A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model
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Description
Recommender systems have been pervasively applied as a technique of suggesting travel recommendations to tourists. Actually, recommendation systems significantly contribute to the decision-making process of tourists. A new approach of recommendation systems in the tourism industry by a combination of the Artificial Bee Colony (ABC) algorithm and Fuzzy TOPSIS is proposed in the present paper. A multi-criteria decision-making method called the Techniques for Order of Preference by Similarity to Ideal Solution (TOPSIS) has been applied for the purpose of optimizing the system. Data were gathered through a 1015 online questionnaire on the Facebook social media site. In the first stage, the TOPSIS model defines a positive ideal solution in the form of a matrix with four columns, which indicates factors that get involved in this study. In the second stage, the ABC algorithm starts to search amongst destinations and recommends the best tourist spot to users.
Impact and interest:
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ID Code: | 241097 |
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Item Type: | Contribution to Journal (Journal Article) |
Refereed: | Yes |
Measurements or Duration: | 25 pages |
Keywords: | ABC algorithm, Facebook social network, Recommender systems, topsis model, tourism |
DOI: | 10.1080/16168658.2021.2019430 |
ISSN: | 1616-8658 |
Pure ID: | 138920224 |
Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Computer Science |
Copyright Owner: | 2022 The Authors |
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
Deposited On: | 04 Jul 2023 01:32 |
Last Modified: | 02 Aug 2024 19:35 |
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