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Improving memory-based collaborative filtering by neighbour selection based on user preference overlap.

, , and . OAIR, page 145-148. ACM, (2013)

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Building recommenders for modelling languages with Droid., , , and . ASE, page 155:1-155:4. ACM, (2022)A Conversational Agent for Argument-driven E-participation., , , , and . DG.O, page 191-205. ACM, (2022)Towards increasing citizen engagement in participatory budgeting digital tools., and . DG.O, page 91:1-91:2. ACM, (2018)On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering., and . UMAP, volume 9146 of Lecture Notes in Computer Science, page 343-349. Springer, (2015)Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach., , and . Int. J. Semantic Web Inf. Syst., 8 (3): 24-41 (2012)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)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)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)XBRL Taxonomies and OWL Ontologies for Investment Funds., , and . ER (Workshops), volume 4231 of Lecture Notes in Computer Science, page 271-280. Springer, (2006)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)