한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)

한국정보처리학회 (Korea Information Processing Society)
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상품 가격, 구매자 평가, 판매량에 관한 개인별 선호도에 기반한 구매 추천 기법

A recommendation method based on personal preferences regarding the price, rating and selling of products

  • Kim, Byungmin (Department of Computer Science and Engineering, Inha University) ;
  • Alguwaizani, Saud (Department of Computer Science and Engineering, Inha University) ;
  • Han, Kyungsook (Department of Computer Science and Engineering, Inha University)
  • 발행 : 2014.11.05
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초록

Recently several recommender systems have been developed in a variety of applications, but providing accurate recommendations that match the preferences and constraints of various users is quite challenging. This paper presents a method of recommending digital products based on the past preference of a user on the price, rating and selling volume of a product. Experimental results of the method with actual data of Amazon showed that the average accuracy of the recommendations made by the method is 85%. Although the results are preliminary, the method is potentially capable of making more accurate personalized recommendations than existing methods.

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