Most of shopping web sites support a function of user-provided item reviews. It has been shown that reviews have a profound effect on item conversion rates. Cosmetic item reviews carry particular importance in purchasing decisions because of their personal nature, and particularly because of the potential for irritation with unsuitable items. In this paper, we try to develop a user similarity calculating method for a cosmetic review recommender system. To realize such a recommender system, we

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... opose a method for automatic scoring of various aspects of cosmetic item review texts based on an evaluation expression dictionary curated from a corpus of real world online reviews. Furthermore, we consider how to calculate user similarity of cosmetic review sites.