The emergence of consumer-generated data and the growing availability of Machine
Learning (ML) techniques are revolutionizing marketing practices. Marketers and …

We consider the problem faced by a firm that receives highly differentiated products in an
online fashion. The firm needs to price these products to sell them to its customer base …

Price discrimination strategies, which offer different prices to customers based on differences
in their valuations, have become common practice. Although it allows sellers to increase …

We study the effect of Airbnb's smart-pricing algorithm on the racial disparity in the daily
revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb's introduction of the …

Online marketplace designers frequently run randomized experiments to measure the
impact of proposed product changes. However, given that marketplaces are inherently …

Dynamic pricing is considered a possibility to gain an advantage over competitors in modern
online markets. The past advancements in Reinforcement Learning (RL) provided more …

Tourism has become a growing industry day by day with the develo** economic
conditions and the increasing communication and social interaction ability of the people …

The application to search ranking is one of the biggest machine learning success stories at
Airbnb. Much of the initial gains were driven by a gradient boosted decision tree model. The …

Online marketplace designers frequently run A/B tests to measure the impact of proposed
product changes. However, given that marketplaces are inherently connected, total average …

Price determinants of Airbnb listings is still in its infancy and Asian markets are
underexplored. Based on existing literature, this article examines the impacts of five groups …