Abstract
In this paper, the running parameters of crawler nodes are dynamically adjusted to make them more manageable and configurable. The running parameters include crawling speed, crawling depth, number of crawler threads. After processing and organizing the information, the search engine provides Web information query service for users, crawls continuously on Internet, collects web information. Then the information is understood, extracted, organized and processed by the indexer, and the index database is established. The paper presents novel of web search strategy based on web page block granularity analysis algorithm and correlation calculation model.
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Acknowledgements
This paper is supported by Henan key Laboratory for Big Data Processing & Analytics of Electronic Commerce, and also supported by the science and technology research major project of Henan province Education Department (17B520026), Key scientific research projects in Henan province universities (17A880020, 15A120012).
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Fan, G., Xu, H. (2020). Novel of Web Search Strategy Based on Web Page Block Granularity Analysis Algorithm and Correlation Calculation Model. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_75
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DOI: https://doi.org/10.1007/978-3-030-15235-2_75
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