personalization and search., , and . Inf. Retr. J., 22 (1-2): 1-3 (2019)Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations., , , , , and . IEEE Trans. Emerg. Top. Comput., 7 (2): 206-217 (2019)Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems., and . J. Intell. Inf. Syst., 54 (1): 1-4 (2020)ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization., , , , and . SIGWEB Newsl., 2022 (Autumn): 1:1-1:5 (Fall 2022)Provider fairness across continents in collaborative recommender systems., , and . Inf. Process. Manag., 59 (1): 102719 (2022)Report on the Workshop on Social Media for Personalization And Search (SoMePeAS)., , and . SIGIR Forum, 51 (1): 42-44 (2017)A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects., , , and . WISE (2), volume 12343 of Lecture Notes in Computer Science, page 143-154. Springer, (2020)Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges.. ECIR, volume 9626 of Lecture Notes in Computer Science, page 889-892. Springer, (2016)