Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach

M Nilashi, A Ahani, MD Esfahani… - Journal of Cleaner …, 2019 - Elsevier
The crucial role of customers' positive experience and their subsequent word-of-mouth have
been highlighted by both scholars and practitioners for all industry sectors. In response to an …

Travelers decision making using online review in social network sites: A case on TripAdvisor

M Nilashi, O Ibrahim, E Yadegaridehkordi… - Journal of computational …, 2018 - Elsevier
Digital technology and social media have brought numerous benefits to human society.
TripAdvisor, which runs on user-generated content, provides a platform for travelers to …

An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels

M Nilashi, B Minaei-Bidgoli, M Alrizq… - Expert Systems with …, 2021 - Elsevier
Sustainable tourism is an emerging trend around the world. Eco-friendly (green) hotels are
environmentally friendly properties that are becoming more popular among green travellers …

Analysis of travellers' online reviews in social networking sites using fuzzy logic approach

M Nilashi, E Yadegaridehkordi, O Ibrahim… - International Journal of …, 2019 - Springer
Social media and digital technology have had significant contributions and impacts on the
hospitality and accommodation businesses. Online traveller reviews have been rich sources …

An intelligent data analysis for recommendation systems using machine learning

B Ramzan, IS Bajwa, N Jamil, RU Amin… - Scientific …, 2019 - Wiley Online Library
In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …

Applying Internet information technology combined with deep learning to tourism collaborative recommendation system

M Wang - PLoS One, 2020 - journals.plos.org
Recently, more personalized travel methods have emerged in the tourism industry, such as
individual travel and self-guided travel. The service models of traditional tourism limit the …

An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews

B Ray, A Garain, R Sarkar - Applied Soft Computing, 2021 - Elsevier
Finding a suitable hotel based on user's need and affordability is a complex decision-
making process. Nowadays, the availability of an ample amount of online reviews made by …

Travellers decision making through preferences learning: A case on Malaysian spa hotels in TripAdvisor

M Nilashi, S Samad, A Ahani, H Ahmadi… - Computers & Industrial …, 2021 - Elsevier
Tourism has been one of the biggest competitive industries in the world. Nowadays, medical
and wellness tourism are quickly developing as a part of tourism for health and wellness …

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 …

A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS

M Nilashi, O bin Ibrahim, N Ithnin, NH Sarmin - … Commerce Research and …, 2015 - Elsevier
In order to improve the tourist experience, recommender systems are used to offer
personalized information for online users. The hotel industry is a leading stakeholder in the …