Analysis of internet users' interests based on windows GUI messages

Authors:
Jinhyuk Choi;Geehyuk Lee;Yonghoon Um
Affiliations:
School of Engineering, Information and Communications University, Daejeon, South Korea;School of Engineering, Information and Communications University, Daejeon, South Korea;IBM Ubiquitous Computing Laboratory, Seoul, South Korea
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Year:
2007

Citing 13
Cited 1

WebMate: a personal agent for browsing and searching

AGENTS '98 Proceedings of the second international conference on Autonomous agents
Mining navigation history for recommendation

Proceedings of the 5th international conference on Intelligent user interfaces
Learning users' interests by unobtrusively observing their normal behavior

Proceedings of the 5th international conference on Intelligent user interfaces
Learning user's preferences by analyzing Web-browsing behaviors

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Implicit interest indicators

Proceedings of the 6th international conference on Intelligent user interfaces
Implicit feedback for inferring user preference: a bibliography

ACM SIGIR Forum
Implicit user profiling for on demand relevance feedback

Proceedings of the 9th international conference on Intelligent user interfaces
Evaluating adaptive user profiles for news classification

Proceedings of the 9th international conference on Intelligent user interfaces
Display time as implicit feedback: understanding task effects

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Automated evaluation of search engine performance via implicit user feedback

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Recognizing user interest and document value from reading and organizing activities in document triage

Proceedings of the 11th international conference on Intelligent user interfaces
Detecting low usability web pages using quantitative data of users' behavior

Proceedings of the 28th international conference on Software engineering
Letizia: an agent that assists web browsing

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1

New Techniques for Data Preprocessing Based on Usage Logs for Efficient Web User Profiling at Client Side

WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is important to unobtrusively observe users' interactions on web browsers for the measurement of users' interest. Moreover, the observation should be performed on the client side in real time, because the contents of web pages are dynamically subject to change in the current Internet environment. In this paper, we suggest a simple method of inferring a user's interest for web contents by monitoring the amount of processed GUI messages while the user is reading a web page. We developed a software module that runs behind the Internet Explorer and monitors the number of processed GUI messages, the viewing time and the size of a web page. We found that the number of processed GUI messages, when properly normalized by the size of a web page, is close correlated with a user's interest for web contents.