The demand for green energy is expanding, and it seems that hydrogen is the best option
that can be produced and stored in large quantities. Hydrogen is a promising energy carrier …

With the new era of the Internet, we have a large amount of data available in the form of
ratings, reviews, graphs, images, etc. However, still, people face difficulty in finding useful …

The provision of privacy-preserving recommendations for geological tourist attractions is an
important research area. The historical check-in data collected from location-based social …

In view of the poor recommendation performance of traditional resource collaborative
filtering recommendation algorithms, this article proposes a collaborative filtering …

Multilayer networks continue to gain significant attention in many areas of study, particularly
due to their high utility in modeling interdependent systems such as critical infrastructures …

This paper explores and studies recommendation technologies based on content filtering
and user collaborative filtering and proposes a hybrid recommendation algorithm based on …

Opinion Mining on E-Commerce Data Using Sentiment Analysis and K-Medoid Clustering Page
1 Opinion Mining On E-Commerce Data Using Sentiment Analysis And K-Medoid Clustering 1st …

Due to the huge expand in global markets and financial transactions, the importance of E-
commerce has grown significantly, so to achieve fully functioning, scalable, reliable, efficient …

The ever-increasing number of users and items continuously imposes new challenges to
existent clustering-based recommendation algorithms. To better simulate the interactions …

Contemporary datasets are often comprised of multiple views of data, which provide
complete and complementary information in different views, and multi-view clustering is one …