Modeling Group Users Interests From Perspective of Different Network Packet Levels
In recent years, the users interests have been widely used to customize the webpages and predict users requests. During users interests extraction process, log files on the web servers or users navigation history data have been used a lot. However, little attention has been paid to the network packets which may actually have much hidden information about users preferences and profiles. Is the network packet content a good indicator of users behaviors? To answer this challenging question, a novel approach is presented to extract group users behaviors through analysis of the network packets to highlight the relationships of intra-group interests and inter-group interests. The experiment results show that the relevance and correlation analysis is helpful to provide a comprehensive understanding of users behaviors obscured in the network packets, contributing to the network security management and website impressiveness improvement.
group users interests common interest interest matrix polularity
Jian-Guo Ma Qiang Ma Ling Xing
School of Information Engineering Southwest University of Science and Technology Mianyang, China
国际会议
武汉
英文
774-777
2010-05-21（万方平台首次上网日期，不代表论文的发表时间）