Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

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 …

Personalized itinerary recommendation is a complex and time-consuming problem, due to
the need to recommend popular attractions that are aligned to the interest preferences of a …

Personalized itinerary recommendation is a complicated and challenging task, which aims
to construct and recommend a visit sequence consists of multiple Points of Interest (POIs) …

Tourism is an important industry and a popular leisure activity involving billions of tourists
per annum. One challenging problem tourists face is identifying attractive Places-of-Interest …

Collaborative filtering (CF) is one of the most popular and commonly used recommendation
methods. Currently, most rating prediction CF methods select top-N recommendations …

Personalized itinerary recommendation has garnered wide research interests for their
ubiquitous applications. Recommending personalized itineraries is complex because of the …

The significance of tourism in the globe today is enormous since it is a major source of
income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable …