Parallel crawlers
By Junghoo Cho, Hector Garcia-Molina. The Web Conference, 2002
375 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/2e77aff5b567d6508830cd4751053bd1ca2b876b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tat-seng Chua
- Paolo Boldi
- Sebastiano Vigna
- Xiangnan He
- Xuelong Li
- Bruno Ribeiro
- Massimo Santini
- Sepandar D. Kamvar
In Computer Networks and Communications
- Paolo Boldi
- Sebastiano Vigna
- Massimo Santini
- Taher H. Haveliwala
- Abdullah Bin Gani
- Tat-seng Chua
- Christopher D. Manning
- Bruno Ribeiro
In Information Systems
- Paolo Boldi
- Sebastiano Vigna
- Sepandar D. Kamvar
- Taher H. Haveliwala
- Gene H. Golub
- Massimo Santini
- Christopher D. Manning
- Abdullah Bin Gani
Citations in the corpus
- Big Data: Survey, Technologies, Opportunities, and Challenges (2014, background): “In search engines, web crawler is a component that downloads and stores web pages [72].”
- Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “A crawler [72] is a program that downloads and stores webpages for a search engine.”
- Exploiting the Block Structure of the Web for Computing (2003, background): “4Generally this requires a site-based crawler (such as the We bBase crawler [4]) which maintains a pool of active hosts, and craw ls hosts to completion before adding new hosts to the pool.”
- UbiCrawler: a scalable fully distributed Web crawler (2004, methodology): “In the classification of [9], agents can use a different amount of coordination: at one extreme, all agents crawl the network independently, and one hopes that their overlap will be small due to a careful choice of the starting URLs; at the other extreme, a central coordinator divides the network ei”
- Estimating and sampling graphs with multidimensional random walks (2010, methodology): “They are used to collect Web data [10], search P2P networks [6, 38], and decrease the time to discover “new wireless nodes” [2].”