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Geospatial Analysis for Choosing Suitable Location to Start Hotel in Sri Lanka Using Machine Learning

EasyChair Preprint 11989

4 pagesDate: February 8, 2024

Abstract

The post-pandemic recapture of Sri Lanka's tourist industry is

anticipated, and this paper suggests a hotel that employs geospatial

data science for strategic placement and operational excellence. The

hotel will use geospatial analytics to choose the best site, customize

its hospitality offerings to meet local demands, assign resources as

efficiently as possible, build strong community relationships, and

navigate the competitive marketplace. The hotel will succeed in the

resurgent Sri Lankan hospitality sector cheers to its data-driven

strategy.

Keyphrases: Geospatial Data Science, Sri Lanka, hotel industry, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11989,
  author    = {Sachith Yamannage},
  title     = {Geospatial Analysis for Choosing Suitable Location to Start Hotel in Sri Lanka Using Machine Learning},
  howpublished = {EasyChair Preprint 11989},
  year      = {EasyChair, 2024}}
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