Towards Geosocial Recommender Systems

Graaff de, Victor and Keulen van, Maurice and By de, Rolf A. (2012) Towards Geosocial Recommender Systems. In: 4th International Workshop on Web Intelligence & Communities, WI&C 2012, 16 April 2012, Lyon, France.

PDF
Restricted to UT campus only: Request a copy
345Kb

Abstract:	The usage of social networks sites (SNSs), such as Facebook, and geosocial networks (GSNs), such as Foursquare, has increased tremendously over the past years. The willingness of users to share their current locations and experiences facilitate the creation of geographical recommender systems based on user generated content (UGC). This idea has been used to create a substantial amount of geosocial recommender systems (GRSs), such as Gogobot, TripIt, and Trippy already, but can be applied to more complex scenarios, such as the recommendation of products with a strong binding to their region, such as real estate or vacation destinations. This extended form of GRS development requires advanced functionality for information collection (from the web, other social media and sensors), information enrichment (such as data quality assessment and advanced data analysis), and personalized recommendations. The creation of a toolset to cope with these challenges is the goal of this research project, for which the outline is presented in this paper.
Item Type:	Conference or Workshop Item
Copyright:	© 2012 ACM
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB)
Link to this item:	http://purl.utwente.nl/publications/79877
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page