Paper Info
Title
A Simulation-based Approach to Evaluating the Effectiveness of Navigation Compression Models
Abstract
Within the growing literature on web mining, there is a rel- atively coherent thread of ideas focused on improvements to web navigation. In this paper we focus on the idea of web usage mining, and present a general framework for deploying the mining results and evaluating the performance improve- ment. The generalized objects created by the application of learning methods are called Navigation Compression Models (NCMs), and we show a method for creating them and using them to make dynamic recommendations. Of note is the observation that no application of any learning method to web data makes sense without rst formulating a goal framework against which that method can be evalu- ated. This simple idea is typically the missing ingredient of many WWW mining techniques. In this paper we present a simulation-based approach to evaluating the effectiveness of Navigation Compression Models non-intrusively by measur- ing the potential navigation improvement. We evaluate the improvement of user navigation using a quantitative measure called navigation improvement (NI), which indicates whether we are actually ìimprovingî the user's navigation by reducing the number of hyperlinks tra- versed to nd ìrelevantî pages.
Year
Venue
Keywords
2005
FLAIRS Conference
web usage mining,web mining,web navigation
Field
DocType
Citations 
Web intelligence,Web mining,Web analytics,Computer science,Thread (computing),Web modeling,Web navigation,Artificial intelligence,Hyperlink,Machine learning,Performance improvement
Conference
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Tong Zheng1112.54
Randy Goebel260055.34