This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

In the literature, various collaborative filtering approaches have been developed to perform
an efficient recommendation on top of reducing the search cost of the customers. The …

E-business leverages digital channels to scale its functions and services and operates by
connecting and retaining customers using marketing initiatives. To increase the likelihood of …

Interactive technology is rapidly transforming the modern e-tail landscape by applying reality-
enhancing technologies, ie, augmented reality, virtual reality, and mixed reality-led sensory …

Electronic commerce or e-commerce includes the service and good exchange through
electronic support like the Internet. It plays a crucial role in today's business and users' …

Resumen Los Sistemas de Recomendación (SR) son técnicas de filtrado de información
que nacen con el objetivo de facilitar o asistir al usuario en la toma de una decisión. El …

As a type of internet and business intelligence technology, recommender systems have
been widely adopted by store brands to improve brand competition and to affect consumers' …

The advancement in digital technologies has led to an explosive information phenomenon,
particularly in Internet shopping. This paper attempts to examine the trust element in the …

Transformer-based sequential recommendation (SR) has been booming in recent years,
with the self-attention mechanism as its key component. Self-attention has been widely …