Work

Enhancing Tourist Experience via Automatic Personalized Route Suggestions

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10796573

Authors: Sediola Ruko, José M. Alcalde-Llergo, Enrique Yeguas-Bolívar, Andrea Zingoni

Institutions: Università degli Studi della Tuscia, University of Córdoba

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405756092

FWCI: 0.384

Cites: 17

Cited by: 1

Related to: 10