In the mobile network, user can share their trip stories at any time and place, the massive
user data can provides an opportunity to mining users' travel preferences. Tourism …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. How to effectively mine the user's travel mode and visit preferences based …

A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …

With the rapid development of mobile internet and explosion of online travel information,
tourists are overwhelmed by the massive amount of complicated and unstructured data from …

Itinerary planning is one of the most important tasks in tourism. A well-planned itinerary
enhances the tourist experience and their visit satisfaction in new cities. However, the task of …

Recommendation system is one of the effective ways to solve the problem of information
overload. Compared with other recommendation systems, there are data sparsity and cold …

Personalization of recommender systems enables customized services to users. Social
media is one resource that aids personalization. This study explores the use of twitter data to …

The recommendation system is one of popular machine learning algorithms and has been
widely used in areas, especially e-commerce platforms. There are many tourist cities in …

The main task of recommender systems is to recommend items or any other information
which the particular user is interested in accurately and efficiently. However, traditional …

We proposed in a previous work a recommendation system that, according to the
requirements specified by its users, was capable of generating a few travel itineraries of …