The tourism sector represents an opportunity for economic growth in countries with tourism
potential. However, new trends in global tourism require efficiency in tourism supply chain …

Human motivations are an important factor in influencing human movement. However, most
existing studies on passenger travel demand prediction focus on external characteristics of …

Instagram is a critical tool for the selection of tourism destinations. Instagram travel
influencers seem to play a significant role in this process, often using geo-location data to …

To effectively fuse speech and visual features, this letter proposes a multi-modal emotion
recognition method by fusing correlation features of speech-visual. Firstly, speech and visual …

The fast development of machine learning and artificial intelligence has led to a great
improvement of the smart tourism recommendation system, however many problems …

The main objective of Personalized Tour Recommendation (PTR) is to generate a sequence
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …

Personalized tourist route planning (TRP) and navigation are online or real-time
applications whose mathematical modeling leads to complex optimization problems. These …

Tourism is one of the fastest-growing sectors in the world with a shift from mass tourism to
personalized travel. Nevertheless, it generates significant environmental impacts. The …

The tourism industry is a significant contributor to the global economy, responsible for
generating nearly 10% of the world's GDP and employing around 9% of the global …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …