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Link to original content: https://doi.org/10.5220/0005376905320542
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Authors: Alexander Smirnov 1 and Andrew Ponomarev 2

Affiliations: 1 St. Petersburg Institute for Informatics and Automation of the RAS and ITMO University, Russian Federation ; 2 St. Petersburg Institute for Informatics and Automation of the RAS, Russian Federation

Keyword(s): Distributed Collaborative Filtering, Recommendation Systems, Locality-Sensitive Hashing, Peer-to-Peer, Anonymization, Privacy.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Electronic Commerce ; Enterprise Information Systems ; Human Factors ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Physiological Computing Systems ; Software Agents and Internet Computing ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Recommendation systems are widely used to mitigate the information overflow peculiar to current life. Most of the modern recommendation system approaches are centralized. Although the centralized recommendations have some significant advantages they also bear two primary disadvantages: the necessity for users to share their preferences and a single point of failure. In this paper, an architecture of a collaborative peer-to-peer recommendation system with limited preferences’ disclosure is proposed. Privacy in the proposed design is provided by the fact that exact user preferences are never shared together with the user identity. To achieve that, the proposed architecture employs a locality-sensitive hashing of user preferences and an anonymized distributed hash table approach to peer-to-peer design.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Smirnov, A. and Ponomarev, A. (2015). Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture - Locality-Sensitive Hashing in Structured Overlay Network. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-097-0; ISSN 2184-4992, SciTePress, pages 532-542. DOI: 10.5220/0005376905320542

@conference{iceis15,
author={Alexander Smirnov and Andrew Ponomarev},
title={Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture - Locality-Sensitive Hashing in Structured Overlay Network},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2015},
pages={532-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005376905320542},
isbn={978-989-758-097-0},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture - Locality-Sensitive Hashing in Structured Overlay Network
SN - 978-989-758-097-0
IS - 2184-4992
AU - Smirnov, A.
AU - Ponomarev, A.
PY - 2015
SP - 532
EP - 542
DO - 10.5220/0005376905320542
PB - SciTePress

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