Search Demand Forecasting
Search Demand Forecasting is a predictive analytics method that estimates future user search query volumes by analyzing historical search behavior and temporal patterns within a given domain or market.
7
Publications
437
Citations
22
Authors
21
Institutions
Publications per year
2017–2026
4
Parents
7
A hybrid MIDAS approach for forecasting hotel demand using large panels of search data
Binru Zhang, Nao Li, Rob Law et al. · Tourism Economics · 2021 · 19 citations · Full text
1–5 of 7
22
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1–5 of 22
21

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
3 publications
290 citations
Academy of Mathematics and Systems Science
Beijing, China
1 h-index
1 publications
35 citations
National University of Technology
Islamabad, Pakistan
1 h-index
1 publications
12 citations

College of Charleston
Charleston, United States
1 h-index
1 publications
203 citations
Yangtze Normal University
Fuling, China
1 h-index
1 publications
19 citations
University of Management and Technology
Lahore, Pakistan
1 h-index
2 publications
24 citations
Universidad de Salamanca
Salamanca, Spain
1 h-index
2 publications
174 citations

Beijing Technology and Business University
Beijing, China
1 h-index
1 publications
19 citations
1–8 of 21
2 publications · 87 citations
2
h-index
IJCAT · 1 publications · 12 citations
1
h-index
1 publications · 35 citations
1
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JHTT · 1 publications · 203 citations
1
h-index
IJM · 1 publications · 87 citations
1
h-index
1–5