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Using Online Hotel Customer Reviews to Improve the Booking Process

by Wojoud Al-abdullatif, Yasser Kotb
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 16
Year of Publication: 2014
Authors: Wojoud Al-abdullatif, Yasser Kotb
10.5120/17090-7624

Wojoud Al-abdullatif, Yasser Kotb . Using Online Hotel Customer Reviews to Improve the Booking Process. International Journal of Computer Applications. 97, 16 ( July 2014), 13-20. DOI=10.5120/17090-7624

@article{ 10.5120/17090-7624,
author = { Wojoud Al-abdullatif, Yasser Kotb },
title = { Using Online Hotel Customer Reviews to Improve the Booking Process },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 16 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number16/17090-7624/ },
doi = { 10.5120/17090-7624 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:16.288629+05:30
%A Wojoud Al-abdullatif
%A Yasser Kotb
%T Using Online Hotel Customer Reviews to Improve the Booking Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 16
%P 13-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The e-commerce field has developed to the point that more and more hotel companies provide online booking services to travelers as an integral part of their business model. Increasing numbers of hotel companies now provide such services as an integral part of their business model and their guests' experiences with their hotel. Some third-party services allow customers to add comments on each hotel at the affiliated website. The current search tool features at hotel websites are based on fixed properties, allowing companies to take advantage of the huge number of available customer reviews to provide relevant information to consumers considering new services. The present research focuses on the possibility of linking customer reviews with search tools for online hotel booking and dividing the customers into categories based on their travel aims. This shall be accomplished by: 1) extracting customer reviews using opinion mining and finding hotel features that are frequently mentioned in the reviews, and 2) then analyzing those features to achieve the goal of enhancing booking processes by adding new characteristics, based on customer preferences. This research should improve online hotel booking by building a customized tool that utilizes available customer reviews at the Agoda website and matches them with users' preferences based on survey results.

References
  1. A. Buche, M. B. Chandak, and A. Zadgaonkar, "Opinion Mining and Analysis?: A Survey," Int. J. Nat. Lang. Comput. , vol. 2, no. 3, pp. 39–48, 2013.
  2. "AGODA. " [Online]. Available: http://www. agoda. com.
  3. M. Hu, B. Liu, and S. M. Street, "Mining and Summarizing Customer Reviews," in ACM, 2004, pp. 168–177.
  4. T. Bhuiyan, "QUT Digital Repository?: State-of-the-Art Review on Opinion Mining from Online Customers ' Feedback," in Proceedings of the 9th Asia-Pacific Complex Systems Conference 09, 2009, no. November, pp. 4–7.
  5. W. Chung and T. -L. (Bill) Tseng, "Discovering business intelligence from online product reviews: A rule-induction framework," Expert Syst. Appl. , vol. 39, no. 15, pp. 11870–11879, Nov. 2012.
  6. X. (Michael) Z. Feng Zhu, "Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics," J. Mark. , vol. 74, no. 2, pp. 133–148, 2010.
  7. H. C. Yan Dang, Yulei Zhang, "A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews," IEEE Intell. Syst. , vol. 25, no. 4, pp. 46–53.
  8. J. Srivastava, P. Desikan, and V. Kumar, "Web Mining - Concepts , Directions," In Foundations and Advances in Data Mining Studies in Fuzziness and Soft Computing, vol. 180, 2005, 2005, pp. 51–71.
  9. S. K. Malik and S. Rizvi, "Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation," in 2011 International Conference on Computational Intelligence and Communication Networks, 2011, pp. 465–469.
  10. S. Kuhlins and R. Tredwell, "Toolkits for generating wrappers," in the International Conference NetObjectDays on Objects, Components, Architectures, Services, and Applications for a Networked World, 2003, pp. 184–198.
  11. "Document Object Model (DOM) - Web API Interfaces | MDN," Mozilla Developer Network and individual contributors, 2014. [Online]. Available: https://developer. mozilla. org.
  12. N. -K. Tran, K. -C. Pham, and Q. -T. Ha, "XPath-Wrapper Induction for Data Extraction," 2010 Int. Conf. Asian Lang. Process. , pp. 150–153, Dec. 2010.
  13. E. Bjørkelund and T. H. Burnett, "A Study of Opinion Mining and Visualization of Hotel Reviews," in ACM, 2012, pp. 229–238.
  14. A. Kongthon, C. Haruechaiyasak, C. Sangkeettrakarn, P. Palingoon, and W. Wunnasri, "HotelOpinion?: An Opinion Mining System on Hotel Reviews in Thailand," in Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11, 2011, pp. 1 – 6.
  15. W. Kasper and M. Vela, "Sentiment Analysis for Hotel Reviews," in Linguistics-Applications Conference, 2011, vol. 231527, pp. 45–52.
  16. F. Mattosinho, "Mining Product Opinions and Reviews on the Web," Technische Universitat Dresden, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

opinion mining customer reviews hotels and features.

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