TY - JOUR
KW - Destination Image
KW - Deep Learning
KW - Natural Language Processing
KW - Destination Marketing Organization
KW - Scene Recognition
AU - Angel Diaz-Pacheco
AU - Miguel A. Álvarez-Carmona
AU - Ansel Y. Rodríguez-González
AU - Hugo Carlos
AU - Ramón Aranda
AB - Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources of information (uncontrolled sources) that could project an unfavorable image of the destination. Measuring differences between information sources would help design strategies to mitigate negative factors. In this way, we propose a deep learning-based approach to automatically measure the changes between images from controlled and uncontrolled information sources. Our approach exempts experts from the time-consuming task of assessing enormous quantities of pictures to track changes. To our best knowledge, this work is the first work that focuses on this issue using technological paradigms. Notwithstanding this, our approach paves novel pathways to acquire strategic insights that can be harnessed for the augmentation of destination development, the refinement of recommendation systems, the analysis of online travel reviews, and myriad other pertinent domains.
IS - In press
M1 - In press
N2 - Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources of information (uncontrolled sources) that could project an unfavorable image of the destination. Measuring differences between information sources would help design strategies to mitigate negative factors. In this way, we propose a deep learning-based approach to automatically measure the changes between images from controlled and uncontrolled information sources. Our approach exempts experts from the time-consuming task of assessing enormous quantities of pictures to track changes. To our best knowledge, this work is the first work that focuses on this issue using technological paradigms. Notwithstanding this, our approach paves novel pathways to acquire strategic insights that can be harnessed for the augmentation of destination development, the refinement of recommendation systems, the analysis of online travel reviews, and myriad other pertinent domains.
PY - 9998
SE - 1
SP - 1
EP - 14
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach
UR - https://www.ijimai.org/journal/sites/default/files/2023-10/ip2023_10_003_0.pdf
VL - In press
SN - 1989-1660
ER -