Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Structuring and visualising the WWW by generalised similarity analysis
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Graphic and numerical methods to access navigation in hypertext
International Journal of Human-Computer Studies
On the Depth and Dynamics of Online Search Behavior
Management Science
Modeling Browsing Behavior at Multiple Websites
Marketing Science
Modeling Consumer Purchasing Behavior in Social Shopping Communities with Clickstream Data
International Journal of Electronic Commerce
The Brand Effect of Key Phrases and Advertisements in Sponsored Search
International Journal of Electronic Commerce
Goal attainment on long tail web sites: An information foraging approach
Decision Support Systems
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A model that uses navigational complexity to classify on-line shopping sessions and information-search tasks as successful or unsuccessful is described. A graph-based approach to representing clickstream is employed to capture the complexity. A total of 485 individual goal-oriented shopping sessions on five different Web sites were analyzed. Ten complexity metrics were studied in order to select the ones that can predict the outcome (i.e., success or failure) of a goal-oriented navigational session. The practical applications to e-business, including the implementation of the proposed model, are discussed.