Publications in Scientific Journals:

H. Huang:
"Context-Aware Location Recommendation Using Geotagged Photos in Social Media";
ISPRS International Journal of Geo-Information, 11 (2016), 195 - 213.

English abstract:
Recently, the increasing availability of digital cameras and the rapid advances in social media have led to the accumulation of a large number of geotagged photos, which may reflect peopleīs
travel experiences in different cities and can be used to generate location recommendations for tourists.
Research on this aspect mainly focused on providing personalized recommendations matching a touristīs travel preferences, while ignoring the context of the visit (e.g., weather, season and time
of the day) that potentially influences his/her travel behavior. This article explores context-aware methods to provide location recommendations matching a touristīs travel preferences and visiting
context. Specifically, we apply clustering methods to detect touristic locations and extract travel histories from geotagged photos on Flickr. We then propose a novel context similarity measure to quantify the similarity between any two contexts and develop three context-aware collaborative filtering methods, i.e., contextual pre-filtering, post-filtering and modeling. With these methods,
location recommendations like "in similar contexts, other tourists similar to you often visited . . . " can be provided to the current user. Results of the evaluation with a publicly-available Flickr photo
collection show that these methods are able to provide a tourist with location recommendations matching his/her travel preferences and visiting context. More importantly, compared to other state-of-the-art methods, the proposed methods, which employ the introduced context similarity measure, can provide tourists with significantly better recommendations. While Flickr data have been used in this study, these context-aware collaborative filtering (CaCF) methods can also be extended for other kinds of travel histories, such as GPS trajectories and Foursquare check-ins, to provide context-aware recommendations.

geotagged photo; location recommendation; context-aware recommendation; collaborative filtering

Created from the Publication Database of the Vienna University of Technology.