More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …

ABSTRACT In October 2016 the New York Times announced new content personalisation
features for its websites and mobile apps, with the promise of “much more to come”. This …

Sports news are a special case in the field of news recommendations as readers often come
with a strong emotional attachment to selected sports, teams or players. Furthermore, the …

Scholars are increasingly studying how news recommenders can provide audiences with
diverse news offers. However, despite their increased interest, little research has been …

Due to researchers' aim to study personalized recommendations for different business fields,
the summary of recommendation methods in specific fields is of practical significance. News …

This chapter shows how algorithms affect journalistic practices and which implications can
be drawn from that for audience trust in media. Algorithms, as encountered in e-shopping or …

Consumer behavior is one of the most important issues that has been discussed in recent
decades. Organizations always want to understand how consumer make decisions so that …

PubMed is one of the largest public databases on biological and medical sciences, it
contains more than 30 million biomedical articles cited from several resources such as …

In today's digital world, it has become a tiresome task to find the content of one's liking in an
endless variety of content that is being generated and disseminated online like books …

Recommender system is an encouraging technology for enterprises to present personalized
suggestions to their customers. But this technology suffers from sparsity problem. In addition …