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基于文本过滤的数字图书馆个性化服务技术
引用本文:张帆,杨炳儒.基于文本过滤的数字图书馆个性化服务技术[J].计算机工程与应用,2006,42(31):206-208.
作者姓名:张帆  杨炳儒
作者单位:北京科技大学,信息工程学院,北京,100083;北京科技大学,信息工程学院,北京,100083
摘    要:在数字图书馆的应用中,个性化服务可以为用户提供符合其兴趣的检索结果。提供了一种针对数字图书馆个性化服务策略的文本过滤技术,通过在向量空间内建立用户兴趣模型和文本内容特征模型,计算它们的相似度后,将用户不感兴趣的文本过滤掉。详细描述了具体的建模过程和个性化文本过滤算法,最后给出了在实际的数字图书馆工程中的验证结果。

关 键 词:文本过滤  个性化  数字图书馆  向量空间
文章编号:1002-8331(2006)31-0206-03
收稿时间:2006-01
修稿时间:2006-01

Research about Personalized Service Technology in Digital Library by Using Content-Based Filtering
ZHANG Fan,YANG Bing-ru.Research about Personalized Service Technology in Digital Library by Using Content-Based Filtering[J].Computer Engineering and Applications,2006,42(31):206-208.
Authors:ZHANG Fan  YANG Bing-ru
Affiliation:Information and Engineering School,University of Science and Technology Beijing, Beijing 100083,China
Abstract:In application of digital library the personalized service can offer retrieval result satisfying user's interests.This paper offers one content-based filtering technique to digital library personalized service.By building user's need model and content feature model in vector space and caculating their similarity,the texts which don't satisfy user's interests will be filtered.In addition,the paper detailedly represents the process of building the model and the algorithm of personalized content-based filtering.At last,some practical results in application on digital library are given.
Keywords:content-based filtering  personalization  digital library  vector space
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