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Friend Recommendation in a Social Bookmarking System: Design and Architecture Guidelines

, , and . Intelligent Systems in Science and Information 2014, volume 591 of Studies in Computational Intelligence, Springer International Publishing, (2015)
DOI: 10.1007/978-3-319-14654-6_14

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Report on the Workshop on Social Media for Personalization And Search (SoMePeAS)., , and . SIGIR Forum, 51 (1): 42-44 (2017)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)Equality of Learning Opportunity in Personalized Recommendations., , , and . CoRR, (2020)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)Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering., , and . Future Gener. Comput. Syst., (2016)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)International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020)., , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 637-640. Springer, (2020)Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems., and . J. Intell. Inf. Syst., 54 (1): 1-4 (2020)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)ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization., , , , and . SIGWEB Newsl., 2022 (Autumn): 1:1-1:5 (Fall 2022)