Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …

Over the past two decades, a large amount of research effort has been devoted to
develo** algorithms that generate recommendations. The resulting research progress has …

With the prevalence of social media, there has recently been a proliferation of
recommenders that shift their focus from individual modeling to group recommendation …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Due to the prevalence of group activities in people's daily life, recommending content to a
group of users becomes an important task in many information systems. A fundamental …

Group recommendation aims to recommend items to a group of users. In this work, we study
group recommendation in a particular scenario, namely occasional group recommendation …

The majority of recommender systems are designed to make recommendations for
individual users. However, in some circumstances the items to be selected are not intended …

Recently, food recommender systems have received increasing attention due to their
relevance for healthy living. Most existing studies on the food domain focus on …

Recommender systems are increasingly used in various domains like movies, travel, music,
etc. The rise in social activities has increased the usage of recommender systems in general …

Recommender systems have become a fundamental means for providing personalized
guidance to users in their searches for interesting or useful objects such as movies, songs …