上海交通大学学报(英文版) ›› 2012, Vol. 17 ›› Issue (2): 215-222.doi: 10.1007/s12204-012-1255-3

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Personalization Method of E-Catalog Based on User Interesting Degree

NIE Gui-hua (聂规划), XU Shang-ying (徐尚英), CHEN Dong-lin (陈冬林)   

  1. (Institute of E-Business, Wuhan University of Technology, Wuhan 430070, China)
  • 出版日期:2012-04-28 发布日期:2012-05-31

Personalization Method of E-Catalog Based on User Interesting Degree

NIE Gui-hua∗ (聂规划), XU Shang-ying (徐尚英), CHEN Dong-lin (陈冬林)   

  1. (Institute of E-Business, Wuhan University of Technology, Wuhan 430070, China)
  • Online:2012-04-28 Published:2012-05-31

摘要: The user interesting degree evaluation index is designed to fulfill the users’ real needs, which includes the user’ attention degree of commodity, hot commodity and preferential commodity. User interesting degree model (UIDM) is constructed to justify the value of user interesting degree; the personalization approach is presented; operations of add and delete nodes (branches) are covered in this paper. The improved e-catalog is more satisfied to users’ needs and wants than the former e-catalog which stands for enterprises, and the improved one can complete the recommendation of related products of enterprises.

关键词: user interesting degree model (UIDM), user attention, hot commodity, preferential commodity, electronic catalog, personalization approach

Abstract: The user interesting degree evaluation index is designed to fulfill the users’ real needs, which includes the user’ attention degree of commodity, hot commodity and preferential commodity. User interesting degree model (UIDM) is constructed to justify the value of user interesting degree; the personalization approach is presented; operations of add and delete nodes (branches) are covered in this paper. The improved e-catalog is more satisfied to users’ needs and wants than the former e-catalog which stands for enterprises, and the improved one can complete the recommendation of related products of enterprises.

Key words: user interesting degree model (UIDM), user attention, hot commodity, preferential commodity, electronic catalog, personalization approach

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