Large-scale comparative analyses of hotel photo content posted by managers and customers to review platforms based on deep learning: implications for hospitality marketers-Reference-Cited by-同舟云学术

Large-scale comparative analyses of hotel photo content posted by managers and customers to review platforms based on deep learning: implications for hospitality marketers

Published:2020-05-27 Issue:1 Volume:30 Page:96-119
ISSN:1936-8623
Container-title:Journal of Hospitality Marketing & Management
language:en
Short-container-title:Journal of Hospitality Marketing & Management

Author:

Ren Meng¹,Vu Huy Quan²^ORCID,Li Gang³⁴^ORCID,Law Rob⁵^ORCID

Affiliation:

1. School of Computer Science, Xi’an Shiyou University , Xi'an, China

2. Department of Information Systems and Business Analytics, Deakin University , Melbourne, Australia

3. School of Information Technology, Deakin University , Geelong, Australia

4. Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences , Urumqi, China

5. School of Hotel & Tourism Management, The Hong Kong Polytechnic University , Hong Kong SAR, China

Funder

Shaanxi Province Key R&D Fund

Publisher

Informa UK Limited

Subject

Marketing,Tourism, Leisure and Hospitality Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/19368623.2020.1765226

Reference81 articles.

1. An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

2. Projected and Perceived Image of Spain as a Tourist Destination for British Travellers

3. The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors

4. Speeded-Up Robust Features (SURF)

5. Are pictures worth a thousand room nights? Success factors for hotel web site design

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