Cost-based distributionally robust tourist attraction recommendation with demand uncertainty

Z Li, Q Li, Z Li, L Huang, S Pu, Z Luo - Journal of Intelligent & Fuzzy … - content.iospress.com
Tourist attraction recommendation (TAR) problem has gained attention due to its potential to
enhance tourist services. Existing studies focus on meeting tourists' individual needs, but …

Cost-Based attraction recommendation for tour operators under stochastic demand

C Huang, Y Ding, W Hu, Y Jiang, Y Li - Omega, 2021 - Elsevier
Attraction recommendation is a key functionality offered by tour operators. The main
stakeholders of attraction recommendations include tourists and tour operators. The former …

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 …

Season-aware attraction recommendation method with dual-trust enhancement

C Huang, M Liu, H Gong, F Xu - Journal of Intelligent & Fuzzy …, 2017 - content.iospress.com
Attraction recommendation plays an essential role in tourism. For example, it can relieve
information overload for tourists and increase sales for tourism operators. When making …

Personalized Tour Itinerary Recommendation Algorithm Based on Tourist Comprehensive Satisfaction

D Liu, L Wang, Y Zhong, Y Dong, J Kong - Applied Sciences, 2024 - mdpi.com
Personalized travel itinerary recommendation algorithms are the focus of research in smart
tourism and tourism GIS. Aiming to address issues present in travel itinerary …

Attraction recommendation: Towards personalized tourism via collective intelligence

J Shen, C Deng, X Gao - Neurocomputing, 2016 - Elsevier
Travel recommendation systems can tackle the problem of information overload and
recommend proper attractions on the basis of users׳ preferences. Most existing travel …

Tourism Route Recommendation Using Reinforcement Learning

MI Mubarak, ZKA Baizal - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
Tourism is a rapidly growing sector that has a significant impact on increasing a country's
national income. Indonesia's GDP is expected to grow in the coming years, and tourism is a …

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

G Telonis, A Panteli, B Boutsinas - Mathematics, 2023 - mdpi.com
Trip recommendation for groups of tourists (TRGT) is a challenging task in tourism since
many tourists travel in groups, inducing social interaction and bringing various social …

Integer nonlinear programming and optimized weighted-average approach for mobile hotel recommendation by considering travelers' unknown preferences

YC Lin, T Chen, LC Wang - Operational Research, 2018 - Springer
The existing mobile hotel recommendation systems are usually subject to a difficult problem—
travelers choose dominated hotels. This problem is difficult to resolve because there is no …

Two-stage distributionally robust optimization model for warehousing-transportation problem under uncertain environment.

R Huang, S Qu, Z Liu - Journal of Industrial & Management …, 2023 - search.ebscohost.com
In recent years, with the continuous development of people's income and consumption level,
consumers have higher and higher requirements for goods and services. The traditional …