A Composite Mode Filtering Model Based-on Content

Author

Nie, Wenyan ; Wang, Zhonggen

Author_Institution

Sch. of Electr. & Inf. Eng., Huainan Normal Univ., Huainan, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1670

Lastpage

1673

Abstract

Most of existing text filtering systems are based on keywords, this kind of system can accomplish filtering task basically, not requiring a high precision. To improving the efficiency of filtering, the paper presents a composite mode filtering model based-on content. Its main idea is shown as follows: the matching of Semantic framework based-on the matching technology of keywords ensures the speed of information filtering, and also improves the precision of information filtering. Then its validity is proved by instances.

Keywords

information filtering; pattern matching; text analysis; DARPA; NIST; TREC; Text Retrieval Conference; composite mode filtering model based-on content; filtering efficiency improvement; filtering task; information filtering precision improvement; information filtering speed ensurance; semantic framework matching; text filtering systems; text filtering technology; Feature extraction; Filtering algorithms; Information filters; Matched filters; Semantics; composite mode; content filtering; profile matching; semantic framework;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.418

Filename

6394737