Towards a more reliable privacy-preserving recommender system-Reference-Cited by-同舟云学术

Towards a more reliable privacy-preserving recommender system

Published:2019-05 Issue: Volume:482 Page:248-265
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Jiang Jia-Yun,Li Cheng-Te^ORCID,Lin Shou-De

Funder

Academia Sinica

Ministerio de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference34 articles.

1. Performance analysis of a privacy constrained knn recommendation using data sketches;Afsharinejad,2018

2. Performance analysis of a privacy constrained knn recommendation using data sketches;Afsharinejad,2018

3. Privacy-preserving collaborative filtering on the cloud and practical implementation experiences;Basu,2013

4. The netflix prize;Bennett,2007

5. Applying differential privacy to matrix factorization;Berlioz,2015

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