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Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons, and . Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, page 289--293. New York, NY, USA, ACM, (2017)Personalized Information Retrieval for Touristic Attractions in Augmented Reality., , , and . WSDM, page 1613-1616. ACM, (2022)Pairwise Preferences and Recommender Systems.. IUI Companion, page 169-172. ACM, (2017)Cross-silo federated learning based decision trees., and . SAC, page 1117-1124. ACM, (2022)Fast Content Placement and Alignment in 3D Scenes., , and . FLAIRS, (2022)Item Recommendation by Combining Relative and Absolute Feedback Data., , and . SIGIR, page 933-936. ACM, (2019)A Practical Federated Learning Framework for Small Number of Stakeholders., , and . WSDM, page 910-913. ACM, (2021)The 2021 RecSys Challenge Dataset: Fairness is not optional., , , , , , , , , and 3 other author(s). RecSys Challenge, page 1-6. ACM, (2021)Integrating Ratings and Pairwise Preferences in Recommender Systems., and . IIR, volume 2140 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline., , , , , , , , , and 2 other author(s). RecSys, page 819-824. ACM, (2021)