How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management

RA Hamid, AS Albahri, JK Alwan, ZT Al-Qaysi… - Computer Science …, 2021 - Elsevier
Extensive research has been conducted on e-tourism spanning a wide range of concepts,
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …

[HTML][HTML] Smart tourism: State of the art and literature review for the last six years

A Kontogianni, E Alepis - Array, 2020 - Elsevier
In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

An extensive study on the evolution of context-aware personalized travel recommender systems

S Renjith, A Sreekumar, M Jathavedan - Information Processing & …, 2020 - Elsevier
Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …

[HTML][HTML] How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda

P Venkatachalam, S Ray - International Journal of Information Management …, 2022 - Elsevier
Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

Promoting smart tourism personalised services via a combination of deep learning techniques

A Kontogianni, E Alepis, C Patsakis - Expert Systems with Applications, 2022 - Elsevier
Coronavirus has radically changed the world and our lives in many and various ways.
During this crisis, the tourism sector was severely damaged globally, as, within some weeks …

Exploring hybrid recommender systems for personalized travel applications

R Logesh, V Subramaniyaswamy - Cognitive Informatics and Soft …, 2019 - Springer
The recent research in the recommender systems domain has attracted many researchers
due to its increasing demands in the real world. To bridge the real-world issues of the users …

Building effective recommender systems for tourists

D Massimo, F Ricci - AI Magazine, 2022 - ojs.aaai.org
Recommender systems (RSs) are personalized information search and discovery
applications helping users to identify and choose useful items and information. In this paper …

Tourist recommender systems based on emotion recognition—a scientometric review

L Santamaria-Granados, JF Mendoza-Moreno… - Future Internet, 2020 - mdpi.com
Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism

HU Rehman Khan, CK Lim, MF Ahmed, KL Tan… - Sustainability, 2021 - mdpi.com
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …

LOOKER: a mobile, personalized recommender system in the tourism domain based on social media user-generated content

S Missaoui, F Kassem, M Viviani, A Agostini… - Personal and Ubiquitous …, 2019 - Springer
In a ubiquitous computing scenario, characterized by pervasive technologies, tourists can
get assistance from mobile technologies in planning their trips. In a context where more and …