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The Value of Data, Machine Learning, and Deep Learning in Restaurant Demand Forecasting: Insights and Lessons Learned from a Large Restaurant Chain
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The 43 checked references that resolve
resolves10.1007/s10844-022-00713-9
A case study comparing machine learning with statistical methods for time series forecasting: size matters
resolves10.1016/j.dss.2013.10.012
The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective
resolves10.1609/aaai.v37i6.25854
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
resolves10.1016/j.dss.2023.113959
Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction
resolves10.1016/0278-4319(92)90006-H
A comparison of time series and econometric models for forecasting restaurant sales
resolves10.1016/j.ijhm.2020.102830
A data-driven approach to measure restaurant performance by combining online reviews with historical sales data
resolves10.1080/19368623.2020.1788231
Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda
resolves10.1016/j.ijpe.2014.04.018
Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications
resolves10.1177/1096348020936331
Restaurant Employee Service Sabotage and Customer Deviant Behaviors: The Moderating Role of Corporate Reputation
resolves10.1016/j.ijhm.2020.102643
Exploring the underlying factors of customer value in restaurants: A machine learning approach
resolves10.1080/19368623.2011.611752
Exploring the Impacts of Key Economic Indicators and Economic Recessions in the Restaurant Industry
resolves10.1108/IJCHM-06-2020-0587
Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making
resolves10.1016/j.ijhm.2022.103333
Boycotting Asian restaurants: The effect of mortality salience, contagion name, and media exposure on boycotting
resolves10.1016/j.ijforecast.2021.03.012
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
resolves10.1016/j.ijhm.2018.01.018
An investigation of consumers’ perception of food safety in the restaurants
resolves10.1177/109634809301600209
Foodservice Forecasting: Differences in Selection of Simple Mathematical Models Based on Short- Term and Long-Term Data Sets
resolves10.1016/j.ijhm.2022.103199
How does COVID-19 differ from previous crises? A comparative study of health-related crisis research in the tourism and hospitality context
resolves10.1108/IJCHM-09-2021-1109
Will catering employees’ job dissatisfaction lead to brand sabotage behavior? A study based on conservation of resources and complexity theories
resolves10.1016/j.ijforecast.2019.07.001
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
resolves10.1016/j.econlet.2022.110380
Restaurant closures during the COVID-19 pandemic: A descriptive analysis
resolves10.1016/j.ijhm.2022.103176
Hospitality and tourism service innovation: A bibliometric review and future research agenda
resolves10.1108/IJCHM-06-2020-0504
COVID-19 and restaurant demand: early effects of the pandemic and stay-at-home orders
resolves10.1287/mnsc.2022.4359
Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp
resolves10.1016/j.dss.2022.113800
Towards risk-aware artificial intelligence and machine learning systems: An overview
The 27 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checkedref4
no DOI — not checkedWhich product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression
no DOI — not checkedref15
no DOI — not checkedService innovation in the restaurant sector during COVID-19: digital technologies to reduce customers' risk perception
no DOI — not checkedGreedy function approximation: a gradient boosting machine
no DOI — not checkedLightgbm: A highly efficient gradient boosting decision tree
no DOI — not checkedRestaurant sales and customer demand forecasting: Literature survey and categorization of methods
no DOI — not checkedref34
no DOI — not checkedA unified approach to interpreting model predictions
no DOI — not checkedComparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic
no DOI — not checkedref40
no DOI — not checkedNew algorithms for automatic modelling and forecasting of decision support systems
no DOI — not checkedScikit-learn: Machine learning in Python
no DOI — not checkedForecasting: theory and practice
no DOI — not checkedref49
no DOI — not checkedA Supply Chain View of the Reslient Enterprise
no DOI — not checkedref57
no DOI — not checkedref58
no DOI — not checkedAttention is all you need
no DOI — not checkedref61
no DOI — not checkedref62
no DOI — not checkedBayesian non-parametric method for decision support: Forecasting online product sales
no DOI — not checkedref64
no DOI — not checkedEfficient fraud detection using deep boosting decision trees
no DOI — not checkedSupply chain management six sigma: a management innovation methodology at the Samsung Group, Supply Chain Management
no DOI — not checkedref70
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