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Privacy-preserving concepts for supporting recommendations in decentralized OSNs

Heupel, Marcel, Bourimi, Mohamed, Scerri, Simon and Kesdogan, Dogan (2013) Privacy-preserving concepts for supporting recommendations in decentralized OSNs. In: MSM '13 Proceedings of the 4th International Workshop on Modeling Social Media. ACM, New York. ISBN 978-1-4503-2007-8.

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Other URL: http://delivery.acm.org/10.1145/2470000/2463659/a3-heupel.pdf?ip=132.199.145.239&acc=ACTIVE%20SERVICE&key=986B26D8D17D60C88493B53F9FB7309C&CFID=220036551&CFTOKEN=92890312&__acm__=1369632952_f0b8be2698887ff487fbd7ff5f95fc77


Abstract

Recommender systems depend on the amount of available and processable information for a given purpose. Trends towards decentralized online social networks (OSNs), promising more user control by means of privacy preserving mechanisms, lead to new challenges for (social) recommender systems. Information, recommender algorithms rely on, is no longer available, (i.e. central user registries, friends ...

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Item type:Book section
Date:2013
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan)
Identification Number:
ValueType
10.1145/2463656.2463659DOI
Keywords:privacy and security, linking data, online social networks, decentralized social networks, di.me
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
300 Social sciences > 330 Economics
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Item ID:28271
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