In this study, we consider the purchase prediction problem in the context of e-tourism, an
emerging and prevailing application in e-commerce. Although a wide array of studies have …

Online tourism has received increasing attention from scholars and practitioners due to its
growing contribution to the economy. While related issues have been studied, research on …

The recent outburst of online shopping, commonly known as e-shopping, has added a new
dimension in the business sector. In these days, people tend to explore online for finding the …

With e-commerce emerging as a prominent mode of purchasing, there is a pressing need for
businesses across the globe to understand online consumer purchase behavior and, in …

Online sales have been growing rapidly in recent years. With the growing competition,
online retailers have been keen to increase the effectiveness of their e-commerce platforms …

Predicting customer purchase behavior is an interesting and challenging task. In the e-
commerce context, meeting this challenge requires confronting many problems not …

Historical user activity, such as online shopping recommendations, content personalization,
and advertising clicking rates, is a critical component of building user profiles to predict …

Online purchase forecasting is of great importance in e-commerce platforms, which is the
basis of how to present personalized interesting product lists to individual customers …

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 …

In the online realm, pricing transparency is crucial in influencing consumer decisions and
driving online purchases. While dynamic pricing is not a novel concept and is widely …