Literatur Details

TitelNewsRec, a Personal Recommendation System for News Websites
InClassification - the Ubiquitous Challenge, Springer, Berlin, S. 394-401
Autor(en)Christian Bomhardt and Wolfgang Gaul
KeywordsPersonal Recommendation
AbstractThe behavior of how individuals select and read news depends on the underlying media for reproduction. Today, the use of news websites is increasing. Online readers usually have to click on abstracts or headlines in order to see full articles. This kind of selection of information is less pleasant than in traditional newspapers where glancing over the whole layout of double pages is possible. Personalization is a possible solution for this article selection problem. So far, most types of personalization are controlled by website owners. In our work, we discuss design aspects and empirical results of our personal recommendation system for news websites, which uses text classification techniques.

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