Digital retailers are experiencing an increasing number of transactions coming from their
consumers online, a consequence of the convenience in buying goods via E-commerce …

Abstract Machine learning (ML) has the potential to take on a variety of routine and non-
routine tasks in brick-and-mortar retail and e-commerce. Many tasks previously executed …

Mandatory sponsorship disclosure has reduced the value of influencer campaigns, as
consumers are astutely aware of their promotional nature. At the same time, influencers are …

This work investigates the Supply chain evolution over diverse industries and forecasts a
telecom churn using a publicly available dataset, besides offering a thorough technique for …

Faceted search has become a common feature on most search interfaces in e-commerce
websites, digital libraries, government's open information portals, and so on. Beyond the …

With technology increasingly taking over our lives, people have gained the need for
meaningful experiences. Especially with the possibility of ordering almost any product you …

In this study, user data of an e-commerce site operating in Turkey is examined. Users are
those who have visited the site before, that is, they are in the remarketing audience pool …

Electronic commerce involves data-rich business models that offer many application areas
for machine learning. In electronic commerce, retailers aim to optimize the product listing on …

Due to today's transition from visiting physical stores to online shopping, predicting customer
behavior in the context of e-commerce is gaining importance. It can in-crease customer …

Machine learning (ML) has the potential to take on a variety of routine and non-routine tasks
in brick-andmortar and e-commerce. Many tasks previously executed manually are …