Many tourism recommender systems have been studied to offer users the items meeting
their interests. However, it is a non-trivial task to reflect the multi-criteria ratings and the …

Semantic trajectory analytics and personalised recommender systems that enhance user
experience are modern research topics that are increasingly getting attention. Semantic …

Recommender systems (RSs) are personalized information search and discovery
applications helping users to identify and choose useful items and information. In this paper …

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 …

Nowadays, the speedy increasing information in tourism services since a massive amount of
data is constructed by tourists experiences. The recommendation systems are widely …

Recommender systems have gained increasing attention to personalize consumer
preferences. While these systems have primarily focused on applications such as …

Abstract The Baekje Muryeong royal tomb is located in Gongju City, Republic of Korea. It is
unearthed in its entirety and can confirm accurate information. Various artifacts such as …

AI-based educational technology (AI-EdTech) is increasingly adopted in K-12 education.
Teachers play a critical role in this process as they are expected to use AI-EdTech in ways …

This concept paper presents our viewpoint regarding the exploitation of cutting-edge
technologies for the delivery of smart tourism cultural tours. Specifically, the paper reports …

In music recommender systems, automatic playlist continuation is an emerging task that
aims to improve users' listening experience by recommending music in line with their …