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 …

Building effective recommender systems for tourists

D Massimo, F Ricci - AI Magazine, 2022 - ojs.aaai.org
Recommender systems (RSs) are personalized information search and discovery
applications helping users to identify and choose useful items and information. In this paper …

Multi-task travel route planning with a flexible deep learning framework

F Huang, J Xu, J Weng - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Travel route planning aims to map out a feasible sightseeing itinerary for a traveler covering
famous attractions and meeting the tourist's desire. It is very useful for tourists to plan their …

An adaptive genetic algorithm for personalized itinerary planning

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Traveling as a very popular leisure activity enjoyed by many people all over the world.
Typically, tourists have different kinds of preferences about their itineraries, limited time …

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning

Y Tang, Z Wang, A Qu, Y Yan, K Hou, D Zhuang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we for the first time propose the task of Open-domain Urban Itinerary Planning
(OUIP) for citywalk, which directly generates itineraries based on users' requests described …

Solution for TSP/mTSP with an improved parallel clustering and elitist ACO

GK Baydogmus - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
Many problems that were considered complex and unsolvable have started to solve and
new technologies have emerged through to the development of GPU technology. Solutions …

Automatic planning of multiple itineraries: A niching genetic evolution approach

T Huang, YJ Gong, YH Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Automatic itinerary planning is a crucial and challenging issue in tourism. This paper
proposes a novel automatic planning method to suggest multiple itineraries that satisfy the …

How personality traits can be used to shape itinerary factors in recommender systems for young travellers

F Cena, L Console, S Likavec, M Micheli… - IEEE Access, 2023 - ieeexplore.ieee.org
Planning an itinerary is a complex activity, which includes the choice of a few places to see,
coupled with information on timing, transferring methods and related activities. Intelligent …

Clustering users' pois visit trajectories for next-poi recommendation

D Massimo, F Ricci - … and Communication Technologies in Tourism 2019 …, 2019 - Springer
A novel recommender system that supports tourists in choosing interesting and novel points
of interests (POIs) is here presented. It can deal with situations where users' data is scarce …

Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems

M Kolahkaj, A Harounabadi… - Journal of ambient …, 2021 - Springer
Abstract Area-of-Interest (AOI) recommendation is a type of context-aware recommendation
that works based on location-based data. A context-aware recommender system should be …