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Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System.

, , , and . UMAP, page 373-374. ACM, (2017)

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Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space., , and . UMAP (Adjunct Publication), page 35-40. ACM, (2017)Building Effective Recommender Systems for Tourists., and . AI Mag., 43 (2): 209-224 (2022)Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models., , , , , , , , and . IEEE Trans. Instrum. Meas., (2023)Challenges for Recommender Systems Evaluation., , and . CHItaly, page 25:1-25:5. ACM, (2021)Tangible Tourism with the Internet of Things., , , , , , and . ENTER, page 349-361. Springer, (2018)Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model., and . IIR, volume 2140 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Inverse Reinforcement Learning and Point of Interest Recommendations., and . IIR, volume 3177 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Behaviour-aware Tourist Profiles Data Generation., , and . IIR, volume 3448 of CEUR Workshop Proceedings, page 3-8. CEUR-WS.org, (2023)Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems., , and . UMAP (Adjunct Publication), page 50-55. ACM, (2023)User Behaviour Analysis in a Simulated IoT Augmented Space., , and . IUI Companion, page 8:1-8:2. ACM, (2018)