Graph based crawler seed selection

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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Algorithms, Design, Experimentation, Performance Keywords Crawler, Seed Selection, PageRank, Graph Analysis

• Type: Conference
• Year: 2009
• Where: WWW
• Authors: Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
• Keywords: General Terms Algorithms, Internet Technology, Seed Selection Algorithms, Web-scale Crawler, WWW 2009