Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Method for Quickly Obtaining User Browsing Behavior Data Under Cloud Computing

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_41,
        author={Jinbao Shan and Haitao Guo},
        title={Method for Quickly Obtaining User Browsing Behavior Data Under Cloud Computing},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Cloud computing User browsing behavior data Fast data acquisition Acquisition speed},
        doi={10.1007/978-3-030-19086-6_41}
    }
    
  • Jinbao Shan
    Haitao Guo
    Year: 2019
    Method for Quickly Obtaining User Browsing Behavior Data Under Cloud Computing
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_41
Jinbao Shan1,*, Haitao Guo1
  • 1: Shandong Institute of Commerce and Technology
*Contact email: maojun1980@126.com

Abstract

Under cloud computing, traditional user browsing behavior data acquisition method cannot optimize data classification, which results in slow and low accuracy of data acquisition. For this reason, a fast method to obtain user browsing behavior data under cloud computing is proposed. Using node processing user browsing behavior data, complete the query the user browsing behavior data collection, provide the conditions for data classification optimization, the data to calculate the similar characteristics after multiple iterations data peak, peak according to complete the user browsing behavior data classification, the classification of output data integration, realize the cloud user browsing behavior fast data acquisition. Compared with the traditional data acquisition method, the data acquisition speed of the design method is increased by 20 min and the accuracy is increased by 45%. The experimental data show that the overall performance of the proposed method is better than the traditional method, and it has strong practicability and high reference value.