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Top-N Recommendation Algorithms: A Quest for the State-of-the-Art

, , , , and . Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 121-131. ACM, (July 2022)
DOI: 10.1145/3503252.3531292

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Design of a low cost multipurpose wireless sensor network., , , and . M&N, page 1-6. IEEE, (2015)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)Preface to the Special Issue on Recommender Systems., and . J. Data Semant., 6 (1): 1 (2017)Persistence on different databases via reflective IoT Middleware., , , and . SEBD, page 182-189. Matematicamente.it, (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)Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling., , , and . SAC, page 1323-1328. ACM, (2016)Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013., , , , , and . RecSys, page 483-484. ACM, (2013)Explaining recommender systems fairness and accuracy through the lens of data characteristics., , and . Inf. Process. Manag., 58 (5): 102662 (2021)