Big data of different types, such as texts and images, are rapidly generated from the internet
and other applications. Dealing with this data using traditional methods is not practical since …

Purpose This study aims to address the global food waste problem in restaurants by
analyzing customer sales information provided by restaurant tickets to gain valuable insights …

Purpose With the growing popularity of social media, it has become common practice for
consumers to write online reviews to share their opinion and experience as well as consider …

The study uses the Internet of Things (IoT) and machine learning (ML) to analyse how a
hotel industry is changing. This study investigates how machine learning (ML) algorithms …

Revisit intention is a key indicator of business performance, studied in many fields including
hospitality. This work employs big data analytics to investigate revisit intention patterns from …

User-generated content on social media has led to a new form of communication known as
electronic word of mouth, which generates millions of comments about goods and services …

Although user-generated content is reported to improve Airbnb host's sales, the impact of
Marketer-Generated Content (MGC) on the minimum sales generated from the reviewers …

Achieving accurate pricing is critical for both peer‐to‐peer (P2P) accommodation platforms
and hosts. An understanding of the determinants of prices on P2P platforms, such as Airbnb …

With the emergence of the Web 2.0, it is possible with user-generated content (UGC) in
social media to express opinions about a customer experience related to a service or …

This paper deals with the analysis of data retrieved from a web page for booking
accommodation. The main idea of the research is to analyze the relationship between …