The Voice of Major E-Tourism Players: An Expedia Group Perspective
Jan Krasnodebski ()
Additional contact information
Jan Krasnodebski: Expedia Group
Chapter 57 in Handbook of e-Tourism, 2022, pp 1391-1416 from Springer
Abstract:
Abstract This chapter outlines the approach of Expedia Group, the world’s travel platform, and the role of technology in revolutionizing travel search, discovery, and booking. It covers innovations developed by online travel agencies (OTAs) and the unique challenges and opportunities provided by the breadth and depth of the data that global OTAs leverage to power travelers’ online experiences. The focus is on accommodation, the largest revenue-generating, and most complex tourism segment. The chapter explores specific use cases where data are brought together with leading and innovative machine learning methodologies to improve traveler and supplier experiences. They include recommender systems, machine learning models that help Expedia Group manage the text and image content for over a million properties and revenue management systems for accommodation providers. The chapter concludes with a comment on the Expedia Group COVID-19 response.
Keywords: OTA (Online Travel Agency); Machine learning; Predictive algorithms; Recommender systems; Revenue management; Data science; Business impact; E-commerce (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-48652-5_85
Ordering information: This item can be ordered from
http://www.springer.com/9783030486525
DOI: 10.1007/978-3-030-48652-5_85
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().