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 …

Personalized news recommendation is important for users to find interesting news
information and alleviate information overload. Although it has been extensively studied …

Recommender Systems (RS) have proven to be effective tools to help users overcome
information overload, and significant advances have been made in the field over the past …

Recommender systems help users deal with information overload by providing tailored item
suggestions to them. The recommendation of news is often considered to be challenging …

News recommendation for anonymous readers is a useful but challenging task for many
news portals, where interactions between readers and articles are limited within a temporary …

News recommender systems are aimed to personalize users experiences and help them to
discover relevant articles from a large and dynamic search space. Therefore, news domain …

Personalized news recommendation aims to recommend news articles to customers, by
exploiting the personal preferences and short-term reading interest of users. A practical …

The use of algorithmically tailored individual news feeds is increasingly viewed as an
important strategy for accommodating consumers' information needs by legacy media …

With the ever-growing amount of news, there is an increasing need for tools capable of
filtering out and tailoring the content to the wants and needs of the reader. Over the last …

The article contributes both conceptually and methodologically to the study of online news
consumption by introducing new approaches to measuring user information behaviour and …