Cosmetic products are inherently personal. Many people rely on product reviews when choosing to purchase cosmetics. However, reviewers can have tastes that vary based on personal, demographic or cultural background. Prior work has discussed methods for generating attribute-based explanations for item ratings on cosmetic products, based on associated text-based reviews. This paper focuses on evaluating explanation interfaces for product reviews and related attributes. We present the results of a cross-cultural user study that evaluates five associated explanation interfaces for cosmetic product reviews across groups of participants from three different cultural backgrounds.