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 …
[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 …
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 …
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
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 …
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
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 …
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …
Tour recommendation and trip planning using location-based social media: A survey
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 …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
The city trip planner: an expert system for tourists
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 …
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
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 …
need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align …
[HTML][HTML] HTN planning: Overview, comparison, and beyond
I Georgievski, M Aiello - Artificial Intelligence, 2015 - Elsevier
Hierarchies are one of the most common structures used to understand and conceptualise
the world. Within the field of Artificial Intelligence (AI) planning, which deals with the …
the world. Within the field of Artificial Intelligence (AI) planning, which deals with the …
Sigtur/e-destination: ontology-based personalized recommendation of tourism and leisure activities
SigTur/E-Destination is a Web-based system that provides personalized recommendations
of touristic activities in the region of Tarragona. The activities are properly classified and …
of touristic activities in the region of Tarragona. The activities are properly classified and …