The large amount of available information on the Web makes it hard for users to locate resources about particular topics of
interest. Traditional search tools, e.g., search engines, do not always successfully cope with this problem, that is, helpingusers to seek the right information. In the personalized search domain, focused crawlers are receiving increasing attention,as a well-founded alternative to search the Web. Unlike a standard crawler, which traverses the Web downloading all the documentsit comes across, a focused crawler is developed to retrieve documents related to a given topic of interest, reducing the networkand computational resources. This chapter presents an overview of the focused crawling domain and, in particular, of the approachesthat include a sort of adaptivity. That feature makes it possible to change the system behavior according to the particularenvironment and its relationships with the given input parameters during the search.
%0 Journal Article
%1 keyhere
%A Micarelli, Alessandro
%A Gasparetti, Fabio
%D 2007
%J The Adaptive Web
%K adaptive agent crawling imported web
%P 231--262
%T Adaptive Focused Crawling
%U http://dx.doi.org/10.1007/978-3-540-72079-9_7
%X The large amount of available information on the Web makes it hard for users to locate resources about particular topics of
interest. Traditional search tools, e.g., search engines, do not always successfully cope with this problem, that is, helpingusers to seek the right information. In the personalized search domain, focused crawlers are receiving increasing attention,as a well-founded alternative to search the Web. Unlike a standard crawler, which traverses the Web downloading all the documentsit comes across, a focused crawler is developed to retrieve documents related to a given topic of interest, reducing the networkand computational resources. This chapter presents an overview of the focused crawling domain and, in particular, of the approachesthat include a sort of adaptivity. That feature makes it possible to change the system behavior according to the particularenvironment and its relationships with the given input parameters during the search.
@article{keyhere,
abstract = {The large amount of available information on the Web makes it hard for users to locate resources about particular topics of
interest. Traditional search tools, e.g., search engines, do not always successfully cope with this problem, that is, helpingusers to seek the right information. In the personalized search domain, focused crawlers are receiving increasing attention,as a well-founded alternative to search the Web. Unlike a standard crawler, which traverses the Web downloading all the documentsit comes across, a focused crawler is developed to retrieve documents related to a given topic of interest, reducing the networkand computational resources. This chapter presents an overview of the focused crawling domain and, in particular, of the approachesthat include a sort of adaptivity. That feature makes it possible to change the system behavior according to the particularenvironment and its relationships with the given input parameters during the search.},
added-at = {2007-11-06T16:56:39.000+0100},
author = {Micarelli, Alessandro and Gasparetti, Fabio},
biburl = {https://www.bibsonomy.org/bibtex/2c88ce2a582ae9c2039bf55d4311047a8/wnpxrz},
description = {SpringerLink - Book Chapter},
interhash = {ae606423be9b1bd3d59d85fad00a26f6},
intrahash = {c88ce2a582ae9c2039bf55d4311047a8},
journal = {The Adaptive Web},
keywords = {adaptive agent crawling imported web},
pages = {231--262},
timestamp = {2007-11-06T16:56:39.000+0100},
title = {Adaptive Focused Crawling},
url = {http://dx.doi.org/10.1007/978-3-540-72079-9_7},
year = 2007
}