Buyer Category-Based Intelligent e-Commerce Meta-Search Engine

구매자 카테고리 기반 지능형 e-Commerce 메타 서치 엔진

  • Kim, Kyung-Pil (Department of Information and Industrial Engineering, Yonsei University) ;
  • Woo, Sang-Hoon (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Chang-Ouk (Department of Information and Industrial Engineering, Yonsei University)
  • 김경필 (연세대학교 정보산업공학과) ;
  • 우상훈 (연세대학교 정보산업공학과) ;
  • 김창욱 (연세대학교 정보산업공학과)
  • Received : 20060600
  • Accepted : 20060800
  • Published : 2006.09.30

Abstract

In this paper, we propose an intelligent e-commerce meta-search engine which integrates distributed e-commerce sites and provides a unified search to the sites. The meta-search engine performs the following functions: (1) the user is able to create a category-based user query, (2) by using the WordNet, the query is semantically refined for increasing search accuracy, and (3) the meta-search engine recommends an e-commerce site which has the closest product information to the user’s search intention by matching the user query with the product catalogs in the e-commerce sites linked to the meta-search engine. An experiment shows that the performance of our model is better than that of general keyword-based search.

Keywords

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