Customer purchase prediction is increasingly recognized as a crucial marketing strategy in
B2C e-business, promising enhanced business profitability and customer satisfaction …

Purchase prediction has an important role for decision-makers in e-commerce to improve
consumer experience, provide personalised recommendations and increase revenue. Many …

Real-time customer purchase prediction tries to predict which products a customer will buy
next. Depending on the approach used, this involves using data such as the customer's past …

Abstract Recently, Deep Neural Networks (DNNs) have proved their capability to model
nonlinear relationships between users and items in recommender systems. Therefore, many …

Recently, the recommender system has been raised as one of the essential research topics
in smart tourism. The massive card transaction data generated in the tourism industry has …

Wikidata is an open knowledge graph built by a global community of volunteers. As it
advances in scale, it faces substantial challenges around editor engagement. These …

Introduction Safety is the lifeline of tourism development. The article's goal is to examin how
Chinese tourists perceive risk when travelling aboard. Methods In order to create the initial …

COVID-19 health crisis highlights the fragility of European industrial strategies and leads us
to develop more agile, distributed, and resilient production models at a territorial level. There …

The covid-19 has strongly hit the tourism industry, leading to downturn in tourism stock
market. The bearish events in tourism industry can evoke public panic about future stock …

This paper introduces a new method for the session construction problem, which is the first
main step of the Web usage mining process. The proposed method defines user sessions as …