Identifying Annual Consumer Homestay Activity of Top-Rated Airbnbs through Simulation and RNG Modelling-Reference-Cited by-同舟云学术

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Identifying Annual Consumer Homestay Activity of Top-Rated Airbnbs through Simulation and RNG Modelling

Published:2023-11-19 Issue: Volume:94 Page:1-5
ISSN:
Container-title:2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Neiconel Bandala¹,Cruz Angel Emmanuel B.²,Cruz Sean Fredrick B.³,Dejan Angelo James S.¹,Mackleine Espino⁴,Plaza Chauncey Oswold Thomas B.⁵,Serrano Elcid A.⁵

Affiliation:

1. School of Information Technology, Mapua University,Mandaluyong City,Philippines

2. School of Information Technology, Mapua University,Metro Manila,Philippines

3. School of Information Technology, Mapua University,Quezon City,Philippines

4. School of Information Technology, Mapua University,Bulacan,Philippines

5. School of Information Technology, Mapua University,Makati City,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10588998/10589001/10589101.pdf?arnumber=10589101

Reference23 articles.

1. Airbnb listings’ performance: determinants and predictive models

2. A first look at online reputation on Airbnb, where every stay is above average

3. Airbnb: the future of networked hospitality businesses

4. What do Airbnb users care about? An analysis of online review comments

5. Community consequences of Airbnb;Gold;Wash. L. Rev.,2019

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