C4.5: programs for machine learning
C4.5: programs for machine learning
Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Learning user's preferences by analyzing Web-browsing behaviors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Experience with personalization of Yahoo!
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Personal ontologies for web navigation
Proceedings of the ninth international conference on Information and knowledge management
Proceedings of the 6th international conference on Intelligent user interfaces
ACM SIGKDD Explorations Newsletter
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
PVA: a self-adaptive personal view agent system
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
An Adaptive Recommendation System without Explicit Acquisition of User Relevance Feedback
Distributed and Parallel Databases
Future View: Web Navigation Based on Learning User's Browsing Patterns
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
WebScout: Support for Revisitation of Web Pages within a Navigation Session
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
The indexable web is more than 11.5 billion pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Journal of the American Society for Information Science and Technology
Off the beaten tracks: exploring three aspects of web navigation
Proceedings of the 15th international conference on World Wide Web
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Demographic prediction based on user's browsing behavior
Proceedings of the 16th international conference on World Wide Web
SIFT: a tool for wide-area information dissemination
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Intelligent Browsing for Multimedia Applications
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Automated Web Site Evaluation - An Approach Based on Ranking SVM
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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This paper describes our efforts to investigate factors in user browsing behavior to automatically evaluate Web pages that the user shows interest in. To evaluate Web pages automatically, we developed a client-side logging/analyzing tool: the GINIS Framework. We do not focus on just clicking, scrolling, navigation, or duration of visit alone, but we propose integrating these patterns of interaction to recognize and evaluate user response to a given Web page. Unlike most previous Web studies analyzing access through proxies or servers, this work focuses primarily on client-side user behavior using a customized Web browser. First, GINIS unobtrusively gathers logs of user behavior through the user's natural interaction with the Web browser. Then, it analyses the logs and extracts effective rules to evaluate Web pages using a C4.5 machine learning system. Eventually, GINIS becomes able to automatically evaluate Web pages using these learned rules, after which the evaluation can be utilized for a variety of user profiling applications. We successfully confirmed, for example, that time spent on a Web page is not the most important factor in predicting interest from behavior, which conflicts with the findings of most previous studies.