Paper Info
Title
Using Markov models and innovation-diffusion as a tool for predicting digital library access and distribution
Abstract
This paper, discusses a general approach to predicting data access rates and user access patterns for planning distribution capacities and for monitoring data usage. The approach uses a steady-state Markov model to describe user activities and innovation-diffusion to describe the rate at which a na聥ve population adopts accessing data from a digital library.
Year
DOI
Venue
2001
10.1145/379437.379811
JCDL
Keywords
Field
DocType
digital library,data usage,steady-state markov model,user access pattern,user activity,general approach,data access rate,digital library access,distribution capacity,data access,markov model,user modeling,user model,steady state,markov models
Population,World Wide Web,Information retrieval,Markov model,Computer science,User modeling,Digital library,EOSDIS,Data access
Conference
ISBN
Citations 
PageRank 
1-58113-345-6
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Bruce R. Barkstrom17317.54