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Developing a Framework for Generating Hotel Recommendation

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Md. Shafiul Alam Forhad
Mohammad Shamsul Arefin
Published in
Progress in Advanced Computing and Intelligent Engineering
Publisher
Springer Singapore

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Abstract

The chapter introduces a comprehensive framework for hotel recommendations, addressing the need for personalized and accurate suggestions in the e-Tourism sector. By leveraging both textual and numerical feedback, the framework overcomes the homogeneity limitation of traditional systems. It employs natural language processing techniques to analyze user reviews and extract relevant features, while also considering the surrounding environments of hotels. The framework is designed to handle large, heterogeneous datasets, ensuring more accurate and relevant recommendations. The experimental results demonstrate the effectiveness of the proposed approach, showcasing its potential to enhance user experience in the hotel booking process.
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Title
Developing a Framework for Generating Hotel Recommendation
Authors
Md. Shafiul Alam Forhad
Mohammad Shamsul Arefin
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-334-298-9

Electronic ISBN: 978-981-334-299-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4299-6_21
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