Booker Prediction From Requests For Quotation Via Machine Learning Techniques

Booker Prediction From Requests For Quotation Via Machine Learning Techniques

Purpose – Many incoming requests for quotation usually compete for the attention of accommodation service provider staff on a daily basis, while some of them might deserve more priority than others. Design – This research is therefore based on the correspondence history of a large booking manage...

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Bibliographic Details
Main Authors: Samuel Runggaldier, Gabriele Sottocornola, Andrea Janes, Fabio Stella, Markus Zanker
Format: Article
Language:English
Published: Faculty of tourism and hospitality management 2023-01-01
Series:Tourism and Hospitality Management
Subjects:
booking prediction
request for quotation
machine learning
class imbalance problem
feature importance analysis
Online Access:https://thm.fthm.hr/images/issues/vol2no1/3_Runggaldier_Sottocornola_Janes_Stella_Zanker

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