Discount Sensitive Recommender System for Retail Business

User preferences for items are not the only determinant of purchase. Price promotion influences user's buying habits and changes items that are put in a basket. Such a reaction to discount depends on the user personality. In this paper, we propose a recommendation algorithm with personalized discount sensitivity. The effectiveness of the proposed model was verified using a public retail dataset. Correlation between personal persistence in repeat purchases and discount sensitivity of users was also investigated.