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Privacy-aware smart city: A case study in collaborative filtering recommender systems

  • Feng Zhang
  • , Victor E. Lee
  • , Ruoming Jin
  • , Saurabh Garg
  • , Kim-Kwang Raymond Choo
  • , Kim-Kwang Raymond Choo
  • , Michele Maasberg
  • , Michele Maasberg
  • , Lijun Dong
  • , Chi Cheng
  • China University of Geosciences
  • GraphSQL Inc., Mountain View, CA 94043, USA
  • Kent State University
  • University of Tasmania
  • University of Texas at San Antonio
  • University of South Australia

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)145-159
Number of pages15
JournalJournal of Parallel and Distributed Computing
Volume127
DOIs
StatePublished - May 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

ASJC Scopus Subject Areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Data privacy
  • Parallel computing
  • Privacy-preserving collaborative filtering
  • Recommendation systems
  • Smart cities

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