Graph based crawler seed selection

Shuyi Zheng; Pavel Dmitriev; C. Lee Giles

doi:10.1145/1526709.1526870

Graph based crawler seed selection

Shuyi Zheng, Pavel Dmitriev, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper seeds can increase the number of pages a crawler will discover, and can result in a collection with more "good" and less "bad" pages. Based on the analysis of the graph structure of the web, we propose several seed selection algorithms. Effectiveness of these algorithms is proved by our experimental results on real web data. Copyright is held by the author/owner(s).

Original language	English (US)
Title of host publication	WWW'09 - Proceedings of the 18th International World Wide Web Conference
Pages	1089-1090
Number of pages	2
DOIs	https://doi.org/10.1145/1526709.1526870
State	Published - Dec 1 2009
Event	18th International World Wide Web Conference, WWW 2009 - Madrid, Spain Duration: Apr 20 2009 → Apr 24 2009

Other

Other	18th International World Wide Web Conference, WWW 2009
Country	Spain
City	Madrid
Period	4/20/09 → 4/24/09

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All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Cite this

Zheng, S., Dmitriev, P., & Giles, C. L. (2009). Graph based crawler seed selection. In WWW'09 - Proceedings of the 18th International World Wide Web Conference (pp. 1089-1090) https://doi.org/10.1145/1526709.1526870

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abstract = "This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper seeds can increase the number of pages a crawler will discover, and can result in a collection with more {"}good{"} and less {"}bad{"} pages. Based on the analysis of the graph structure of the web, we propose several seed selection algorithms. Effectiveness of these algorithms is proved by our experimental results on real web data. Copyright is held by the author/owner(s).",

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year = "2009",

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AU - Dmitriev, Pavel

AU - Giles, C. Lee

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N2 - This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper seeds can increase the number of pages a crawler will discover, and can result in a collection with more "good" and less "bad" pages. Based on the analysis of the graph structure of the web, we propose several seed selection algorithms. Effectiveness of these algorithms is proved by our experimental results on real web data. Copyright is held by the author/owner(s).

AB - This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper seeds can increase the number of pages a crawler will discover, and can result in a collection with more "good" and less "bad" pages. Based on the analysis of the graph structure of the web, we propose several seed selection algorithms. Effectiveness of these algorithms is proved by our experimental results on real web data. Copyright is held by the author/owner(s).

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M3 - Conference contribution

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EP - 1090

BT - WWW'09 - Proceedings of the 18th International World Wide Web Conference

T2 - 18th International World Wide Web Conference, WWW 2009

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Access to Document

10.1145/1526709.1526870