Next Article in Journal
Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information
Previous Article in Journal
Intrapreneurial Self-Capital and Sustainable Innovative Behavior within Organizations
Article Menu

Export Article

Open AccessArticle
Sustainability 2019, 11(2), 323;

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

Faculty of Tourism, Eastern Mediterranean University, Famagusta 99450, TRNC, Via Mersin 10, Turkey
Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Mechatronics Engineering Department, Kennesaw State University, Marietta, GA 30066, USA
Author to whom correspondence should be addressed.
Received: 3 December 2018 / Revised: 21 December 2018 / Accepted: 30 December 2018 / Published: 10 January 2019
(This article belongs to the Special Issue Cultural Heritage and Smart Tourism)
Full-Text   |   PDF [2180 KB, uploaded 15 January 2019]   |  


The purpose of the study is to design and develop a recommended system based on agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry. A hybrid recommendation system based on agent technology is designed by considering the online communication with other sectors in the tourism industry, such as the tourism supply chain, agency etc. However, online communication between the sectors via agents is designed and developed based on the contract net protocol. Furthermore, the design system is developed on the java agent development framework and implemented as a web application. Case study-based results considering two scenarios involving 100 customers illustrated that the proposed web application improves the rate of the recommendation for the customers. In the first scenario without disturbances, this rate was improved by 20% and the second scenario with disturbances yielded a 30% rate of acceptable recommendation. In addition, based on the second scenario, real time data communication on the system occurred, thus the proposed system supported real time data communication. View Full-Text
Keywords: smart tourism; recommendation system; multiagent system; case study smart tourism; recommendation system; multiagent system; case study

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hassannia, R.; Vatankhah Barenji, A.; Li, Z.; Alipour, H. Web-Based Recommendation System for Smart Tourism: Multiagent Technology. Sustainability 2019, 11, 323.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top