A Method for Providing Content and Service Recommendations Using Social Information from Telecommunications Networks

Social networks and community services are becoming an ever more popular phenomenon in the information society of today. The latest trend is also to utilize the information and collective wisdom that is created within these different types of social networks, in this paper we will show how information extracted from social networks can be used to derive recommendations and improve the user experience. We will show that different sources or type of social information enables different types of recommendations and the results of the evaluation will show an interesting conclusion of how social networks which utilize trust systems impact the recommendations that are given.