In the context of recommendation systems, metadata information from reviews written for
businesses has rarely been considered in traditional systems developed using content …

In the recommender systems field, it is increasingly recognized that focusing on accuracy
measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed …

This study uses a longitudinal dataset extracted from a mobile news application and adopts
a multilevel design to examine the evolution of diversity of individuals' news consumption …

Recommender systems (RS) are increasingly leveraging the power of graphs to enhance
accuracy. However, we stipulate that existing methods don't take into consideration the …

The delivery of personalized news content depends on the ability to predict user interests.
We evaluated different methods for acquiring user profiles based on declared and actual …

Bias, whether real or perceived by the user, is inherent in news media. In this paper, we
demonstrate that user characteristics, the design and common technical features of news …

On the web, a huge variety of text collections contain knowledge in different expertise
domains, such as technology or medicine. The texts are written for different uses and thus for …

News consumption has been evolving from offline newspapers to online news. However,
while offline newspapers sales are decreasing, online news business models have never …

The sensationalised and harmful content of media reporting of suicide is a modifiable risk
factor for suicide and suicidal behaviour. Although the World Health Organization (WHO) …

News consumption is evolving from offline newspapers to online news. Nevertheless, no
profitable business model exists for online news, and publishers are still reporting drops in …