[HTML][HTML] Progress on image analytics: Implications for tourism and hospitality research
Despite the increased recognition of the importance of images as a rich data source, the full
potential of images to advance tourism and hospitality knowledge, both conceptually and …
potential of images to advance tourism and hospitality knowledge, both conceptually and …
Tour recommendation and trip planning using location-based social media: A survey
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 …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
Tourism recommendation system: A survey and future research directions
Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …
provide valuable suggestions to the user and are used in several domains. Social media …
Planning for tourism routes using social networks
Traveling recommendation systems have become very popular applications for organizing
and planning tourist trips. Among other challenges, these applications are faced with the …
and planning tourist trips. Among other challenges, these applications are faced with the …
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
[HTML][HTML] A survey on personalized itinerary recommendation: From optimisation to deep learning
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 …
generating nearly 10% of the world's GDP and employing around 9% of the global …
Tourist recommender systems based on emotion recognition—a scientometric review
Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …
considering users' preferences and emotional states in the fields of tourism, health, e …
Using volunteered geographic information and nighttime light remote sensing data to identify tourism areas of interest
Easy, economical, and near-real-time identification of tourism areas of interest is useful for
tourism planning and management. Numerous studies have been accomplished to analyze …
tourism planning and management. Numerous studies have been accomplished to analyze …
Characterizing geographical preferences of international tourists and the local influential factors in China using geo-tagged photos on social media
S Su, C Wan, Y Hu, Z Cai - Applied Geography, 2016 - Elsevier
Understanding the geographical preferences of international tourists is critical for the tourism
planning and marketing. However, it is not an easy endeavor to gather the corresponding …
planning and marketing. However, it is not an easy endeavor to gather the corresponding …
A novel Sequence-Aware personalized recommendation system based on multidimensional information
Due to the rapid growth of the information overload issue, recommender systems have
become necessary and are implemented in numerous facets of human life, including the …
become necessary and are implemented in numerous facets of human life, including the …