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 …

A comprehensive survey on travel recommender systems

K Chaudhari, A Thakkar - Archives of computational methods in …, 2020 - Springer
Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications

E Krishnan, R Mohammed, A Alnoor… - … Journal of Intelligent …, 2021 - Wiley Online Library
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …

Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications

AH Alamoodi, RT Mohammed, OS Albahri… - Complex & Intelligent …, 2022 - Springer
The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …

Linked open data in location-based recommendation system on tourism domain: A survey

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

A thematic travel recommendation system using an augmented big data analytical model

SPR Asaithambi, R Venkatraman, S Venkatraman - Technologies, 2023 - mdpi.com
Tour planning has become both challenging and time-consuming due to the huge amount of
information available online and the variety of options to choose from. This is more so as …

Mining social lending motivations for loan project recommendations

J Yan, K Wang, Y Liu, K Xu, L Kang, X Chen… - Expert Systems with …, 2018 - Elsevier
Online social lending has facilitated the ability of borrowers to reach lenders for financing
support. With the increasing number of social lending projects, it is becoming very difficult for …

A tourist recommendation system: a study case in mexico

S Arce-Cardenas, D Fajardo-Delgado… - … conference on artificial …, 2021 - Springer
The present work deals with implementing tourist recommendation systems designed to
predict the user preferences about a place or tourist activity in Mexico. Three …

CF-NN: a novel decision support model for borrower identification on the peer-to-peer lending platform

Y Pan, S Chen, D Wu, A Dolgui - International Journal of …, 2021 - Taylor & Francis
With the prevalence of online individual micro-loans, an increasing number of peer-to-peer
lending platforms have been established during the last ten years. One main problem for …

Contextual bandit approach-based recommendation system for personalized web-based services

A Pilani, K Mathur, H Agrawald… - Applied Artificial …, 2021 - Taylor & Francis
In recent years, recommendation systems have started to gain significant attention and
popularity. A recommendation system plays a significant role in various applications and …