Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …

Purpose This study explores privacy challenges in recommender systems (RSs) and how
they have leveraged privacy-preserving technology for risk mitigation. The study also …

In recent decades, the improvement of computer technology has increased the growth of
high-dimensional microarray data. Thus, data mining methods for DNA microarray data …

The advancement in internet technology has enabled the use of increasingly sophisticated
data by recommendation systems to enhance their effectiveness. This data is comprised of …

Food recommendation systems aim to provide recommendations according to a user's diet,
recipes, and preferences. These systems are deemed useful for assisting users in changing …

In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …

In recent years, the use of trust-based recommendation systems to predict the scores of
items not rated by users has attracted many researchers' interest. Accordingly, they create a …

This study proposes a new perspective of the TOPSIS and VIKOR methods using the
recently introduced spherical fuzzy sets (SFSs) to handle the vagueness in subjective data …

This study deals with solving the Internet of Things (IoT) Service Placement Problem (SPP)
in fog computing environment using metaheuristic approaches. Basically, SPP is a non …

Lung malignancy represents a group of diseases that affect people worldwide. According to
the reports, 1.69 million people died in 2015. Presymptomatic work raises patient ability and …