Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The evolving role of artificial intelligence in marketing: A review and research agenda
An increasing amount of research on Intelligent Systems/Artificial Intelligence (AI) in
marketing has shown that AI is capable of mimicking humans and performing activities in an …
marketing has shown that AI is capable of mimicking humans and performing activities in an …
A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …
understanding of how the methods of tourism demand forecasting have evolved over time …
The impact of COVID-19 on tourism sector in India
ABSTRACT The novel coronavirus (COVID-19), which is one of its kind of humanitarian
disasters, has affected people and businesses worldwide, triggering a global economic …
disasters, has affected people and businesses worldwide, triggering a global economic …
Forecasting tourist arrivals with machine learning and internet search index
S Sun, Y Wei, KL Tsui, S Wang - Tourism Management, 2019 - Elsevier
Previous studies have shown that online data, such as search engine queries, is a new
source of data that can be used to forecast tourism demand. In this study, we propose a …
source of data that can be used to forecast tourism demand. In this study, we propose a …
Artificial intelligence and big data in tourism: a systematic literature review
Artificial intelligence and big data in tourism: a systematic literature review | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
Modern-day marketing concepts based on face recognition and neuro-marketing: a review and future research directions
Purpose Data-driven marketing is replacing conventional marketing strategies. The modern
marketing strategy is based on insights derived from customer behavior information …
marketing strategy is based on insights derived from customer behavior information …
Bayesian BILSTM approach for tourism demand forecasting
A Kulshrestha, V Krishnaswamy, M Sharma - Annals of tourism research, 2020 - Elsevier
The tourism sector, with its perishable nature of products, requires precise estimation of
demand. To this effect, we propose a deep learning methodology, namely Bayesian …
demand. To this effect, we propose a deep learning methodology, namely Bayesian …
New developments in tourism and hotel demand modeling and forecasting
Purpose The purpose of this paper is to review recent studies published from 2007 to 2015
on tourism and hotel demand modeling and forecasting with a view to identifying the …
on tourism and hotel demand modeling and forecasting with a view to identifying the …
Tourism demand forecasting with time series imaging: A deep learning model
To leverage computer vision technology to improve the accuracy of tourism demand
forecasting, a model based on deep learning with time series imaging is proposed. The …
forecasting, a model based on deep learning with time series imaging is proposed. The …
Tourism forecasting: A review of methodological developments over the last decade
This study reviewed 72 studies in tourism demand forecasting during the period from 2008
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …