摘要
信息过滤目的在于依据用户兴趣进行动态信息搜索以满足用户的需求。文章给出了基于Web的信息过滤机制。它根据用户信息需求,建立公共模板,利用搜索引擎获取信息源;然后利用文档与用户模板的匹配机制,将相关文档推送给用户。在文档结构分析和相关反馈的基础上,提出了特征抽取和权重分配算法;将布尔模型和向量空间模型相结合,提出了文档与用户模板匹配算法。
Information Filtering aims at meet users' requirements by retrieving the documents from internet according to users interests.The mechanism for information filtering is presented in this paper.Based on users informational needs,it constructs a public users profile,and it applies retrieval engines to gain the informational sources.Consequently,it respectively pushes the related documents to users.It puts forward the approach of features extraction and weights formula,and it also proposes the algorithms of match between documents and profiles by means of combination Boolean Model with Vector Space Model.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第2期190-192,共3页
Computer Engineering and Applications
