DocumentCode :
3233078
Title :
Improved depth first algorithm and its application in information retrieval
Author :
Xiong, Jianbin ; Li, Zhenkun ; Fan, Luqiao ; Liu, Dongping
Author_Institution :
Fac. of Comput., Univ. of Technol., Guangzhou, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
69
Lastpage :
73
Abstract :
With the rapid growth of the network information, how to search the relative information in the web becomes a new challenge. The algorithm of search engine is the key to search on web accurately and rapidly, and the research of search engine algorithm is still a hot issue of Web-search. The standard depth-first algorithm has some insufficient that include dead circulation and low recall-precision. It provides a developed depth-first algorithm to improve the recall-precision and accuracy of search, and use it to search in small and medium-sized websites.
Keywords :
Web sites; information retrieval; search engines; Web search; Websites; improved depth first algorithm; information retrieval; network information; recall-precision; search engine; Accuracy; Clustering algorithms; Computer architecture; Engines; World Wide Web; clustering trip; depth-first algorithm; hierarchical clustering; text similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645357
Filename :
5645357
Link To Document :
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