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Replicating and Improving Top-N Recommendations in Open Source Packages., , and . WIMS, page 40:1-40:7. ACM, (2018)Choosing between hotels: impact of bimodal rating summary statistics and maximizing behavioral tendency., , and . J. Inf. Technol. Tour., 22 (1): 167-186 (2020)Improving Time-Aware Recommendations in Open Source Packages., , and . Int. J. Artif. Intell. Tools, 28 (6): 1960007:1-1960007:21 (2019)Personalised novel and explainable matrix factorisation., , and . Data Knowl. Eng., (2019)Visual Analysis of Recommendation Performance., , and . RecSys, page 362-363. ACM, (2017)Novelty-Aware Matrix Factorization Based on Items' Popularity., , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 516-527. Springer, (2018)rrecsys: An R-package for Prototyping Recommendation Algorithms., and . RecSys Posters, volume 1688 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Decision Making Based on Bimodal Rating Summary Statistics - An Eye-Tracking Study of Hotels., , and . ENTER, page 40-51. Springer, (2019)Decision making strategies differ in the presence of collaborative explanations: two conjoint studies., , , and . IUI, page 291-302. ACM, (2019)Exploring Users' Perception of Rating Summary Statistics., , , and . UMAP, page 353-354. ACM, (2018)