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Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation.

, , and . DC@PKDD/ECML, volume 497 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)

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Discerning Relevant Model Features in a Content-based Collaborative Recommender System., , , and . Preference Learning, Springer, (2010)A Simple E-learning System Based on Classroom Competition., and . EC-TEL, volume 6383 of Lecture Notes in Computer Science, page 488-493. Springer, (2010)Modeling Emotions with Social Tags., , and . UMAP, volume 7899 of Lecture Notes in Computer Science, page 331-334. Springer, (2013)A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews., , and . User Model. User-Adapt. Interact., 29 (2): 381-441 (2019)Report on RecSys 2014: Workshop on New Trends in Content-Based Recommender Systems., , and . SIGIR Forum, 49 (1): 20-26 (2015)Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning., and . IbPRIA (2), volume 3523 of Lecture Notes in Computer Science, page 43-50. Springer, (2005)Validating Gamification Mechanics and Player Types in an E-learning Environment., , and . EC-TEL, volume 9307 of Lecture Notes in Computer Science, page 568-572. Springer, (2015)A Multi-Purpose Ontology-Based Approach for Personalized Content Filtering and Retrieval., , , and . SMAP, page 19-24. IEEE Computer Society, (2006)Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach., , and . Int. J. Semantic Web Inf. Syst., 8 (3): 24-41 (2012)Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach., , and . TWEB, 8 (2): 12:1-12:30 (2014)