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ArticleDemand forecasting model using hotel clustering findings for hospitality industry

Kıymet Kaya2021

Article2021

Demand forecasting model using hotel clustering findings for hospitality industry

Kıymet Kaya · Yaren Yılmaz · Yusuf Yaslan · Şule Gündüz Öğüdücü · Furkan Çıngı

55 citations·0/0 files stored·Information Processing & Management

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

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References

2016A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism 2011Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content 2015Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting 2019Tourism demand forecasting: A deep learning approach 2020Using social media to assess nature-based tourism: Current research and future trends 2020Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach 2018Customized Regression Model for Airbnb Dynamic Pricing

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Year2021

Typearticle

Published2021-11-17

VenueInformation Processing & Management

ISSN-L0020-0271

Languageen

Citations55

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ipm.2021.102816

openalex_workW3213148503

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