[HTML][HTML] 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 …

[HTML][HTML] Large language models as recommendation Systems in Museums

G Trichopoulos, M Konstantakis, G Alexandridis… - Electronics, 2023 - mdpi.com
This paper proposes the utilization of large language models as recommendation systems
for museum visitors. Since the aforementioned models lack the notion of context, they cannot …

Enhancing cultural recommendations through social and linked open data

G Sansonetti, F Gasparetti, A Micarelli, F Cena… - User Modeling and User …, 2019 - Springer
In this article, we describe a hybrid recommender system (RS) in the artistic and cultural
heritage area, which takes into account the activities on social media performed by the target …

[HTML][HTML] ACUX recommender: A mobile recommendation system for multi-profile cultural visitors based on visiting preferences classification

M Konstantakis, Y Christodoulou, J Aliprantis… - Big Data and Cognitive …, 2022 - mdpi.com
In recent years, Recommendation Systems (RSs) have gained popularity in different
scientific fields through the creation of (mostly mobile) applications that deliver personalized …

[HTML][HTML] Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

E Not, D Petrelli - User Modeling and User-Adapted Interaction, 2019 - Springer
This paper presents an authoring environment, which supports cultural heritage
professionals in the process of creating and deploying a wide range of different …

Context awareness in cultural heritage applications: a survey

K Michalakis, G Caridakis - ACM Journal on Computing and Cultural …, 2022 - dl.acm.org
Cultural Heritage Institutions fueled by the advances in Information Technology are
exploiting new ways to present their content to visitors. The emergence of the Internet of …

Personalized news recommendation and simulation based on improved collaborative filtering algorithm

K Han - Complexity, 2020 - Wiley Online Library
Faced with massive amounts of online news, it is often difficult for the public to quickly locate
the news they are interested in. The personalized recommendation technology can dig out …

[HTML][HTML] A personalized heritage-oriented recommender system based on extended cultural tourist typologies

M Konstantakis, G Alexandridis… - Big Data and Cognitive …, 2020 - mdpi.com
Recent developments in digital technologies regarding the cultural heritage domain have
driven technological trends in comfortable and convenient traveling, by offering interactive …

[HTML][HTML] ACUX Typology: A Harmonisation of Cultural-Visitor Typologies for Multi-Profile Classification

M Konstantakis, Y Christodoulou, G Alexandridis… - Digital, 2022 - mdpi.com
The modern cultural industry and the related academic sectors have shown increased
interest in Cultural User eXperience (CUX) research, since it constitutes a critical factor to …

A cognition-centered personalization framework for cultural-heritage content

GE Raptis, C Fidas, C Katsini, N Avouris - User Modeling and User …, 2019 - Springer
The heterogeneity of the audience of cultural heritage institutions introduces numerous
challenges to the delivery of the content. Considering that people differ in the way they …