Name
Abstract | ||
|---|---|---|
A recommender system can be used to suggest users potentially interesting content based on their previous consumption behavior. Such services already became common in centralized systems, such as Amazon, and approaches exist for decentralized recommender systems. However, common P2P recommender systems expose the userpsilas preferences in the whole system. This is not desirable if privacy is required.Realization of a recommender system in a private P2P environment is not a trivial task, since we cannot gather the user data at central servers or just spread them in the community. In this work we propose a private file sharing application based on social contacts. Instead of gathering all the information about users at one place the users exchange information only with their social contacts. We show how a personalized recommender system can be built in such an environment. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CISIS.2009.32 | Fukuoka |
Keywords | Field | DocType |
consumer behaviour,data privacy,information filtering,information filters,peer-to-peer computing,P2P recommender systems,consumption behavior,data privacy,decentralized recommender systems,peer-to-peer recommender system,privacy constraints,private file sharing application,social contacts,user preferences,peer-to-peer,privacy,recommender system,social networks | Recommender system,Competitive intelligence,Internet privacy,World Wide Web,Social network,Peer-to-peer,Computer science,Consumer behaviour,Server,File sharing,Information privacy | Conference |
ISBN | Citations | PageRank |
978-0-7695-3575-3 | 2 | 0.39 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantin Pussep | 1 | 195 | 13.86 |
| Sebastian Kaune | 2 | 214 | 12.93 |
| Jonas Flick | 3 | 2 | 0.39 |
| Ralf Steinmetz | 4 | 3685 | 478.76 |