Add to ORKGIn Peer-to-Peer (P2P) file sharing systems, peers spend a significant amount of time looking for relevant files. How-ever, the files available for download represent on one hand a rich collection and on the other hand a struggle for the peers to find files that they like. In this paper, we pro-pose “Asymmetric Peers ’ Similarity Based Recommenda-tion with File Popularity ” scheme that helps peers find and discover new and interesting files. To overcome the prob-lems of traditional collaborative filtering recommender sys-tems, an implicit rating approach is used. Simulation results confirm the effectiveness of the proposed scheme in provid-ing accurate recommendations.
Recommendation systems are important part of electronic commerce, where appropriate items are recomm...
Abstract. As the amount of information available to users continues to grow, filtering wanted items ...
Gossip-based peer-to-peer protocols proved to be very efficient for supporting dynamic and complex i...
In this paper we present a novel distributed recommendation method based on exchanging similar playl...
Peer-to-peer networks are becoming more and more popular to share information such as, for ex-ample,...
Abstract—Peer-to-peer file-sharing has been increasingly popular in the last decade. In most cases f...
Abstract-We focus on peer-to-peer (P2P) content recommenda-tion for on-line communities, where socia...
Despite the substantial literature on recommendation systems, there have been few studies in distri...
The validation of a recommender system is always a quite hazardous task, because of the difficulty o...
National audienceIn this paper, we propose P2Prec, a recommendation service for P2P content sharing ...
textabstractRecommendation systems are important in social networks that allow the injection of user...
"A thesis submitted in fulfilment for the degree of Doctor of Philosophy in the Department of Comput...
Despite the prevalence of collaborative filtering in recommendation systems, there has been little t...
Recommender systems are programs which attempt to predict items that a user may be interest in. Reco...
In this paper we examine an advanced collaborative filtering method that uses similarity transitivit...
Recommendation systems are important part of electronic commerce, where appropriate items are recomm...
Abstract. As the amount of information available to users continues to grow, filtering wanted items ...
Gossip-based peer-to-peer protocols proved to be very efficient for supporting dynamic and complex i...
In this paper we present a novel distributed recommendation method based on exchanging similar playl...
Peer-to-peer networks are becoming more and more popular to share information such as, for ex-ample,...
Abstract—Peer-to-peer file-sharing has been increasingly popular in the last decade. In most cases f...
Abstract-We focus on peer-to-peer (P2P) content recommenda-tion for on-line communities, where socia...
Despite the substantial literature on recommendation systems, there have been few studies in distri...
The validation of a recommender system is always a quite hazardous task, because of the difficulty o...
National audienceIn this paper, we propose P2Prec, a recommendation service for P2P content sharing ...
textabstractRecommendation systems are important in social networks that allow the injection of user...
"A thesis submitted in fulfilment for the degree of Doctor of Philosophy in the Department of Comput...
Despite the prevalence of collaborative filtering in recommendation systems, there has been little t...
Recommender systems are programs which attempt to predict items that a user may be interest in. Reco...
In this paper we examine an advanced collaborative filtering method that uses similarity transitivit...
Recommendation systems are important part of electronic commerce, where appropriate items are recomm...
Abstract. As the amount of information available to users continues to grow, filtering wanted items ...
Gossip-based peer-to-peer protocols proved to be very efficient for supporting dynamic and complex i...