A survey on personality-aware recommendation systems

S Dhelim, N Aung, MA Bouras, H Ning… - Artificial Intelligence …, 2022 - Springer
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

Psychology-informed recommender systems

E Lex, D Kowald, P Seitlinger, TNT Tran… - … and trends® in …, 2021 - nowpublishers.com
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …

Compliance of accessibility in tourism websites: a pledge towards disability

R Singh, A Ismail, S PS, D Singh - Journal of Hospitality and Tourism …, 2021 - emerald.com
Purpose The purpose of this paper is to analyse the US states and territories' official tourism
information websites based on the Web Content Accessibility Guideline (WCAG) and …

[PDF][PDF] Using sentiment text analysis of user reviews in social media for e-tourism mobile recommender systems.

O Artemenko, V Pasichnyk, N Kunanets, K Shunevych - COLINS, 2020 - ceur-ws.org
This paper describes main modern tendencies for the design and development of e-tourism
recommender systems with sentiment analysis of user generated content in social media …

Incorporación de las TIC en la promoción de destinos turísticos: una revisión sistemática

R Bartra-Rategui, LPP Tuanama… - Región …, 2024 - rc.cienciasas.org
Las tecnologías de información y comunicación (tic) son una herramienta sustancial para la
promoción de los destinos turísticos, usados con el objetivo de obtener una ventaja …

Vectorize me! A proposed machine learning approach for segmenting the multi-optional tourist

R Egger - Journal of Travel Research, 2024 - journals.sagepub.com
Contemporary consumer behavior is characterized by its multidimensionality and
complexity, which, at the same time, pushes traditional segmentation approaches to their …

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 …

The portrayal of Greenland: a visual analysis of its digital storytelling

F Fusté-Forné - Current Issues in Tourism, 2022 - Taylor & Francis
The study of the relationships between tourism and social media is critical for destination
management and marketing. Drawing from a visual methodology, this research analyses the …

Point-of-interest lists and their potential in recommendation systems

G Stamatelatos, G Drosatos, S Gyftopoulos… - … Technology & Tourism, 2021 - Springer
Location based social networks, such as Foursquare and Yelp, have inspired the
development of novel recommendation systems due to the massive volume and multiple …

[PDF][PDF] Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization.

LW Dietz, S Myftija, W Wörndl - RecTour@ RecSys, 2019 - ec.tuwien.ac.at
Recommending complex, intangible items in a domain with high consequences, such as
destinations for traveling, requires additional care when deriving and confronting the users …