Airbnb: Exciting innovation or passing fad?
In this paper we investigate the Airbnb phenomenon from the dual perspective of their
customers and competitors. We use two different methods to collect data: an online survey …
customers and competitors. We use two different methods to collect data: an online survey …
A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS
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 …
personalized information for online users. The hotel industry is a leading stakeholder in the …
Multi-criteria recommender systems
G Adomavicius, N Manouselis, YO Kwon - Recommender systems …, 2010 - Springer
This chapter aims to provide an overview of the class of multi-criteria recommender systems.
First, it defines the recommendation problem as a multicriteria decision making (MCDM) …
First, it defines the recommendation problem as a multicriteria decision making (MCDM) …
An intelligent data analysis for recommendation systems using machine learning
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 …
become a critical issue for the travelers. The online hotel search has been increased at a …
Hybrid recommendation approaches for multi-criteria collaborative filtering
Recommender systems are software tools and techniques for suggesting items in an
automated fashion to users tailored their preferences. Collaborative Filtering (CF) …
automated fashion to users tailored their preferences. Collaborative Filtering (CF) …
Analysis of travellers' online reviews in social networking sites using fuzzy logic approach
Social media and digital technology have had significant contributions and impacts on the
hospitality and accommodation businesses. Online traveller reviews have been rich sources …
hospitality and accommodation businesses. Online traveller reviews have been rich sources …
Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations
Travel websites and online booking platforms represent today's major sources for customers
when gathering information before a trip. In particular, community-provided customer …
when gathering information before a trip. In particular, community-provided customer …
Analysis and prediction of hotel ratings from crowdsourced data
Crowdsourcing has become an essential source of information for tourism stakeholders.
Every day, tourists leave large volumes of feedback data in the form of posts, likes, textual …
Every day, tourists leave large volumes of feedback data in the form of posts, likes, textual …
Luxurious or economical? An identification of tourists' preferred hotel attributes using best–worst scaling (BWS)
This article explores consumer tendencies to opt for luxury or economy hotels by identifying
their most and least important selection attributes. The researchers investigate how …
their most and least important selection attributes. The researchers investigate how …
Toward social media content recommendation integrated with data science and machine learning approach for E-learners
Z Shahbazi, YC Byun - Symmetry, 2020 - mdpi.com
Electronic Learning (e-learning) has made a great success and recently been estimated as
a billion-dollar industry. The users of e-learning acquire knowledge of diversified content …
a billion-dollar industry. The users of e-learning acquire knowledge of diversified content …