A method for providing content and service recommendations using social information from telecommunications networks
2011 (English)In: Proc. IEEE Int. Conf. Mobile Data Manage., 2011, 321-328 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2011. 321-328 p.
, Proceedings - IEEE International Conference on Mobile Data Management, ISSN 1551-6245 ; 1
Collaborative Filtering, Correlation, Recommendation Engines, Recommendations, Social Networks, Trust, Recommendation engine, Information management, Optical correlation, Social networking (online)
IdentifiersURN: urn:nbn:se:kth:diva-150665DOI: 10.1109/MDM.2011.79ScopusID: 2-s2.0-82055176213ISBN: 9780769544366OAI: oai:DiVA.org:kth-150665DiVA: diva2:745905
2011 12th IEEE International Conference on Mobile Data Management, MDM 2011, 6-9 June 2011, Luleå, Sweden
QC 201409112014-09-112014-09-082014-09-11Bibliographically approved