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 development and popularity of social networks, an increasing number of consumers
prefer to order tourism products online, and like to share their experiences on social …

Recent years have witnessed an increased interest in recommender systems. Despite
significant progress in this field, there still remain numerous avenues to explore. Indeed, this …

Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align …

Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …

The proliferation of digital cameras and the growing practice of online photo sharing using
social media sites such as Flickr have resulted in huge volumes of geotagged photos …

The advance of GPS-enabled devices allows people to record their location histories with
GPS traces, which imply human behaviors and preferences related to travel. In this article …

Rapid growth of web and its applications has created a colossal importance for
recommender systems. Being applied in various domains, recommender systems were …

Mobile networks enable users to post on social media services (eg, Twitter) from anywhere.
The activities of mobile users involve three major entities: user, post, and location. The …

With the massive growth of the internet, a new paradigm of recommender systems (RS's) is
introduced in various real time applications. In the research for better RS's, especially in the …