Blockchain constructs a distributed point‐to‐point system, which is a secure and verifiable
mechanism for decentralized transaction validation and is widely used in financial economy …

Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …

Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …

Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a
wide range of domains and applications. Dictionary learning (DL) models, which are highly …

Beyond conventional recommendation systems that rely merely on user-item interaction
data, multimodal recommendation systems additionally exploit the item multimodal data for …

Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …

The main idea of multimodal recommendation is the rational utilization of the item's
multimodal information to improve the recommendation performance. Previous works …

The presence of user-generated ratings has dramatically facilitated the development of
recommendation systems to aid users in discovering relevant and personalized points of …

Heterogeneous graph refers to a type of graph data characterized by its diverse node types
and relation types, containing rich structures, features and heterogeneous information. How …

Multi-source data fusion is essential for building smart cities by providing a comprehensive
and holistic understanding of urban environments. Specifically, smart city-oriented …