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Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation.

, , , and . RecSys, page 598-603. ACM, (2022)

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A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems., , and . CoRR, (2024)CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems., , and . SIGIR, page 770-779. ACM, (2022)Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness., , , , and . EACL (Findings), page 1266-1277. Association for Computational Linguistics, (2024)Towards Confidence-aware Calibrated Recommendation., , , and . CIKM, page 4344-4348. ACM, (2022)Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation., , , and . RecSys, page 598-603. ACM, (2022)Experiments on Generalizability of User-Oriented Fairness in Recommender Systems., , , and . SIGIR, page 2755-2764. ACM, (2022)CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework., , , and . CoRR, (2023)Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems., , , and . CoRR, (2023)PyCPFair: A framework for consumer and producer fairness in recommender systems., , and . Softw. Impacts, (2022)The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation., , , and . BIAS, volume 1610 of Communications in Computer and Information Science, page 56-68. Springer, (2022)