GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
OceanStore: an architecture for global-scale persistent storage
ACM SIGPLAN Notices
Freenet: a distributed anonymous information storage and retrieval system
International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Kademlia: A Peer-to-Peer Information System Based on the XOR Metric
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
IEEE Internet Computing
Fuzzy logic methods in recommender systems
Fuzzy Sets and Systems - Theme: Multicriteria decision
Small Worlds: The Dynamics of Networks between Order and Randomness
Small Worlds: The Dynamics of Networks between Order and Randomness
Semantic Small World: An Overlay Network for Peer-to-Peer Search
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Finding Rare Data Objects in P2P File-Sharing Systems
P2P '05 Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing
Evaluating peer-to-peer recommender systems that exploit spontaneous affinities
Proceedings of the 2007 ACM symposium on Applied computing
Proceedings of the 16th international symposium on High performance distributed computing
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems
Proceedings of the 2007 ACM conference on Recommender systems
TRIBLER: a social-based peer-to-peer system: Research Articles
Concurrency and Computation: Practice & Experience - Recent Advances in Peer-to-Peer Systems and Security (P2P 2006)
Managing peer-to-peer networks with human tactics in social interactions
The Journal of Supercomputing
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks
Proceedings of the 2008 ACM conference on Recommender systems
Making SENSE: socially enhanced search and exploration
Proceedings of the VLDB Endowment
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
A flexible and robust lookup algorithm for P2P systems
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Ontology mapping: an information retrieval and interactive activation network based approach
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
On the design of resilient heterogeneous wireless sensor networks based on small world concepts
Computer Networks: The International Journal of Computer and Telecommunications Networking
A fuzzy recommender system for eElections
EGOVIS'10 Proceedings of the First international conference on Electronic government and the information systems perspective
Personalized DTV program recommendation system under a cloud computing environment
IEEE Transactions on Consumer Electronics
DocCloud: A document recommender system on cloud computing with plausible deniability
Information Sciences: an International Journal
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The success and intensive use of social networks makes strategies for efficient document location a hot topic of research. In this paper, we propose a common vector space to describe documents and users to create a social network based on affinities, and explore epidemic routing to recommend documents according to the user's interests. Furthermore, we propose the creation of a SoftDHT structure to improve the recommendation results. Using these mechanisms, an efficient document recommender system with a fast organization of clusters of users based on their affinity can be provided, preventing the creation of unlinked communities. We show through simulations that the proposed system has a short convergence time and presents a high recall ratio.