An Exploration of Redundancy in Classification Schemes on the Web: A Study of EIA and Amazon Websites
Redundancy is prevalent in classification schemes applied on the Web. This study examines the redundancy of topics in Web-based classification schemes on two websites: Energy Information Administration (EIA) and Amazon. A content map for each classification scheme has been conducted. The results show that over half of the topics in the two classification schemes are redundant. This study identifies five patterns of redundancy in Web-based classification schemes: cycle, parallel, faceted, split/join, and black box. The advantages and disadvantages that redundancy poses for the organization of information and user information seeking behavior are also discussed.
School:University of North Carolina at Chapel Hill
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:classification evaluation systems information needs
Date of Publication:01/06/2005