Towards a social and context-aware mobile recommendation system for tourism

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Date

2017

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Volume Title

Publisher

Elsevier

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

Loyalty in tourism is one of the main concerns for tourist organizations and researchers alike. Recently, technology in general and CRM and social networks in particular have been identified as important enablers for loyalty in tourism. This paper presents POST-VIA 360, a platform devoted to support the whole life-cycle of tourism loyalty after the first visit. The system is designed to collect data from the initial visit by means of pervasive approaches. Once data is analysed, POST-VIA 360 produces accurate after visit data and, once returned, is able to offer relevant recommendations based on positioning and bio-inspired recommender systems. To validate the system, a case study comparing recommendations from the POST-VIA 360 and a group of experts was conducted. Results show that the accuracy of system's recommendations is remarkable compared to previous efforts in the field. (C) 2016 Elsevier B.V. All rights reserved.

Description

Misra, Sanjay/0000-0002-3556-9331; GARCÍA-PEÑALVO, Francisco José/0000-0001-9987-5584; Colomo-Palacios, Ricardo/0000-0002-1555-9726

Keywords

Tourism, Customer relationship management, Bio-inspired algorithms, Pervasive, Geographic information systems

Turkish CoHE Thesis Center URL

Citation

67

WoS Q

Q2

Scopus Q

Q1

Source

Volume

38

Issue

Start Page

505

End Page

515

URI

https://doi.org/10.1016/j.pmcj.2016.03.001
 https://hdl.handle.net/20.500.14411/2860

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