Hadoop-Based Analysis for Large-Scale Click-Through Patterns in 4G Network

被引：0

作者：

Wang, Shuqiang ^{[1
]}

Shen, Yanyan ^{[1
]}

Hu, Jinxing ^{[1
]}

Xuan, Zhe ^{[2
]}

Lu, Zhe ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

[2] Huawei Cent Res Inst, Shenzhen, Peoples R China

来源：

WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS | 2015年 / 9204卷

关键词：

Click-through pattern; Big data; 4G network; Users request; WEB;

D O I：

10.1007/978-3-319-21837-3_81

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we focus on understanding what happens under the hood of HTTP traffic. We proposed a systematic approach to reconstruct users click-through patterns in web starting from raw network data. We validated the proposed method using a synthesized network traffic data set and a real-world 4G network traffic data set. The precision calculated by the proposed model is 93.7% and the recall is 91.6%. The experiment results on the real-world 4G network traffic data show that the click-through stream of 4G network is more deeper than that of 3G network.

引用

页码：829 / 835

页数：7

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