The definition of what makes an article interesting varies from user to user and continually evolves even for a single user. As a result, for news recommendation systems, useless document features can not be determined a priori and all features are usually considered for interestingness classification. Consequently, the presence of currently useless features degrades classification performance ...

Today we live in a globalised world, with no boundaries and where can be updated of any information by the minute. This globalisation phenomenon has lot advantages as well disadvantages. It is wonderful to know news minute, however easiness swiftness real spreads, same goes fake news. Tools, such search engines like Google, Bing, Yandex, etc. social media (i.e., Facebook, Instagram Twitter) or ...

We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research. We evaluated the multi-document summaries generated by Newsblaster, a robust news browsing system that clusters online news articles and summarizes multiple articles on each event. Four groups of subjects were asked ...