Intelligent tourism recommender systems: A survey
Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
Mobile recommender systems in tourism
D Gavalas, C Konstantopoulos, K Mastakas… - Journal of network and …, 2014 - Elsevier
Abstract Recommender Systems (RSs) have been extensively utilized as a means of
reducing the information overload and offering travel recommendations to tourists. The …
reducing the information overload and offering travel recommendations to tourists. The …
A bayesian framework for learning rule sets for interpretable classification
We present a machine learning algorithm for building classifiers that are comprised of a
small number of short rules. These are restricted disjunctive normal form models. An …
small number of short rules. These are restricted disjunctive normal form models. An …
Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior
This research presents a mobile augmented reality (MAR) travel guide, named CorfuAR,
which supports personalized recommendations. We report the development process and …
which supports personalized recommendations. We report the development process and …
Mobile applications in tourism: the future of the tourism industry?
Purpose The purpose of this paper is to extend the unified theory of acceptance and use of
technology with psychological constructs, namely, perceived playfulness, mobile …
technology with psychological constructs, namely, perceived playfulness, mobile …
Innovation drivers in retail industry
E Pantano - International Journal of Information Management, 2014 - Elsevier
Although in recent years research in innovation management in retail industries have
increased drastically, most of these industries have focused only on addressing consumers' …
increased drastically, most of these industries have focused only on addressing consumers' …
A food recommender system considering nutritional information and user preferences
RY Toledo, AA Alzahrani, L Martinez - IEEE Access, 2019 - ieeexplore.ieee.org
The World Health Organization identifies the overall increasing of noncommunicable
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …
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 …
Movie recommendation system using sentiment analysis from microblogging data
Recommendation systems (RSs) have garnered immense interest for applications in e-
commerce and digital media. Traditional approaches in RSs include such as collaborative …
commerce and digital media. Traditional approaches in RSs include such as collaborative …
Decoding the trends and the emerging research directions of digital tourism in the last three decades: a bibliometric analysis
Digital technologies have radically changed the tourism industry and gaining a lot of
attention from the stakeholders. At present, there is voluminous but fragmented research to …
attention from the stakeholders. At present, there is voluminous but fragmented research to …