Method for Quickly Obtaining User Browsing Behavior Data Under Cloud Computing

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.