글로벌 판매 및 물류 협업 전자상거래를 위한유사상품 추천 알고리즘 및 활용

In this paper, we present a similar product finding algorithm for the cooperative business companies that share the product taxonomy table and have exchangeable products information. The main idea of the proposed algorithm is to compute the aggregated utility ranges over specification values of products in the same product class of the companies and find similar ones between the products. Experimental results from a laboratory application are provided in terms of user satisfaction rates. Their comparative implications with a distance measure-based recommendation algorithm are suggested. The experiment confirmed that our algorithm could be used as a solution for similar product recommendation when a buyer’s residence site was different from a receiver’s one and the buyer had his/her own incomplete information about the weights of product specifications.