SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Forecasting tourist arrivals with machine learning and internet search index · Study

ArticleShelves

ArticleForecasting tourist arrivals with machine learning and internet search index

Shaolong Sun2018

Article2018

Forecasting tourist arrivals with machine learning and internet search index

Shaolong Sun · Yunjie Wei · Kwok‐Leung Tsui · Shouyang Wang

381 citations·0/0 files stored·Tourism Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Forecasting Techniques and Applications Diverse Aspects of Tourism Research Time Series Analysis and Forecasting

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 381 citations exist upstream.

References

1994Comparing Predictive Accuracy 2012Predicting the Present with Google Trends 1999Numerical distribution functions of likelihood ratio tests for cointegration 2002Comparing Predictive Accuracy 2007Tourism demand modelling and forecasting—A review of recent research 1995Forecasting tourism demand: A review of empirical research 2011Forecasting private consumption: survey-based indicators vs. Google trends 2009Google Econometrics and Unemployment Forecasting

Cited by

2020Forecasting tourism demand with multisource big data 2020Review of tourism forecasting research with internet data 2020Daily tourism volume forecasting for tourist attractions 2020Tourism Demand Forecasting: A Decomposed Deep Learning Approach 2020Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach 2021A systematic literature review on the use of big data for sustainable tourism

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2016Short-term forecasting of Japanese tourist inflow to South Korea using Google trends dataarticle · 7 shared references 2019Spurious patterns in Google Trends data - An analysis of the effects on tourism demand forecasting in Germanyarticle · 7 shared references 2019Forecasting Tourism Demand with Decomposed Search Cyclesarticle · 6 shared references 2020Forecasting Tourism Demand with an Improved Mixed Data Sampling Modelarticle · 6 shared references 2019Forecasting tourism demand using search query data: A hybrid modelling approacharticle · 6 shared references 2016Forecasting tourism demand with composite search indexarticle · 5 shared references

Details

Year2018

Typearticle

Published2018-07-18

VenueTourism Management

ISSN-L0261-5177

Languageen

Citations381

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.tourman.2018.07.010

openalex_workW2884741544

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2020Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting

2021Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making