The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …

Personalized news recommendation methods are widely used in online news services.
These methods usually recommend news based on the matching between news content …

Predicting news clicks or popularity is of great importance to news providers and
recommender systems. Attractiveness and timeliness of news are two prominent drivers of …

What makes written text appealing? In this registered report protocol, we propose to study
the linguistic characteristics of news headline success using a large-scale dataset of field …

Predicting the popularity of web contents in online social networks is essential for many
applications. However, existing works are usually under non-incremental settings. In other …

Objective: Ranking in many areas has been a big problem for a long time. The authors tried
to use a novel ranking approach to find out the most popular research interest among all the …

CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social
network (OSN) applications. However, it is inefficient when dealing with massive and …

Predicting information cascade plays a crucial role in various applications such as
advertising campaigns, emergency management and infodemic controlling. However …

To improve consumer engagement and satisfaction, online news services employ strategies
for personalizing and recommending articles to their users based on their interests. In …

The internet is increasingly becoming the primary source of news worldwide. Social
networking sites have further enabled instantaneous spread of such articles by often …