Recommender systems: Techniques, applications, and challenges

F Ricci, L Rokach, B Shapira - Recommender systems handbook, 2021 - Springer
Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …

Intelligent tourism recommender systems: A survey

J Borràs, A Moreno, A Valls - Expert systems with applications, 2014 - Elsevier
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 …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Introduction to recommender systems handbook

F Ricci, L Rokach, B Shapira - Recommender systems handbook, 2010 - Springer
Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …

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 …

Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research

D Buhalis, R Law - Tourism management, 2008 - Elsevier
This paper reviews the published articles on eTourism in the past 20 years. Using a wide
variety of sources, mainly in the tourism literature, this paper comprehensively reviews and …

eTourism: critical information and communication technologies for tourism destinations.

D Buhalis, D Leung… - Destination marketing and …, 2011 - cabidigitallibrary.org
This chapter examines how information and communication technologies play an important
role in each of the five stages of the buyers' decision making process, and that eTourism is in …

An extensive study on the evolution of context-aware personalized travel recommender systems

S Renjith, A Sreekumar, M Jathavedan - Information Processing & …, 2020 - Elsevier
Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …

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 …

Tourism marketing research: Past, present and future

S Dolnicar, A Ring - Annals of tourism research, 2014 - Elsevier
This paper creates a Tourism Marketing Knowledge Grid and uses it as a framework for the
review. The grid reveals that extant tourism marketing research has primarily focused on …