Research and education in machine learning requires diverse, representative, and open
datasets that contain sufficient samples to handle the necessary training, validation, and …

E-commerce recommendation systems usually deal with massive customer sequential
databases, such as historical purchase or click stream sequences. Recommendation …

In the era of artificial intelligence and high technology advance our life is dependent on them
in every aspect. The dynamic environment forces us to plan our time with conscious and …

The personalized experience gets more and more attention these days. Many e-commerce
businesses are looking for methods to deliver personalized service. Consumers are …

Recommender system is an adaptive technology and tool that is used in business
organizations for offering the products and services by observing their interest and …

The condition of road surface has a significant role in land transportation. Due to poor road
conditions, the logistics and supply chain industry face a drastic loss in their business …

In e-commerce industry, graph neural network (GNN) methods are the new trends for
transaction risk modeling. The power of graph algorithms lie in the capability to catch …

With the rapid development of e‐commerce and computer technology, the recommendation
service in business activities has no longer implemented by people, but by software …

In this paper, Pearson's correlation coefficient is employed for collaborative filtering due to its
ability to manipulate numerical data as well as determine linear relationship among existing …

With the recent rise of excessive use of social media and its damaging effects, there is an
urgent need to systematically recognize how users behave towards the “Like” button, which …