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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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References
Zhang S, Wu G (2017) A fault-tolerant asymmetric DHT square method for dynamic heterogeneous networks. Comput Res Dev, 100–105 (2017) (in Chinese)
Ke Z (2014) Evaluation and future development of network search engine. J Langfang normal Univ 13(43):25–32 (in Chinese)
Li X, Yan H, Wang J (2015) Search engine: principle, technology and system. Science Press, Beijing (in Chinese)
Shen H, Pan Y (2016) A review of research on search engines. Comput Technol Dev (2016) (in Chinese)
Li G (2014) The present situation and development of network search engine. Enterprise Science and Technology and Development. Enterprise Science (in Chinese)
Huanzhe Li, Xiaoliang Liu, Daquan Guo, Fan Wang, Qiang Cao, Shumin Ma (2013) Discussion on J2EE architecture. J Hebei Acad Sci 3(4):152–156 (in Chinese)
Xu B, Zhang W (2013) Search engine and Information acquisition Technology. Tsinghua University Press, Beijing (in Chinese)
Zhang X, Pull M (2011) Research and development of intelligent search engine technology. Comput Eng Appl 3(24):265–285 (in Chinese)
Hongsheng Xu, Zhang Ruiling (2016) Novel approach of semantic annotation by fuzzy ontology based on variable precision rough set and concept lattice. Int J Hybrid Inf Technol 9(4):25–40
Zhang Y, Chen Y, Zhang G (2015) Research and development of search engine technology. Comput Eng 31(14):150–156 (in Chinese)
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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Authors and Affiliations
Luoyang Normal University, Luoyang, 471934, China
Ganglong Fan & Hongsheng Xu
Henan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce, Luoyang, 471934, China
Ganglong Fan & Hongsheng Xu
- Ganglong Fan
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Correspondence toHongsheng Xu.
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Editors and Affiliations
Shanghai University, Shanghai, China
Zheng Xu
University of Texas at San Antonio, San Antonio, TX, USA
Kim-Kwang Raymond Choo
University of Guelph, Guelph, ON, Canada
Ali Dehghantanha
Kennesaw State University, Marietta, GA, USA
Reza Parizi
Manchester Metropolitan University, Stockport, UK
Mohammad Hammoudeh
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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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