國立高雄大學圖資館 |

登入

回首頁 到查詢結果 [ author_sort:"vinod, ben." ]

Artificial intelligence and machine learning in the travel industrysimplifying complex decision making /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and machine learning in the travel industryedited by Ben Vinod.
其他題名:	simplifying complex decision making /
其他作者:	Vinod, Ben.
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	1 online resource (vi, 182 p.) :ill., digital ;24 cm.
附註:	'Previously published in Revenue and Pricing Management Special Issue "Artificial Intelligence and Machine Learning in the Travel Industry" Volume 20, Issue 3, March 2021.'
Contained By:	Springer Nature eBook
標題:	TourismTechnological innovations.
電子資源:	https://doi.org/10.1007/978-3-031-25456-7
ISBN:	9783031254567$q(electronic bk.)

Artificial intelligence and machine learning in the travel industrysimplifying complex decision making /
Artificial intelligence and machine learning in the travel industrysimplifying complex decision making /[electronic resource] :edited by Ben Vinod. - Cham :Springer Nature Switzerland :2023. - 1 online resource (vi, 182 p.) :ill., digital ;24 cm.

'Previously published in Revenue and Pricing Management Special Issue "Artificial Intelligence and Machine Learning in the Travel Industry" Volume 20, Issue 3, March 2021.'

1. Special issue on artificial intelligence/machine learning in travel -- 2. Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices -- 3. An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand -- 4. Decoupling the individual effects of multiple marketing channels with state space models -- 5. Competitive revenue management models with loyal and fully flexible customers -- 6. Demand estimation from sales transaction data: practical extensions -- 7. How recommender systems can transform airline offer construction and retailing -- 8. A note on the advantage of context in Thompson sampling -- 9. Shelf placement optimization for air products -- 10. Applying reinforcement learning to estimating apartment reference rents -- 11. Machine learning approach to market behavior estimation with applications in revenue management -- 12. Multi-layered market forecast framework for hotel revenue management by continuously learning market dynamics -- 13. Artificial Intelligence in travel -- 14. The key to leveraging AI at scale -- 15. The future of AI is the market.

Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice. Ben Vinod is a co-founder of Charter and Go, a dynamic offer, order management, and dispatch solution for air charter operators. He served as vice president of pricing, yield management, and reservations inventory control at American Airlines Decision Technologies (1993-1999) and was senior vice president and chief scientist at Sabre (2008-2020), focused on innovation and thought leadership in pioneering advanced solutions across the travel value chain for travel suppliers and intermediaries. He has published over 50 articles in academic and trade journals, is a member of AGIFORS, and serves on the editorial board of the Journal of Revenue and Pricing Management.

ISBN: 9783031254567$q(electronic bk.)

Standard No.: 10.1007/978-3-031-25456-7doiSubjects--Topical Terms:

691289
Tourism
--Technological innovations.

LC Class. No.: G156.5.I5

Dewey Class. No.: 338.4791028563

Artificial intelligence and machine learning in the travel industrysimplifying complex decision making /
LDR:03906nmm a2200337 a 4500 001 637505
003 DE-He213
005 20230526074218.0
006 m d
007 cr nn 008maaau
008 230921s2023 sz s 0 eng d
020 $a 9783031254567$q(electronic bk.)
020 $a 9783031254550$q(paper)
024 7 $a 10.1007/978-3-031-25456-7 $2 doi
035 $a 978-3-031-25456-7
040 $a GP $c GP
041 0 $a eng
050 4 $a G156.5.I5
072 7 $a KJD $2 bicssc
072 7 $a BUS042000 $2 bisacsh
072 7 $a KJD $2 thema
082 0 4 $a 338.4791028563 $2 23
090 $a G156.5.I5 $b A791 2023
245 0 0 $a Artificial intelligence and machine learning in the travel industry $h [electronic resource] : $b simplifying complex decision making / $c edited by Ben Vinod.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Palgrave Macmillan, $c 2023.
300 $a 1 online resource (vi, 182 p.) : $b ill., digital ; $c 24 cm.
500 $a 'Previously published in Revenue and Pricing Management Special Issue "Artificial Intelligence and Machine Learning in the Travel Industry" Volume 20, Issue 3, March 2021.'
505 0 $a 1. Special issue on artificial intelligence/machine learning in travel -- 2. Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices -- 3. An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand -- 4. Decoupling the individual effects of multiple marketing channels with state space models -- 5. Competitive revenue management models with loyal and fully flexible customers -- 6. Demand estimation from sales transaction data: practical extensions -- 7. How recommender systems can transform airline offer construction and retailing -- 8. A note on the advantage of context in Thompson sampling -- 9. Shelf placement optimization for air products -- 10. Applying reinforcement learning to estimating apartment reference rents -- 11. Machine learning approach to market behavior estimation with applications in revenue management -- 12. Multi-layered market forecast framework for hotel revenue management by continuously learning market dynamics -- 13. Artificial Intelligence in travel -- 14. The key to leveraging AI at scale -- 15. The future of AI is the market.
520 $a Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice. Ben Vinod is a co-founder of Charter and Go, a dynamic offer, order management, and dispatch solution for air charter operators. He served as vice president of pricing, yield management, and reservations inventory control at American Airlines Decision Technologies (1993-1999) and was senior vice president and chief scientist at Sabre (2008-2020), focused on innovation and thought leadership in pioneering advanced solutions across the travel value chain for travel suppliers and intermediaries. He has published over 50 articles in academic and trade journals, is a member of AGIFORS, and serves on the editorial board of the Journal of Revenue and Pricing Management.
650 0 $a Tourism $x Technological innovations. $3 691289
650 0 $a Artificial intelligence $x Industrial applications. $3 524554
650 1 4 $a Innovation and Technology Management. $3 913107
650 2 4 $a Tourism Management. $3 681256
700 1 $a Vinod, Ben. $3 892092
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-25456-7
950 $a Business and Management (SpringerNature-41169)