Augmenting Information Seeking on the World-Wide Web using Collaborative Filtering Techniques

Abstract

This paper reviews several areas of study in order to form an extensive view of the issues involved in understanding and improving how a World-Wide Web browser user (Web user) can discover new information on the World-Wide Web.

There are seven main sections to this paper:

Section 1: Introduction
This Introduction and Overview, intended to explain and layout the overall topics of this paper.
Section 2: Applying Information Seeking to Electronic Environments
This section reviews the important models and studies in Information Seeking and Bibliometrics to understand and analyze Information Systems use.
Section 3: The Internet and the World-Wide Web
This section introduces the Internet and World-Wide Web, some of their basic standards and functionalities. Also included are descriptions and reviews of the data sources and measurement methods currently available to understand Web usage activity.
Section 4: Collaborative Filtering
This section provides a general introduction to Collaborative Filtering and presents recent significant studies and systems for Information Filtering using both the Internet and the World-Wide Web. Also included are studies that illustrate general Collaborative Filtering techniques and a review of current Collaborative Filtering systems for both the Internet and the World-Wide Web.
Section 5: Conclusion
This section concludes the research overview and summarizes the general ideas in the paper.
Section 6: Suggested Research Projects
This section proposes three research projects, each designed to answer questions about improving Information Seeking on the World-Wide Web.
Section 7: Bibliography and Appendix A
A list of the works cited in this paper and explanatory information presented in the appendix.
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