Designing for Personalized Article Content
Carolyn Gearig, Eytan Adar and Jessica Hullman
While personalized feeds and collaborative filtering have become extremely popular on media websites, content personalization has received much less attention. Automatically modifying the textual and multimedia features of an article offers significant opportunities. Doing so has potential benefit for journalists, media sites, and readers. However, personalizing content in a news context poses numerous challenges that are not encountered in other applications like education and targeted advertising. In this paper we articulate a design space and guidelines that we have defined in the process of developing a content personalization toolset.
Pre-print: PDF (1.2MB), Computation+Journalism'15, New York, NY, October 2-3, 2015.