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 …

[HTML][HTML] A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines

J Ruiz-Meza, JR Montoya-Torres - Operations Research Perspectives, 2022 - Elsevier
The tourism sector represents an opportunity for economic growth in countries with tourism
potential. However, new trends in global tourism require efficiency in tourism supply chain …

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 …

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency

KH Lim, J Chan, C Leckie, S Karunasekera - Knowledge and Information …, 2018 - Springer
Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …

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 …

Tour recommendation and trip planning using location-based social media: A survey

KH Lim, J Chan, S Karunasekera, C Leckie - Knowledge and Information …, 2019 - Springer
Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

[HTML][HTML] A survey on personalized itinerary recommendation: From optimisation to deep learning

S Halder, KH Lim, J Chan, X Zhang - Applied Soft Computing, 2024 - Elsevier
The tourism industry is a significant contributor to the global economy, responsible for
generating nearly 10% of the world's GDP and employing around 9% of the global …

Tourism recommendation system: A survey and future research directions

JL Sarkar, A Majumder, CR Panigrahi, S Roy… - Multimedia tools and …, 2023 - Springer
Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …

The city trip planner: an expert system for tourists

P Vansteenwegen, W Souffriau, GV Berghe… - Expert Systems with …, 2011 - Elsevier
Over the last few years, advanced digital applications have become available to tourists.
Some of these offer the possibility of creating personalised routes. This paper introduces a …

[PDF][PDF] Personalized tour recommendation based on user interests and points of interest visit durations.

KH Lim, J Chan, C Leckie, S Karunasekera - IJCAI, 2015 - researchgate.net
Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align …