The increasing amount of information on the internet makes it hard to filter
out relevant parts. Every second hundreds of news-articles and blog-entries
are written. A subscriber to this constant stream of information quickly looses
overview - a typical needle-in-a-haystack problem.
Especially in the field of news-reading, software can help to increase efficiency
by personalized filtering mechanisms. This filtering can be predictive based
on previous user-choices, but also heeds the power of social networks: Users
help each other by marking relevant information.
The author Ingo Schommer investigates the conceptual and practical development
of a web-based news-reader with advanced filtering features. Research
is conducted in the field of information visualization and filtering as well as in
competitive products and their shortcomings. The solution will mainly target
pro-users who are already accustomed with news-reading, the modern
"information junkies".