Title :
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
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.418
