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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Billsus, D., & Pazzani, M. J. (2007). Adaptive news access. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4321 LNCS, pp. 550–570). Springer Verlag. https://doi.org/10.1007/978-3-540-72079-9_18
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