False-Name-Proof Recommendations in Social Networks
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, w...
Main Authors: | , , , |
---|---|
Format: | Conference item |
Published: |
Association for Computing Machinery
2016
|