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 …

Currently, tourism has become increasingly related to new technologies. In this context,
itinerary planning and trip recommendation are challenging tasks for tourists with different …

It is important to learn the characteristics of travelers and touristic regions when trying to
generate recommendations for destinations to users. In this work, we first present a data …

Tourism activities essentially represent the interaction between crowds and attractions.
Thus, crowd dynamics are critical to the quality of the tourism experience in personalized …

The main focus of recommender systems research has been recommending fitting items to
the users. However, in some domains, not only which item but also the quantity the target …

The involvement of geographic information differentiates point-of-interest recommendation
from traditional product recommendation. This geographic influence is usually manifested in …

Location-based social networks (LBSNs) are rich sources of studying travel mobility of
people. With more users sharing updates about their activities in LBSNs, there is a high …

Utilizing Location-based Social Media for Trip Mining and Recommendation Page 1 Utilizing
Location-based Social Media for Trip Mining and Recommendation Wolfgang Wörndl …

The data warehouse investments of online retail and media providers have made them
leaders in exploiting pattern-finding techniques which are revolutionising financial services …

In today's age of information, recommender systems have evolved to a must have feature for
many platforms, especially in the area of travel and tourism. Destination recommender …