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False-Name-Proof Recommendations in Social Networks

Abstract:

We study the problem of finding a recommendation for an uninformed user in a social network by weighting and aggregating the opinions offered by the informed users in the network. In social networks, an informed user may try to manipulate the recommendation by performing a false-name manipulation, wherein the user submits multiple opinions through fake accounts. To that end, we impose a no harm axiom: false-name manipulations by a user should not reduce the weight of other users in the networ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Publication date:
2016-05-09
ISSN:
1558-2914
URN:
uuid:56f6af93-a140-4aba-8d77-3060be2868cf
Source identifiers:
600069
Local pid:
pubs:600069

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