Most existing recommendation methods assume that all the items are provided by separate
producers rather than users. However, it could be inappropriate in some recommendation …

A product image recommendation algorithm with transformer model using deep
reinforcement learning is proposed. First, the product image recommendation architecture is …

Recently, the e-learners are drastically increased from the last two decades. Everything is
learnt through internet without help of the tutor as well. For this purpose, the e-learners are …

The increasing prevalence of song skipping in music streaming applications negatively
impacts user satisfaction and subscription retention. Dissatisfaction often arises when users …

Members of cooperative groups can work together more effectively if they develop a shared
language, but distributed groups face barriers to doing so. To better understand how shared …

This research analyses the effect of numerous factors that allow E-commerce platforms to
obtain previous knowledge about customer purchase tendencies. This research improves …

Minat berwiarusaha didorong dengan adanya penggunaan e-commerce, ekspektasi
terhadap laba yang akan diterima dalam berwirausaha, dan didasari dengan pemahaman …

In order to improve the accuracy of e-commerce platform recommendations for users and
shorten the recommendation time, this study conducted a personalised recommendation …

La presente investigación tiene como finalidad conocer como el uso del comercio
electrónico influye en la productividad comercial de SINERGIA Desarrollo Profesional SRL …

Purpose: The aim of the present study is to reconcile the dual embodiment of ontology and
folksonomy and establish a symbiotic relationship between the two technologies for the …