The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
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
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Lightweight probabilistic broadcast
ACM Transactions on Computer Systems (TOCS)
Epidemic-Style Proactive Aggregation in Large Overlay Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
SWAM: a family of access methods for similarity-search in peer-to-peer data networks
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Tell me who I am: an interactive recommendation system
Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
ACM Transactions on Computer Systems (TOCS)
Characterizing the value of personalizing search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web
Information Processing and Management: an International Journal
Improved recommendation based on collaborative tagging behaviors
Proceedings of the 13th international conference on Intelligent user interfaces
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Efficient top-k querying over social-tagging networks
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
A random walk method for alleviating the sparsity problem in collaborative filtering
Proceedings of the 2008 ACM conference on Recommender systems
Speed up semantic search in p2p networks
Proceedings of the 17th ACM conference on Information and knowledge management
Tag data and personalized information retrieval
Proceedings of the 2008 ACM workshop on Search in social media
Semantic Web Services: Theory, Tools and Applications
Semantic Web Services: Theory, Tools and Applications
Communications of the ACM - A Blind Person's Interaction with Technology
Adaptive Approximate Similarity Searching through Metric Social Networks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Self Organizing Semantic Topologies in P2P Data Integration Systems
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Toward personalized peer-to-peer top-k processing
Proceedings of the Second ACM EuroSys Workshop on Social Network Systems
Toward personalized query expansion
Proceedings of the Second ACM EuroSys Workshop on Social Network Systems
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Epidemic-Style management of semantic overlays for content-based searching
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
T-Man: gossip-based overlay topology management
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Overlay management for fully distributed user-based collaborative filtering
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
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Social networks and collaborative tagging systems have taken off at an unexpected scale and speed (Facebook, YouTube, Flickr, Last.fm, Delicious, etc). Web content is now generated by you, me, our friends and millions of others. This represents a revolution in usage and a great opportunity to leverage collaborative knowledge to enhance the user's Internet experience. The Gossple project aims at precisely achieving this: automatically capturing affinities between users that are potentially unknown yet share similar interests, or exhibiting similar behaviors on the Web. This fully personalizes the search process, increasing the ability of a user to find relevant content. This personalization calls for decentralization. (1) Centralized servers might dissuade users from generating new content for they expose their privacy and represent a single point of attack. (2) The amount of information to store grows exponentially with the size of the system and centralized systems cannot sustain storing a growing amount of data at a user granularity. We believe that the salvation can only come from a fully decentralized user centric approach where every participant is entrusted to harvest the Web with information relevant to her own activity. This poses a number of scientific challenges: How to discover similar users, how to define the relevant metrics for such personalization, how to preserve privacy when needed, how to deal with free-riders and misheavior and how to manage efficiently a growing amount of data.