Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …

Next-location prediction is a special task of the next POIs recommendation. Different from
general recommendation tasks, next-location prediction is highly context-dependent:(1) …

Convolutional neural networks (CNNs) utilize local translation invariance in the Euclidean
domain and have remarkable achievements in computer vision tasks. However, there are …

In recent years, there has been a growing interest in develo** next point-of-interest (POI)
recommendation systems in both industry and academia. However, current POI …

Graph convolutions, in both their linear and neural network forms, have reached state-of-the-
art accuracy on recommender system (RecSys) benchmarks. However, recommendation …

Edge intelligence has arisen as a promising computing paradigm for supporting
miscellaneous smart applications that rely on machine learning techniques. While the …

The main objective of Personalized Tour Recommendation (PTR) is to generate a sequence
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …

Today, millions of active users spend a percentage of their time on location‐based social
networks like Yelp and Gowalla and share their rich information. They can easily learn about …

In the era of big data, information overload poses a challenge, complicating user decision-
making. Recommender systems aim to assist in this process. In recent years, research on …

With the rapid development of mobile technology, it is very convenient to share people's
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …