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Record Nr. |
UNINA9910818644703321 |
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Titolo |
Big data analytics and forecasting in hospitality and tourism / / guest editors Doris Chenguang Wu, Ji Wu and Haiyan Song |
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Pubbl/distr/stampa |
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[Place of publication not identified] : , : Emerald Publishing Limited, , 2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (389 pages) |
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Collana |
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International Journal of Contemporary Hospitality Management, , 0959-6119 ; ; Volume 33, Number 6 |
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Disciplina |
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Soggetti |
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Tourism - Management |
Tourism - Marketing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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? |
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