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A Method for Focused Crawling Using Combination of Link Structure and Content Similarity
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.192006 IEEE/WIC/ACM International Confe ...
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Mohsen Jamali, Hassan Sayyadi, Babak Bagheri Hariri, Hassan Abolhassani, "A Method for Focused Crawling Using Combination of Link Structure and Content Similarity," Web Intelligence, IEEE / WIC / ACM International Conference on, pp. 753-756, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006.
 
 
BibTex
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@article{ 10.1109/WI.2006.19,
author = {Mohsen Jamali and Hassan Sayyadi and Babak Bagheri Hariri and Hassan Abolhassani},
title = {A Method for Focused Crawling Using Combination of Link Structure and Content Similarity},
journal ={Web Intelligence, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2747-7},
pages = {753-756},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2006.19},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Web Intelligence, IEEE / WIC / ACM International Conference on
TI - A Method for Focused Crawling Using Combination of Link Structure and Content Similarity
SN - 0-7695-2747-7
SP753
EP756
A1 - Mohsen Jamali,
A1 - Hassan Sayyadi,
A1 - Babak Bagheri Hariri,
A1 - Hassan Abolhassani,
PY - 2006
KW - null
VL - 0
JA - Web Intelligence, IEEE / WIC / ACM International Conference on
ER -
 
Mohsen Jamali, Sharif University of Technology, Iran
Hassan Sayyadi, Sharif University of Technology, Iran
Babak Bagheri Hariri, Sharif University of Technology, Iran
Hassan Abolhassani, Sharif University of Technology, Iran
The rapid growth of the world-wide web poses unprecedented scaling challenges for general-purpose crawlers and search engines. A focused crawler aims at selectively seek out pages that are relevant to a pre-defined set of topics. Besides specifying topics by some keywords, it is customary also to use some exemplary documents to compute the similarity of a given web document to the topic. In this paper we introduce a new hybride focused crawler, which uses link structure of documents as well as similarity of pages to the topic to crawl the web
Citation:
Mohsen Jamali, Hassan Sayyadi, Babak Bagheri Hariri, Hassan Abolhassani, "A Method for Focused Crawling Using Combination of Link Structure and Content Similarity," wi, pp.753-756, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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