Big Data Analytics and Forecasting in Hospitality and Tourism
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Bradford, West Yorkshire :
Emerald Publishing Limited,
2021.
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Series: | International Journal of Contemporary Hospitality Management Ser.
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Subjects: | |
Online Access: | Texto completo |
Table of Contents:
- Cover
- Guest editorial
- Tourism demand nowcasting using a LASSO-MIDAS model
- Forecasting daily attraction demand using big data from search engines and social media
- High-frequency forecasting from mobile devices' bigdata: an application to tourism destinations' crowdedness
- A segmented machine learning modeling approach of social media for predicting occupancy
- Which search queries are more powerful in tourism demand forecasting: searches via mobile device or PC?
- Timing matters: crisis severity and occupancy rate forecasts in social unrest periods
- Are environmental-related online reviews more helpful? A big data analytics approach
- Listening to your employees: analyzing opinions from online reviews of hotel companies
- Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making
- Asymmetric relationship between customer sentiment and online hotel ratings: the moderating effects of review characteristics
- Toward travel pattern aware tourism region planning: a big data approach
- Extracting revisit intentions from social media big data: a rule-based classification model
- Spatial-temporal evolution patterns of hotels in China:1978-2018
- Destination image through social media analytics and survey method
- Do the flipped impacts of hotels matter to the popularity of Airbnb?
- The decision tree for longer-stay hotel guest: the relationship between hotel booking determinants and geographical distance
- Using social media photos as a proxy to estimate the recreational value of (im)movable heritage: the Rubjerg Knude(Denmark) lighthouse