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 …

Improving itinerary recommendations for tourists through metaheuristic algorithms: an optimization proposal

M Tenemaza, S Luján-Mora, A De Antonio… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, recommender systems have been used as a solution to support tourists with
recommendations oriented to maximize the entertainment value of visiting a tourist …

A chat-based group recommender system for tourism

TN Nguyen, F Ricci - Information Technology & Tourism, 2018 - Springer
Group recommender systems are information filtering and decision support applications that
are aimed at aiding a group of users in making decisions when they are considering a set of …

A systematic review of interaction design strategies for group recommendation systems

O Alvarado, NN Htun, Y Jin, K Verbert - … of the ACM on Human-Computer …, 2022 - dl.acm.org
Systems involving artificial intelligence (AI) are protagonists in many everyday activities.
Moreover, designers are increasingly implementing these systems for groups of users in …

Smart tourism platform based on microservice architecture and recommender services

LM Garcia, S Aciar, R Mendoza, JJ Puello - International Conference on …, 2018 - Springer
Smart tourism platforms have made it easier for travelers to plan and manage their trips as a
decision support. This paper is focuses on three applications in tourist intelligent (tourism …

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 …

Cruise onboard itinerary planning for multi passengers with service venue capacity and time-window constraints

J Li, Z Zhang, D Song, B Yang, L Zhou - Computers & Operations Research, 2024 - Elsevier
The design of personalized onboard itineraries for multiple cruise passengers plays an
important role in improving the tourism experience on cruise. Different from itinerary …

Where's everybody? Comparing the use of heatmaps to uncover cities' tacit social context in smartphones and pervasive displays

A Komninos, J Besharat, D Ferreira… - … Technology & Tourism, 2017 - Springer
We introduce HotCity, a city-wide social context crowdsourcing platform that utilises user's
current location and geo-tagged social data (eg, check-ins,“likes” and ratings) to …

Sequence recommendations for groups: a dynamic approach to balance preferences

S Migliorini, E Quintarelli, M Gambini, A Belussi… - Information Systems, 2022 - Elsevier
We are living in the age of recommendations: it has been estimated that two-thirds of the
films viewed on Netflix come from recommendations while the 35% of Amazon sales regard …

GRIDS: Personalized Guideline Recommendations while Driving Through a New City

S Pargal, D Das, B Sahoo, B Mitra… - ACM Transactions on …, 2024 - dl.acm.org
Drive tourism has become increasingly popular in the past decade; however, driving through
a new city is challenging because the road and traffic environments vary significantly across …