Mobile technologies and applications towards smart tourism–state of the art

J Dorcic, J Komsic, S Markovic - Tourism Review, 2019 - emerald.com
Purpose The popularity of mobile technologies and applications is constantly growing and
undoubtedly changing consumers' and providers' behavior. The purpose of this study is to …

[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 …

A simulated annealing-based recommender system for solving the tourist trip design problem

T Tlili, S Krichen - Expert Systems with Applications, 2021 - Elsevier
Tourism recommender system (TRS) experienced high growth over the last decades given
its significant role in tourist satisfaction. Tourists are usually worried about planning their …

Linked open data in location-based recommendation system on tourism domain: A survey

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

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 …

Tourist recommender systems based on emotion recognition—a scientometric review

L Santamaria-Granados, JF Mendoza-Moreno… - Future Internet, 2020 - mdpi.com
Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

Location embeddings for next trip recommendation

A Dadoun, R Troncy, O Ratier, R Petitti - … of The 2019 World Wide Web …, 2019 - dl.acm.org
The amount of information available in social media and specialized blogs has become
useful for a user to plan a trip. However, the user is quickly overwhelmed by the list of …

The vacation planning problem: A multi-level clustering-based metaheuristic approach

N Vathis, C Konstantopoulos, G Pantziou… - Computers & Operations …, 2023 - Elsevier
Abstract We study the Vacation Planning Problem (VPP), an extension of the Tourist Trip
Design Problem which is suitable for modelling scenarios wherein a tourist wishes to …

Exploiting semantics for context-aware itinerary recommendation

A Fogli, G Sansonetti - Personal and Ubiquitous Computing, 2019 - Springer
Itinerary planning is a challenging task for users wishing to enjoy points of interest (POIs) in
line with their preferences, the current context of use, and travel constraints. This article …

Combining reinforcement learning and spatial proximity exploration for new user and new poi recommendations

D Massimo, F Ricci - Proceedings of the 31st ACM Conference on User …, 2023 - dl.acm.org
Tourism Recommender Systems (TRSs) are unable to properly suggest new points of
interest (POIs) to new users, ie, to solve the combined new user and new item problem. To …