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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Model for Preserving Privacy in Recommendation Systems
verfasst von : Luigi Troiano, Irene Díaz
Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Verlag: Springer International Publishing
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The problem of preserving privacy in recommendation systems is faced in this work. The approach presented reduces the study of privacy threats to the study of frequent property set obtained from the characteristics of the objects the recommendation system provides to a target user. This study is made by defining a prominence index for each item and by using efficient methods to explore the lattice of item characteristics.