A survey of recommendation systems: recommendation models, techniques, and application fields

H Ko, S Lee, Y Park, A Choi - Electronics, 2022 - mdpi.com
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

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 …

Tourism recommendation system based on semantic clustering and sentiment analysis

Z Abbasi-Moud, H Vahdat-Nejad, J Sadri - Expert Systems with Applications, 2021 - Elsevier
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …

Context Aware Recommendation Systems: A review of the state of the art techniques

S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

[HTML][HTML] Restaurant recommender system based on sentiment analysis

E Asani, H Vahdat-Nejad, J Sadri - Machine Learning with Applications, 2021 - Elsevier
Today, exploiting sentiment analysis has become popular in designing recommender
systems in various fields, including the restaurant and food area. However, most of the …

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 …

A novel tourism recommender system in the context of social commerce

L Esmaeili, S Mardani, SAH Golpayegani… - Expert Systems with …, 2020 - Elsevier
Abstract Web 2.0 and its services, such as social networks, have significantly influenced
various businesses, including e-commerce. As a result, we face a new generation of e …

Context-aware recommender system: A review of recent developmental process and future research direction

K Haruna, M Akmar Ismail, S Suhendroyono… - Applied Sciences, 2017 - mdpi.com
Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …

New methods and technologies for enhancing usability and accessibility of educational data

D Fonseca, FJ García-Peñalvo, JD Camba - Universal Access in the …, 2021 - Springer
Recent advances in information and communication technologies (ICTs) have fostered the
development of new methods and tools for exploring the increasingly large amounts of data …