Abstract

In Japan, the popularity of DIY stores has been growing rapidly. In comparison with typical large retail chain stores, DIY stores have a wider variety of products mostly with lower prices and broader store spaces. In many cases, they are located in suburban areas with huge parking lots. Because of these unique features, customer behaviors for DIY stores could be quite different from those for ordinary large retail chain stores, and some special attentions may be needed for sales promotion. The purpose of this paper is to establish a framework for developing recommendation engines for DIY stores so as to enhance their sales.

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