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Privacy-preserving concepts for supporting recommendations in decentralized OSNs

Authors:

Marcel Heupel,

Simon Scerri,

Mohamed Bourimi,

Dogan KesdoganAuthors Info & Claims

MSM '13: Proceedings of the 4th International Workshop on Modeling Social Media

Article No.: 3, Pages 1 - 4

https://doi.org/10.1145/2463656.2463659

Published: 01 May 2013 Publication History

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Abstract

Recommender systems depend on the amount of available and processable information for a given purpose. Trends towards decentralized online social networks (OSNs), promising more user control by means of privacy preserving mechanisms, lead to new challenges for (social) recommender systems. Information, recommender algorithms rely on, is no longer available, (i.e. central user registries, friends of friends), thus shared data is reduced and centralized processing becomes difficult. In this paper we address such drawbacks based on identified needs in the decentralized OSN di.me and present concepts overcoming those for selected functionalities. Besides this, we tackle the support of privacy advisory, warning the user of risks when sharing data.

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Cited By

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Cai YZhang SXia HFan YZhang H(2020)A Privacy-Preserving Scheme for Interactive Messaging Over Online Social NetworksIEEE Internet of Things Journal10.1109/JIOT.2020.29863417:8(6817-6827)Online publication date: Aug-2020
https://doi.org/10.1109/JIOT.2020.2986341
Heupel MBourimi MKesdoğan D(2013)Trust and Privacy in the di.me UserwareProceedings, Part III, of the 15th International Conference on Human-Computer Interaction. Users and Contexts of Use - Volume 800610.5555/2959924.2959930(39-48)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.5555/2959924.2959930

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Privacy-preserving concepts for supporting recommendations in decentralized OSNs

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MSM '13: Proceedings of the 4th International Workshop on Modeling Social Media

May 2013

40 pages

ISBN:9781450320078

DOI:10.1145/2463656

Conference Chairs:
Martin Atzmueller
University of Kassel, Germany
,
Alvin Chin
Nokia, China
,
Christoph Trattner
Know-Center, TU Graz, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 May 2013

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HT '13

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SIGWEB

HT '13: 24th ACM Conference on Hypertext and Social Media

May 1, 2013

Paris, France

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MSM '13 Paper Acceptance Rate 3 of 12 submissions, 25%;

Overall Acceptance Rate 3 of 12 submissions, 25%

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Cai YZhang SXia HFan YZhang H(2020)A Privacy-Preserving Scheme for Interactive Messaging Over Online Social NetworksIEEE Internet of Things Journal10.1109/JIOT.2020.29863417:8(6817-6827)Online publication date: Aug-2020
https://doi.org/10.1109/JIOT.2020.2986341
Heupel MBourimi MKesdoğan D(2013)Trust and Privacy in the di.me UserwareProceedings, Part III, of the 15th International Conference on Human-Computer Interaction. Users and Contexts of Use - Volume 800610.5555/2959924.2959930(39-48)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.5555/2959924.2959930

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Towards Privacy-Preserving Content Sharing for Online Social Networks

Integrating multi-source user data to enhance privacy in social interaction

A Trust-Based Privacy-Preserving Friend Recommendation Scheme for Online Social Networks

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