The metaverse has the potential to extend the physical world using augmented and virtual
reality technologies allowing users to seamlessly interact within real and simulated …

The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …

Group recommendation has attracted researchers' attention in various domains, specifically
such approaches utilizing location-based social networks (LBSNs). However, point of …

Point of interest (POI) group recommender systems (GRSs) aim to suggest places for a
group of users. Compared to recommender systems for individual users, GPRs are more …

The aggregation of group members' profiles is an extremely important step in group
recommender systems, as it represents the whole group as a single virtual user, and is the …

Integrating useful input information is essential to provide efficient recommendations to
users. In this work, we focus on improving items ratings prediction by merging both multiple …

In point‐of‐interest (POI) group recommender systems, suggesting the most suitable visit
places for a heterogeneous group in which members are far from each other would be …

Ephemeral group recommendation (EGR) aims to suggest items for a group of users who
come together for the first time. Existing work typically consider individual preferences as the …

With the prevalence of Internet of Things (IoT)-based social media applications, the distance
among people has been greatly shortened. As a result, recommender systems in IoT-based …

Ephemerality should be a significant concept for the information systems (IS) discipline but
has not been developed as such. On the one hand, ephemerality is considered a …