Social Recommendations for Location-based Services

In: The 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI'12), Macao, December 2012, IEEE Press, S. 287 - 291, DOI: 10.1109/WI-IAT.2012.238

Link zur Publikation:
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6511898&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6511898

Abstract:

This paper introduces a preliminary approach and evaluation for a social recommendation mechanism for location-based services (LBS). Many approaches for recommending location-based services do not take into account other factors than spatial ones. This paper focuses on social interactions and a focused ranking method to support social recommendations. The qualitative and quantitative evaluation at the end of the paper demonstrates, that users find social recommendations more useful than the conventional ones.