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Analyzing the Browse Patterns of Mobile Clients Atul Adya, Paramvir Bahl, Lili Qiu
 

Summary: Analyzing the Browse Patterns of Mobile Clients
Atul Adya, Paramvir Bahl, Lili Qiu
Microsoft Research, Redmond, Washington
adya, bahl, liliq@microsoft.com
Abstract--
We study the dynamics of a large popular commercial Web
site designed specifically for users who access it via their cell-
phones and PDAs. Unlike most previous Web studies that have
analyzed accesses seen by proxies and servers from clients con-
nected via the wired network, we focus primarily on client ac-
cesses made over wireless channels and made for download-
ing content on small devices for offline browsing. We carry out
user-behavior analysis as users authenticate themselves before
accessing and then every access is logged with a unique user
identifier. Using browser traces gathered over a period of 12
days, we perform detailed content analysis, document popular-
ity analysis and server load analysis. We answer questions like
what sorts of content wireless users are most interested in, when
and how much load they put on the servers, and how much time
they spend on the channel while accessing the Web wirelessly.

  

Source: Adya, Atul - Google Labs
Qiu, Lili - Department of Computer Sciences, University of Texas at Austin

 

Collections: Computer Technologies and Information Sciences