Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …

In collaborative filtering approaches, recommendations are inferred from user data. A large
volume and a high data quality is essential for an accurate and precise recommender …

Data privacy is one of the intriguing problems in e-commerce site. For personal or business
purposes, users have to disclose their private data to these e-commerce sites. Often such …

This work provides a systematic literature review of blockchain-based applications across
multiple domains. The aim is to investigate the current state of blockchain technology and its …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Information overload is a phenomenon of our days due to the unprecedented penetration of
information and communication technologies (ICT) in our daily lives. As a result, people …

Blockchain is a distributed digital ledger technology that has revolutionized businesses,
industries, and commerce by eliminating the need for a central storage and control authority …

One thing that tourists need to plan their tourism activities is a recommendation system. The
tourism destinations recommendation system in this study has three primary nodes, namely …

Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …

Blockchain interoperability is emerging as one of the crucial features of blockchain
technology, but the knowledge necessary for achieving it is fragmented. This fact makes it …