In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

In recent years, the boundaries between e-commerce and social networking have become
increasingly blurred. Many e-commerce Web sites support the mechanism of social login …

This study draws on the Gender Schema Theory, Technology Acceptance Model (TAM),
Uses and Gratifications Theory (U&G), and Social Cognitive Theory (SCT) to explore how …

Recommender systems have been used in e-commerce to increase conversion due to
matching product offer and consumer preferences. Cold-start is the situation of a new user …

On June 23rd 2016, UK held the referendum which ratified the exit from the EU. While most
of the traditional pollsters failed to forecast the final vote, there were online systems that hit …

The ecommerce and the social media is connected together where the products
advertisements can be given by the ecommerce website which can be viewed by the social …

Purchase prediction is a key function in the e‐commerce recommendation system. Existing
works usually focus on item‐level purchase prediction, which faces two issues of high cost …

Recommender systems can help provide preference-based personalized services to
consumers and help them make informed decisions. However, a key shortcoming of the …

Recommender systems have been widely applied to e-commerce to help customers find
products to purchase. Cold-start is characterized by the incapability of recommending due to …

In response to its rapid territorial gains in Syria and Iraq and due to its brutality and human
rights abuses, on September 10, 2014, Barack Obama, then President of the United States …