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Recommendation Systems for Tourism Based on Social Networks: A Survey [article]

Alan Menk, Laura Sebastia, Rebeca Ferreira
2019 arXiv   pre-print
Through a comprehensive literature review, we aim to collaborate with the future recommender systems, by giving some clear classifications and descriptions of the current tourism recommender systems.  ...  This paper reviews and analyses many research publications focusing on tourism recommender systems that use social networks in their projects.  ...  Acknowledgements This work was supported by CAPES Foundation, Ministry of Education of Brazil, Brasilia -DF, Zip Code 70.040-020 (Alan Menk) and Spanish Government Project TIN2017-88476-C2-1-R (Laura Sebastia  ... 
arXiv:1903.12099v1 fatcat:sb37b7xdsncwbkqw5vs3h22rca

Artificial Intelligence Systems applied to tourism: A Survey [article]

Luis Duarte, Jonathan Torres, Vitor Ribeiro, Inês Moreira
2020 arXiv   pre-print
We also carried out an in-depth research on systems for predicting traffic human flow, more accurate recommendation systems and even how geospatial is trying to display tourism data in a more informative  ...  Artificial Intelligence (AI) has been improving the performance of systems for a diverse set of tasks and introduced a more interactive generation of personal agents.  ...  Due to the complexity of the task and the multitude of subjects to retrieve information from, it is more suitable and common to create agents for a specific subject, in this case for touristic opportunities  ... 
arXiv:2010.14654v1 fatcat:wu6kfnpkofhcxbepyooslgcz4i

Case Base Querying for Travel Planning Recommendation

F. Ricci, H. Werthner
2001 Information Technology & Tourism  
Case-Based Reasoning techniques enable the user to browse a repository of past travels and make possible the ranking of the elementary items included in a recommendation when these are selected from a  ...  This paper describes the general architecture and function of an intelligent recommendation system aimed at supporting a leisure traveller in the task of selecting a tourist destination, bundling a set  ...  Not and D. Fesenmaier for their feedback and comments.  ... 
doi:10.3727/109830501108751001 fatcat:vy4th3xkaba5to6mu2pe7ly3sy

Intelligent tourism recommender systems: A survey

Joan Borràs, Antonio Moreno, Aida Valls
2014 Expert systems with applications  
A comprehensive and thorough search of the smart e-Tourism recommenders reported in the Artificial Intelligence journals and conferences since 2008 has been made.  ...  The paper provides a detailed and up-to-date survey of the field, considering the different kinds of interfaces, the diversity of recommendation algorithms, the functionalities offered by these systems  ...  Making, TIN2012-34369), and the collaboration agreement between the ITAKA research group and the Science & Technology Park for Tourism and Leisure in the area of technological applications for Tourism  ... 
doi:10.1016/j.eswa.2014.06.007 fatcat:l234hd377rdefczfvsw52at46a

Social Trust Based Semantic Tourism Recommender System: A Case of Medical Tourism in Tunisia

Mohamed Frikha, Mohamed Mhiri, Faiez Gargouri
2017 European Journal of Tourism Research  
Afterwards, we have used this method in a semantic tourism recommender system as a smart e-tourism tool able to recommend items based on the users' preferences and their trusted friends' preferences.  ...  Finally, we have implemented the system and collected feedback from real users to evaluate the quality of recommendation and prove its importance in improving the medical tourism domain.  ...  Concerning the user interfaces of tourism recommender systems, most of them offer a web-based interface.  ... 
doi:10.54055/ejtr.v17i.294 fatcat:zh4udp3v5ne2ncaf2zaxeazvg4

BITOUR: A Business Intelligence Platform for Tourism Analysis

Alexander Bustamante, Laura Sebastia, Eva Onaindia
2020 ISPRS International Journal of Geo-Information  
Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness.  ...  This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi9110671 fatcat:fakl7vnytbc2zphqj27clnog6u

Leveraging Multimodal Interaction and Adaptive Interfaces for Location-based Augmented Reality Islamic Tourism Application

Rimaniza Zainal Abidin, Haslina Arshad, Saidatul A'isyah Ahmad Shukri, Mah Fui Ling
2018 International Journal on Advanced Science, Engineering and Information Technology  
A Location-based Augmented Reality (LBAR) application leveraging multimodal interaction and adaptive interface based on Islamic tourism information was proposed to enhance user experience while travelling  ...  We discussed the process of analysing and designing the user interfaces of previous studies.  ...  Beside, CARAGS was developed using HMD and vibration device to performs a gesture sign and retrieved vibration feedback when user perform their assembly task [25] .  ... 
doi:10.18517/ijaseit.8.4-2.6822 fatcat:rkd3m7kh6feardc5hspax4zmbu

Improving Recommendation Effectiveness: Adapting a Dialogue Strategy in Online Travel Planning

Tariq Mahmood, Francesco Ricci, Adriano Venturini
2009 Information Technology & Tourism  
We applied and tested our approach within a prototype of an online travel recommender system in collaboration with the Austrian Tourism portal (  ...  We applied and tested our approach within a prototype of an online travel recommender system in collaboration with the Austrian Tourism portal (  ...  In our application the system uses a MDP to model its decision-making problems, i.e., what computations to perform and what user interface to show, after the user makes a request (e.g., a search for hotels  ... 
doi:10.3727/109830510x12670455864203 fatcat:2xqikpm6xfa6pokh4i6iam3jjq

Typology of senior travellers as users of tourism information technology

Juho Pesonen, Raija Komppula, Annina Riihinen
2015 Information Technology & Tourism  
This study examines senior travellers as users of tourism information technology. A qualitative approach was adopted to provide insights into the topic, and nine Finnish seniors were interviewed.  ...  These new senior travellers differ from earlier generations in many ways, one of which has to do with the increasing use of information and communication technologies as part of their information search  ...  Czaja et al. (2001) found significant differences between different age groups in terms of how they perform a complex information search and retrieve relevant information.  ... 
doi:10.1007/s40558-015-0032-1 fatcat:eqwhivh4inf2dcnwtkxio3duu4

Personalized Recommendation Algorithm of Smart Tourism Based on Cross-Media Big Data and Neural Network

Jing Lu, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
information of tourists' destination, which can help understand users' tourism preferences from different angles.  ...  Aiming at the problems of sparse data, insufficient tourism factors, and low recommendation accuracy in the existing tourism recommendation research, this paper puts forward a scenic spot recommendation  ...  Acknowledgments is work was supported by the Department of Management, Zhengzhou University of Technology.  ... 
doi:10.1155/2022/9566766 pmid:35795765 pmcid:PMC9251073 fatcat:atcrxle7zndebndqvm4ularmxe

Factors affecting value co-creation through artificial intelligence in tourism: a general literature review

Konstantinos Solakis, Vicky Katsoni, Ali B. Mahmoud, Nicholas Grigoriou
2022 Journal of Tourism Futures  
/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality  ...  in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC  ...  authors can be found at the end of this article.)  ... 
doi:10.1108/jtf-06-2021-0157 fatcat:3hyiq5365najnf22oqglnkskay

Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research

Dimitrios Buhalis, Rob Law
2008 Tourism Management  
Using a wide variety of sources, mainly in the tourism literature, this paper comprehensively reviews and analyzes prior studies in the context of Internet applications to Tourism.  ...  A major contribution of this paper is its overview of the research and development efforts that have been endeavoured in the field, and the challenges that tourism researchers are, and will be, facing.  ...  of relationships regarding information search and cross-cultural impacts on tourists' online information search behaviours.  ... 
doi:10.1016/j.tourman.2008.01.005 fatcat:cpm5wicnpfchbfsp6vg74tzrke

Designing a knowledge-based tourism information system

Laurence Noel, Olivier Carloni, Nicolas Moreau, Stephanie Weiser
2008 International Journal of Digital Culture and Electronic Tourism  
The goal of the Eiffel project is to design a knowledge-based information system that can be used by tourism organisations, both, to manage their resources and to promote them on a web portal.  ...  In this paper, we define and analyse two types of processes: first, the integration of data into the knowledge-base (internalisation process) and second, the communication of data from the knowledge base  ...  Exploratory search is the term coined to define this second type of information-seeking behaviour.  ... 
doi:10.1504/ijdcet.2008.020132 fatcat:uuz7ywka2bf47ipxoerfjwql2m

Information supply in tourism management by marketing decision support systems

Karl W Wöber
2003 Tourism Management  
/models into simple surfaces, and 3. various administrative programmes which assist the maintenance of the database and track and control the information search behaviour of users.  ...  Only if the information supply meets the users' needs will the system achieve its aim of providing a high-performance usage of market data and improve the information supply in tourism management.  ... 
doi:10.1016/s0261-5177(02)00071-7 fatcat:z4ok6zqfqjeplkcdj6w6wduzge

Systematic Review of Contextual Suggestion and Recommendation Systems for Sustainable e-Tourism

Haseeb Ur Rehman Khan, Chen Kim Lim, Minhaz Farid Ahmed, Kian Lam Tan, Mazlin Bin Mokhtar
2021 Sustainability  
This study surveyed literature in the field of contextual suggestion and recommendation systems with a focus on e-tourism.  ...  The contextual suggestion has emerged as a modified recommendation system that is integrated with information-retrieval techniques within large databases to provide tourists with a list of suggestions  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13158141 fatcat:cko7kgrv6zdw7my7nst4jgd2fq
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