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Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback.

, , , , and . RecSys, page 119-122. ACM, (2016)

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A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel., , , and . EC-Web, volume 188 of Lecture Notes in Business Information Processing, page 89-100. Springer, (2014)Persistence on different databases via reflective IoT Middleware., , , and . SEBD, page 182-189. Matematicamente.it, (2016)Preface to the Special Issue on Recommender Systems., and . J. Data Semant., 6 (1): 1 (2017)Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting., , , , and . Semantic Web, 11 (3): 391-419 (2020)Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013., , , , , and . RecSys, page 483-484. ACM, (2013)Introduction to the Special Issue: Semantic Matchmaking and Resource Retrieval on the Web., , and . Int. J. Electron. Commer., 12 (2): 5-9 (2007)A System for Principled Matchmaking in an Electronic Marketplace., , , and . Int. J. Electron. Commer., 8 (4): 9-37 (2004)Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling., , , and . SAC, page 1323-1328. ACM, (2016)Rating Prediction with Contextual Conditional Preferences., , , and . KDIR, page 419-424. SciTePress, (2016)An analysis of users' propensity toward diversity in recommendations., , , , and . RecSys, page 285-288. ACM, (2014)