A new weighted text filtering method

被引：0
|
作者：
Li, D [1 ]
Cao, YD [1 ]
Wu, SY [1 ]
机构：
[1] Beijing Inst Technol, Dept Comp Sci & Engn, Sch Informat Engn, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (IEEE NLP-KE'05) | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to describe the user's profile exactly and provide what they need in information filtering, a new method to weight the user's characterized demand and filter for him is put forward. In the paper, at first we define the terms' weight of the user's profile according to the order of the proposed sequence, then calculate the similarity between the user's profile and the documents using the semantic dictionaries of Synonym Dictionary and HowNet, and at last submit the results to the user sorted in descending order of the similarity. The experiments show that it can improve the precision of information filtering.
引用
收藏
页码：695 / 698
页数：4
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