个性化浏览中网页推荐的结构模型  

Webpage Recommendation Model in Personal Surfing

作　　者：苏贵洋[1] 王永成[1] 马颖华[1] 

机构地区：[1]上海交通大学计算机系,上海200030

出　　处：《计算机科学》2003年第4期99-101,共3页Computer Science

基　　金：国家自然科学基金(基金号:60082003)

摘　　要：This paper first introduces the inevitability direction of Internet personal technique's development, and then analyzes the differences between Information Retrieval and Information Filtering. Further more, combining with the group user interests and individual user interests, using VSM and FCM algorithm, this paper proposes a webpage recommendation model in personal surfing. This model can be applied not only in single website, but also in enterprise information collecting system. It also brings forward a method to extend concept. The advantage of the model is automatic concepts learning in the processing of user's feedback and browsing. Contrasting to concept dictionary method, it is more agility and gains well retrieval results.This paper first introduces the inevitability direction of Internet personal technique's development, and then analyzes the differences between Information Retrieval and Information Filtering. Further more, combining with the group user interests and individual user interests, using VSM and FCM algorithm, this paper proposes a webpage recommendation model in personal surfing. This model can be applied not only in single website, but also in enterprise information collecting system. It also brings forward a method to extend concept. The advantage of the model is automatic concepts learning in the processing of user's feedback and browsing. Contrasting to concept dictionary method, it is more agility and gains well retrieval results.

关 键 词：计算机网络 个性化浏览 网页推荐 结构模型 信息获取 信息检索 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] G354.4[自动化与计算机技术—计算机科学与技术]