@incollection{BillsusPazzani07p550,
title = {Adaptive News Access},
address = {Berlin, Heidelberg},
author = {Daniel Billsus and Michael J. Pazzani},
booktitle = {The Adaptive Web: Methods and Strategies of Web Personalization},
chapter = {18},
crossref = {BrusilovskyKobsaNejdl2007},
editor = {Peter Brusilovsky and Alfred Kobsa and Wolfgang Nejdl},
pages = {550-570},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
url = {http://dx.doi.org/10.1007/978-3-540-72079-9_18},
volume = {4321},
year = {2007},
abstract = {This chapter describes how the adaptive web technologies discussed
in this book have been applied to news access. First, we provide
an overview of different types of adaptivity in the context of news
access and identify corresponding algorithms. For each adaptivity
type, we briefly discuss representative systems that use the described
techniques. Next, we discuss an in-depth case study of a personalized
news system. As part of this study, we outline a user modeling approach
specifically designed for news personalization, and present results
from an evaluation that attempts to quantify the effect of adaptive
news access from a user perspective. We conclude by discussing recent
trends and novel systems in the adaptive news space.},
timestamp = {2008.02.10}, file = {SpringerLink:2007/BillsusPazzani07p550.pdf:PDF}, isbn = {978-3-540-72078-2}, owner = {flint},
keywords = {adaptive ai information management news paper springer v0805 web }
}
::