Augmenting Information Seeking on the World Wide Web Using Collaborative Filtering Techniques
Table of Contents
1. Introduction
1.1 Overview
2. Applying Information Seeking to Electronic Environments
2.1 Information Seeking Overview
2.1.1 Information Seeking and Information Retrieval
2.1.1 Information Seeking Models
2.1.1.1 Ellis' Model of Information Seeking
2.1.1.2 Applying Ellis' Model
2.1.3 Kuhlthau's Model of the Information Search Process
2.1.4 Belkin's Information Seeking Process Model
2.1.5 Belkin's Anomalous States of Knowledge
2.2.1 Expanding Information Seeking
2.2.1.1 Gatekeepers
2.2.1.2 Environmental Scanning
2.3 Collaborative Information Seeking
2.3.1 Capitalizing on Information Seeking Research
2.4 Bibliometrics
2.4.1Bibliometrics Overview
2.4.1.1Bibliometric Coupling
2.4.1.2 Cocitation Analysis
2.5 Bibliometric Laws
2.5.1 Zipf's Law
2.5.1.1 Zipf and the Web
2.5.2 Lotka's Law
2.5.3 Bradford's Law
2.5.3.1 Bradford and the Web
2.6 Bibliometrics and the World Wide Web
2.6.1World Wide Web Surveys
2.6.1.1 Gathering Bibliometric Data from Web servers
2.6.1.2 Gathering Bibliometric Data from External Web Sources
3. The Internet and World Wide Web
3.1 World Wide Web Foundations
3.2 Information Seeking on the World Wide Web
3.2.1 Organizing Information on the Web
2.4 Leveraging Information Seeking on the Web
3.2.1.1 Looking for Scalable Models on the Web
3.2.2 Web Browsing Studies
3.3 Web Browser Data Sources
3.3.1 Bookmarks
3.3.1.1 Bookmarks as Information Seeking Resources
3.3.1.2 Augmenting Bookmarks
3.3.2 History Logs
3.3.2.1 Web Browser History Files
3.3.3 Challenges in Collecting Web browser data
3.4 Server Log Data
3.4.1Web Servers
3.4.1.1 Web Server Log Accuracy
3.4.1.2 Proxy Servers
3.4.1.3 Network Servers
3.4.2 Server Log Studies
3.4.2.1 Alternate Views of Server Logs
4. Collaborative Filtering
4.1 Information Filtering
4.1.2 Information Filtering on the World Wide Web
4.1.2.1 Information Filtering Systems
4.1.2.2 Information Filtering-Oriented Studies
4.1.3 Information Filtering and Retrieval on the World Wide Web
4.1.3.1 WEBFIND
4.1.3.2 Letizia
4.2 Collaborative Filtering Studies
4.3 Collaborative Filtering on the Internet
4.3.1 Tapestry
4.3.2 Lotus Notes
4.3.3 GroupLens
4.4 Collaborative Filtering on the World Wide Web
4.4.1 Influential Web Collaborative Filtering Systems
4.4.1.1 Mosaic
4.4.1.2 Firefly
4.4.1.3 Yahoo!
4.4.2 General Web Collaborative Filtering Systems
4.4.2.1 Siteseer
4.4.2.2 PHOAKS
4.4.2.3 Fab
4.4.2.4 Grassroots
5. Conclusion
6. Suggested Research Projects
6.1 Research Problem A
6.1.1Introduction
6.1.2 Research Questions
6.1.3 Discussion
6.1.4 Method
6.1.5 Expectations
6.1.6 Significance of the Research
6.2 Research Problem B
6.2.1 Introduction
6.2.2 Research Questions
6.2.3 Discussion
6.2.4 Method
6.2.5 Expectations
6.2.6 Significance of the Research
7. References
7.1 Appendix A. Typical Web Server Log