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

@article{Majid2013ACP,
  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},
  year={2013},
  volume={27},
  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… 
View on Taylor & Francis
cs.stir.ac.uk
203 Citations
Highly Influential Citations
13
Background Citations
81
Methods Citations
30
Results Citations
2

203 Citations

Context-Aware Location Recommendation Using Geotagged Photos in Social Media
TLDR
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
TLDR
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.
Topic based context-aware travel recommendation method exploiting geotagged photos
Travel Recommendation Using Geo-tagged Photos in Social Media for Tourist
TLDR
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
TLDR
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
TLDR
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
TLDR
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
TLDR
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.
...
...

References

SHOWING 1-10 OF 35 REFERENCES
Diversified Trajectory Pattern Ranking in Geo-tagged Social Media
TLDR
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.
Mining interesting locations and travel sequences from GPS trajectories
TLDR
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
TLDR
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
TLDR
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
TLDR
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.
Using flickr geotags to predict user travel behaviour
TLDR
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.
How flickr helps us make sense of the world: context and content in community-contributed media collections
TLDR
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.
Using location for personalized POI recommendations in mobile environments
TLDR
This paper proposes an enhanced collaborative filtering solution that uses location as a key criterion for generating recommendations, and describes preliminary results that indicate the utility of such an approach.
Identifying points of interest by self-tuning clustering
TLDR
Spectral clustering is studied which is the first attempt for the POIs identification in geo-tagged photos and reinforcement which constructs the relationship over multiple sources by iterative learning is studied.
Placing flickr photos on a map
TLDR
Generic methods for placing photos uploaded to Flickr on the World map use the textual annotations provided by the users to predict the single most probable location where the image was taken to achieve at least twice the precision of the state-of-the-art reported in the literature.
...
...