Título: Extracting Feeling and Life-Style Semantics from Hotel Images Using Colour Harmony

Autor(es): BUENAÑO ALLAUCA MONICA PATRICIA, LLEDÓ MUSEROS, ISMAEL SANZ, LUIS GONZÁLEZ-ABRIL, ZOE FALOMIR

Fecha de publicación: 25-oct-2019

Resumen: An application of a cognitively inspired qualitative colour theory, QCharm, which is able to construct harmonic colour palettes based on a model for qualitative colour description (QCD) is presented in this paper. Using Kobayashi’s colour space, cognitive keywords representing a feeling or a lifestyle can be assigned to QCharm harmonic-colour palettes. Moreover, using COLOURlovers dataset for learning, the QCharm colour palettes can be rated representing users’ preferences. In this paper, QCharm is applied to hotel images (extracted from ImageNet (ImageNet: unmapped: uri http://image-net.org/) image database) as a basis to create a recommender system of hotel marketing materials. The future recommender system is intended to be used to rise the impact of the marketing materials among prospective tourists and then improve the touristic image of the hotel. Furthermore, by adding other cognitive aspects (as a style of life for instance) the system can be used to design customized materials for different types of clients.

Palabras clave: cognitive image, colour names, sentiment analysis, touristic image, tourism marketing, recommender system, data science, preferences, machine learning.

DOI: https://doi.org/10.3233/FAIA190145

ISSN: 09226389

Tipo publicación: Artículo