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In this paper, we shed light on explaining user models for transparent recommendation while considering user personal characteristics. To this end, we developed a transparent Recommendation and Interest Modeling Application (RIMA) that provides interactive, layered explanations of the user model with three levels of detail (basic, intermediate, advanced) to meet the demands of different types of end-users. We conducted a within-subject study (N=31) to investigate the relationship betweendoi:10.1145/3511047.3537685 dblp:conf/um/GuesmiCVNJAM22 fatcat:rlytcck3rzhyrb7yygp3jmui2i