[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 …

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 …

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 …

[HTML][HTML] Deep learning and Internet of Things for tourist attraction recommendations in smart cities

JC Cepeda-Pacheco, MC Domingo - Neural Computing and Applications, 2022 - Springer
We propose a tourist attraction IoT-enabled deep learning-based recommendation system to
enhance tourist experience in a smart city. Travelers will enter details about their travels …

Two-stage travel itinerary recommendation optimization model considering stochastic traffic time

Y Ding, L Zhang, C Huang, R Ge - Expert Systems with Applications, 2024 - Elsevier
In an increasingly competitive market, most online tour operators have launched
personalized travel itinerary recommendation services. Different from previous studies, this …

Spatial-temporal interval aware individual future trajectory prediction

Y Jiang, Y Yang, Y Xu, E Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The past flourishing years of sequential location-based services began with the introduction
of the Self-Attention Network (SAN), which quickly superseded CNN or RNN as the state-of …

A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining

M Kolahkaj, A Harounabadi… - Electronic Commerce …, 2020 - Elsevier
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …

Multi-objective reinforcement learning approach for trip recommendation

L Chen, G Zhu, W Liang, Y Wang - Expert Systems with Applications, 2023 - Elsevier
Trip recommendation is an intelligent service that provides personalized itinerary plans for
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …

Leveraging multimodal features and item-level user feedback for bundle construction

Y Ma, X Liu, Y Wei, Z Tao, X Wang… - Proceedings of the 17th …, 2024 - dl.acm.org
Automatic bundle construction is a crucial prerequisite step in various bundle-aware online
services. Previous approaches are mostly designed to model the bundling strategy of …

[HTML][HTML] Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations

J Ruiz-Meza, JR Montoya-Torres - Annals of Operations Research, 2021 - Springer
Tourism is one of the fastest-growing sectors in the world with a shift from mass tourism to
personalized travel. Nevertheless, it generates significant environmental impacts. The …