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- W2151350147 abstract "This paper analyzes some characteristics of in-site search and proposes a self-adaptive strategy for web crawler. This strategy is polite and the number of concurrent threads is automatically adjusted according to the analyses of pages' average download time in different time units. Some factors such as web server load and network bandwidth are synthetically considered. The experimental results show that our strategy can achieve higher performance than some other strategies. It objectively reflects the practical crawling course of web crawler and fully exploit local and network resources." @default.
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- W2151350147 date "2012-01-01" @default.
- W2151350147 modified "2023-09-25" @default.
- W2151350147 title "A Self-adaptive Strategy for Web Crawler in In-Site Search" @default.
- W2151350147 cites W2137107230 @default.
- W2151350147 doi "https://doi.org/10.1007/978-3-642-33469-6_74" @default.
- W2151350147 hasPublicationYear "2012" @default.
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