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Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
A Alsayat - Neural Computing and Applications, 2023 - Springer
Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …
and rich knowledge to detect customers' behavioral patterns. Revealing customer …
[CARTE][B] Hospitality and travel marketing
AM Morrison - 2022 - taylorfrancis.com
Fully revised and updated for its fifth edition, Hospitality and Travel Marketing provides
students with an international and systematic approach to hospitality and travel marketing …
students with an international and systematic approach to hospitality and travel marketing …
Beyond image attributes: A new approach to destination positioning based on sensory preference
X Lv, C Zhang, C Li - Tourism Management, 2024 - Elsevier
This research expands destination positioning theories by introducing a new perspective on
destination positioning, namely sensory experience. This can be used to distinguish …
destination positioning, namely sensory experience. This can be used to distinguish …
Application of machine learning to cluster hotel booking curves for hotel demand forecasting
Accurate demand forecasting is integral for data-driven revenue management decisions of
hotels, but an unprecedented demand environment caused by COVID-19 pandemic has …
hotels, but an unprecedented demand environment caused by COVID-19 pandemic has …
Understanding Vanlife: the current state of the art of a vehicle-based hypermobile travel phenomenon
This article outlines the current state of the art on Vanlife from a tourism perspective,
highlighting and summarizing definitions derived from literature. Hypermobile lifestyles …
highlighting and summarizing definitions derived from literature. Hypermobile lifestyles …
Evolution of multiorgan segmentation techniques from traditional to deep learning in abdominal CT images–A systematic review
H Kaur, N Kaur, N Neeru - Displays, 2022 - Elsevier
Abdominal organ segmentation is the crucial research direction in computer assisted
diagnostic systems. Segmentation of multiple organs in medical images is known as …
diagnostic systems. Segmentation of multiple organs in medical images is known as …
[CARTE][B] Structural equation modelling with partial least squares using Stata and R
M Mehmetoglu, S Venturini - 2021 - taylorfrancis.com
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular
statistical framework in many fields and disciplines of the social sciences. The main reason …
statistical framework in many fields and disciplines of the social sciences. The main reason …
Market segmentation for e-tourism
S Dolnicar - Handbook of e-Tourism, 2022 - Springer
Market segmentation is a well-established and commonly used concept in tourism.
Businesses and destinations benefit from a segmentation strategy because it allows them to …
Businesses and destinations benefit from a segmentation strategy because it allows them to …
[HTML][HTML] Waste production patterns in hotels and restaurants: An intra-sectoral segmentation approach
Tourism produces> 35 m tons of solid waste annually. For waste reduction efforts to be
effective, empirical baseline measures of waste production and waste production patterns …
effective, empirical baseline measures of waste production and waste production patterns …
Understanding post-pandemic market segmentation through perceived risk, behavioural intention, and emotional wellbeing of consumers
The COVID-19 pandemic has altered consumer behaviour, leading to varying levels of
perceived risk for different products and services. Companies must reassess their market …
perceived risk for different products and services. Companies must reassess their market …