DocumentCode
3228411
Title
A heuristic web information retrieval method
Author
Yang, Yi ; Peng, Yan-Ni ; Tang, Can
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., CTBU, Chongqing, China
fYear
2009
fDate
25-28 July 2009
Firstpage
1292
Lastpage
1296
Abstract
In view of the poor information retrieval performance because of numerous disordered and semi-structured web information, a heuristic web information retrieval method which combines query intention classification research and topic-specific retrieval is proposed. In this method, a web retrieval model based on a scheme of one pretreatment and two retrievals is presented, and it discusses its designing principle, key technology and algorithm. Simulation experiments show that the proposed method can obviously improve retrieval performance compared with traditional information retrieval methods.
Keywords
Internet; information retrieval; heuristic Web information retrieval method; pretreatment; query intention classification research; topic-specific retrieval; Algorithm design and analysis; Computer science; Computer science education; Data mining; Displays; Educational institutions; Indexing; Information retrieval; Internet; Search engines; heuristic; information retrieval; query behaviors; query intention classification; retrieval performance; topic-specific retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-3520-3
Electronic_ISBN
978-1-4244-3521-0
Type
conf
DOI
10.1109/ICCSE.2009.5228142
Filename
5228142
Link To Document