Privacy Preserving Collaborative Filtering by Fuzzy Co-clustering of Vertically Distributed Cooccurrence Data

Abstract

In order to achieve personalized recommendation by utilizing vertically distributed log data, individual records of the data sets must be summarized considering preservation of personal privacy. In this research, a privacy preserving fuzzy co-clustering algorithm is applied to real-world cooccurrence data and the applicability of the co-cluster structures in collaborative filtering is studied.