A context-aware personalized travel recommendation system based on geotagged social media data mining

  title={A context-aware personalized travel recommendation system based on geotagged social media data mining},
  author={Abdul Majid and Ling Chen and Gencai Chen and Hamid Turab Mirza and Ibrar Hussain and John Robert Woodward},
  journal={International Journal of Geographical Information Science},
  pages={662 - 684}
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 available on the Web. Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geotagged photos, we propose a new method for recommending tourist locations that are relevant to users (i.e., personalization) in the given context (i.e., context awareness). We… 
Context-Aware Location Recommendation Using Geotagged Photos in Social Media
Results of the evaluation with a publicly-available Flickr photo collection show that context-aware methods are able to provide a tourist with location recommendations matching his/her travel preferences and visiting context, and compared to other state-of-the-art methods, can provide tourists with significantly better recommendations.
Trip similarity computation for context-aware travel recommendation exploiting geotagged photos
  • Zhenxing Xu
  • Computer Science
    2014 IEEE 30th International Conference on Data Engineering Workshops
  • 2014
This paper proposes a method to make context-aware and trip similarity based travel recommendations by mining CCGPs, and obtains user-specific travel preferences from the travel history of user in one city, and uses these to recommend tourist locations in another city.
Travel Recommendation Using Geo-tagged Photos in Social Media for Tourist
The travel recommendation method according to tourist time capable to predict tourist location recommendation famous places or new places more precise and give better recommendation compare to state of art landmarks recommendation method and personalized travel method.
Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data
This work retrieved a geotagged photo collection from the public API for Flickr and fetched a large amount of other contextual information to rebuild a user's travel history and created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking.
Intelligent travel information platform based on location base services to predict user travel behavior from user-generated GPS traces
A new technique related to location travel for tourist by looking on to their time and preference needs is presented, which has been devised according to user needs and outperformed other previous travel and recommendation methods.
Travel Recommendation System Using Geotagged Photos
A travel recommendation system is proposed for tourists in Mumbai according to their preferences, weather and live events, which shows an average of 15% improvement in the accuracy with respect to the existing methods.
Road-based travel recommendation using geo-tagged images
Personalized Travel Path Recommendation Scheme on Social Media
In the recent times, a personalized travel path recommendation based on both travelogues and community contributed photos and the heterogeneous meta-data (tags, geographical locations, and date
Personalized Travel Sequence Recommendation on Multi-Source Big Social Media
A personalized travel sequence recommendation from both travelogues and community contributed photos and the heterogeneous metadata (e.g., tags, geo-location, and date taken) associated with these photos are presented.


Diversified Trajectory Pattern Ranking in Geo-tagged Social Media
This paper investigates how to rank the trajectory patterns mined from the uploaded photos with geotags and timestamps to reveal the collective wisdom recorded in the seemingly isolated photos and the individual travel sequences reflected by the geo-tagged photos.
An Outdoor Recommendation System based on User Location History
A novel real-world recommendation system, which makes recommendations of shops based on users’ past location data history, which uses a newly devised place learning algorithm, which can efficiently find Users’ frequented places, complete with their proper names.
Mining interesting locations and travel sequences from GPS trajectories
This work first model multiple individuals' location histories with a tree-based hierarchical graph (TBHG), and proposes a HITS (Hypertext Induced Topic Search)-based inference model, which regards an individual's access on a location as a directed link from the user to that location.
Collaborative location and activity recommendations with GPS history data
This paper shows that, by using the location data based on GPS and users' comments at various locations, it can discover interesting locations and possible activities that can be performed there for recommendations and extensively evaluated the system.
Deducing trip related information from flickr
This work deduces answers to questions like "how long does it take to visit a tourist attraction?" or "what can I visit in one day in this city?" by comparing the automatically obtained visit duration times to manual estimations.
Geographic information from georeferenced social media data
A simple model for geographic SAS data is presented, and the four social media elements, or main types of applications of SAS data to geographic information systems, are considered, which include boundary definition and detection; computation of attractions; derivation and recommendation of paths; and evaluation of activities, interests and temporal trends.
Social itinerary recommendation from user-generated digital trails
This paper presents an itinerary model in terms of attributes extracted from user-generated GPS trajectories, and presents a social itinerary recommendation framework to find and rank itinerary candidates and compares mobile-only approach with Mobile+Cloud architecture for practical mobile recommender deployment.
Using flickr geotags to predict user travel behaviour
It is shown that this method to predict a user's favourite locations in a city, based on his Flickr geotags in other cities, can give personalised travel recommendations for users with a clear preference for a specific type of landmark.
Photo2Trip: generating travel routes from geo-tagged photos for trip planning
This paper proposes to leverage existing travel clues recovered from 20 million geo-tagged photos collected from www.panoramio.com to suggest customized travel route plans according to users' preferences, and can provide a customized trip plan for a tourist.
How flickr helps us make sense of the world: context and content in community-contributed media collections
A location-tag-vision-based approach to retrieving images of geography-related landmarks and features from the Flickr dataset is demonstrated, suggesting that community-contributed media and annotation can enhance and improve access to multimedia resources - and the understanding of the world.