ARTICLE | doi:10.20944/preprints202307.1393.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: large language models; recommender systems; GPT-4; context awareness; personalization; cultural heritage; museum
Online: 20 July 2023 (08:41:04 CEST)
This paper proposes the utilization of large language models as recommendations systems for museums. Since the aforementioned models lack the notion of context, they can’t work with temporal information that is often present in recommendations for cultural environments (e.g. special exhibitions or events). In this respect, the current work aims at enhancing the capabilities of large language models through a fine-tuning process that incorporates contextual information and user instructions. The resulting models are expected to be capable of providing personalized recommendations, aligned with user preferences and desires. More specifically, Generative Pre-trained Transformer 4, a knowledge-based large language model is fine-tuned and turned into a context-ware recommendation system, adapting its suggestions based on user input and specific contextual factors such as location, time of visit, and other relevant parameters. The effectiveness of the proposed approach is evaluated through certain user studies, which ensure an improved user experience and engagement within the museum environment.
TECHNICAL NOTE | doi:10.20944/preprints202307.1206.v1
Subject: Computer Science And Mathematics, Other Keywords: ACUX-R; graphical user interface; mobile application; cultural tourism; recommendation systems; visiting preferences; personalization
Online: 18 July 2023 (09:51:25 CEST)
This article presents the graphical user interface of the ACUX-R mobile recommendation system, tailored for the cultural tourism domain. ACUX-R offers personalized recommendations based on visiting preferences, augmenting the overall user experience. Building upon a comprehensive methodology and recommendation algorithms from previous work, this contribution focuses on the user interface aspects of the ACUX-R by highlighting key design considerations, user interface elements and functionalities that contribute to an effective and engaging user experience. In an effort to evaluate the proposed interface, an initial case study with a dataset consisting of points of interest from the City of Athens, Greece has been performed. In the framework of the aforementioned study, the proposed user interface attained high ratings with respect to inspiring, exciting, interesting, and enthusiastic user experiences.