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Rank-sensitive proportional aggregations in dynamic recommendation scenarios.

, , and . User Model. User Adapt. Interact., 32 (4): 685-746 (2022)

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Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations., , and . ICCAI, page 280-285. ACM, (2022)Online Parallel Portfolio Selection with Heterogeneous Island Model., and . ICTAI, page 757-764. IEEE, (2018)The Effect of Feedback Granularity on Recommender Systems Performance., and . RecSys, page 586-591. ACM, (2022)Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation., and . ORSUM@RecSys, volume 109 of Proceedings of Machine Learning Research, page 2-11. PMLR, (2019)Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging., and . Int. J. Artif. Intell. Tools, 29 (03n04): 2060010:1-2060010:20 (2020)Rank-sensitive proportional aggregations in dynamic recommendation scenarios., , and . User Model. User Adapt. Interact., 32 (4): 685-746 (2022)Heterogeneous island model with re-planning of methods., and . GECCO (Companion), page 245-246. ACM, (2018)LODBookRec: Linked Open Data for Books Recommendation., , and . WIMS, page 12:1-12:6. ACM, (2019)Preference Learning by Matrix Factorization on Island Models.. ITAT, volume 2203 of CEUR Workshop Proceedings, page 146-151. CEUR-WS.org, (2018)Personalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations., and . iiWAS, page 210-215. ACM, (2020)