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 hel** users to identify and choose useful items and information. In this paper …

Smart cities financing system: An empirical modelling from the European context

M Blanck, JLD Ribeiro - Cities, 2021 - Elsevier
This work investigates the experimental hypothesis of the influence of innovation financing
and innovation collaboration systems on the evolution of the Smart Urban Development …

Digitales Besuchermanagement im Tourismus–Konzeptioneller Rahmen und Gestaltungsmöglichkeiten

D Schmücker, R Keller, J Reif, J Schubert… - Digital Leadership Im …, 2023 - Springer
Zusammenfassung Digitales Besuchermanagement beschreibt die Beeinflussung von
Reise-und Ausflugsentscheidungen durch digitale Verfahren zur Vermeidung von …

[PDF][PDF] Technology in tourism

F Afsahhosseini - Proceedings of 8th ITSA Biennial Conference, 2020 - researchgate.net
Tourism is a business activity and divided into traditional tourism and modern tourism.
Digital World describes how computer hardware, software, networks, and systems work …

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?

S Al-Shareeda, SF Oktug, Y Yaslan… - 2024 IEEE 21st …, 2024 - ieeexplore.ieee.org
This paper investigates the potential of Digital Twins (DTs) to enhance network performance
in densely populated urban areas, specifically focusing on vehicular networks. The study …

Challenges for recommender systems evaluation

F Ricci, D Massimo, A De Angeli - … of the 14th Biannual Conference of …, 2021 - dl.acm.org
Many businesses and web portals adopt Recommender Systems (RSs) to help their users to
tame information overload and make better choices. Despite the fact that RSs should …

[KNJIGA][B] Digitale Besuchermessung im Tourismus: Ziele, Methoden, Bewertungen

D Schmücker, J Reif - 2022 - books.google.com
Klarheit über die Besucher: innen in der Destination: Wie viele, woher, wohin? Zu viele
Besucher: innen an einem Ort-das ist in Urlaubsorten keine Seltenheit. Die Folge ist eine …

Datatourist: A constraint-based recommender system using datatourisme ontology

B Boudaa, D Figuir, S Hammoudi… - International Journal of …, 2021 - igi-global.com
Collaborative and content-based recommender systems are widely employed in several
activity domains hel** users in finding relevant products and services (ie, items). However …

Enhancing travel experience leveraging on-line and off-line users' behaviour data

D Massimo, F Ricci - Companion Proceedings of the 25th International …, 2020 - dl.acm.org
Several tourism applications have been designed to support on-line information search and
content browsing. However, often they neglect user's current visit experience, ie, what the …

[PDF][PDF] Smart Tourism Intermingling with Indian Spiritual Destinations: Role of e-WoM Sentiments in marketing

S Veerasamy, S Goswami - ASEAN J Hosp Tour, 2022 - core.ac.uk
The purpose of this study is to see how smart tourism and sentiments help tourists seeking
spiritual experiences that are deep-rooted in ancient Indian traditions as opposed to …