Privacy preserving cooperative computation for personalized web search applications

Kaaniche, N. orcid.org/0000-0002-1045-6445, Masmoudi, S., Znina, S. et al. (2 more authors) (2020) Privacy preserving cooperative computation for personalized web search applications. In: Proceedings of the 35th ACM/SIGAPP Symposium on Applied Computing (SAC2020). The 35th ACM/SIGAPP Symposium on Applied Computing (SAC '20), 30 Mar - 03 Apr 2020, Brno, Czech Republic. ACM Digital Library , pp. 250-258. ISBN 9781450368667

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Copyright, Publisher and Additional Information: © 2020 Association for Computing Machinery. This is an author-produced version of a paper subsequently published in SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: privacy; web search engines; personalized services; collaborative computation; decentralized architectures; Interest-based networks
Dates:
  • Accepted: 28 November 2019
  • Published (online): March 2020
  • Published: March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 Dec 2019 10:25
Last Modified: 06 May 2020 10:12
Status: Published online
Publisher: ACM Digital Library
Refereed: Yes
Identification Number: https://doi.org/10.1145/3341105.3373947
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