onr:"swepub:oai:DiVA.org:liu-177466"
Search: onr:"swepub:oai:DiVA.org:liu-177466" > Airline ticket pric...
- 1 of 1
- Previous record
- Next record
- To hitlist
Airline ticket price and demand prediction : A survey
-
- Abdella, Juhar Ahmed (author)
- UAEU, U Arab Emirates
-
- Zaki, N. M. (author)
- UAEU, U Arab Emirates
-
- Shuaib, Khaled (author)
- UAEU, U Arab Emirates
- show more...
- show less...
- (creator_code:org_t)
- Elsevier, 2021
- 2021
- English.
- In: Journal of King Saud University - Computer and Information Sciences. - : Elsevier. - 1319-1578. ; 33:4, s. 375-391
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Nowadays, airline ticket prices can vary dynamically and significantly for the same flight, even for nearby seats within the same cabin. Customers are seeking to get the lowest price while airlines are trying to keep their overall revenue as high as possible and maximize their profit. Airlines use various kinds of computational techniques to increase their revenue such as demand prediction and price discrimination. From the customer side, two kinds of models are proposed by different researchers to save money for customers: models that predict the optimal time to buy a ticket and models that predict the minimum ticket price. In this paper, we present a review of customer side and airlines side prediction models. Our review analysis shows that models on both sides rely on limited set of features such as historical ticket price data, ticket purchase date and departure date. Features extracted from external factors such as social media data and search engine query are not considered. Therefore, we introduce and discuss the concept of using social media data for ticket/demand prediction. (c) 2019 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Keyword
- Survey; Ticket price prediction; Demand prediction; Price discrimination; Social media; Deep learning line
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Journal of King Saud University - Computer and Information Sciences (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Abdella, Juhar A ...
- Zaki, N. M.
- Shuaib, Khaled
- Khan, Fahad
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Civil Engineerin ...
- and Transport System ...
- Articles in the publication
- Journal of King ...
- By the university
- Linköping University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
