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Adaptive Focused Crawling.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Brusilovsky, Peter
Kobsa, Alfred
Nejdl, Wolfgang
Micarelli, Alessandro
Gasparetti, Fabio
Source :
Adaptive Web; 2007, p231-262, 32p
Publication Year :
2007

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, helping users 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 documents it comes across, a focused crawler is developed to retrieve documents related to a given topic of interest, reducing the network and computational resources. This chapter presents an overview of the focused crawling domain and, in particular, of the approaches that include a sort of adaptivity. That feature makes it possible to change the system behavior according to the particular environment and its relationships with the given input parameters during the search. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540720782
Database :
Complementary Index
Journal :
Adaptive Web
Publication Type :
Book
Accession number :
33097538
Full Text :
https://doi.org/10.1007/978-3-540-72079-9_7