The recommendation process is divided into several steps: User u selects a subset of friends to contribute in the recommendation. User u sends separated requests to the selected friends. Each friend v that receives the request applies locally collaborative filtering to select a set of publications to recommend.
Mar 29, 2021
To deal with the image recommending problems in P2P systems, this paper proposes a PeerCF-CB (Peer oriented Collaborative Filtering recommendation ...
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A PeerCF-CB (Peer oriented Collaborative Filtering recommendation methodology using Contents-Based filtering) that uses recent ratings of peers to adopt a ...
Abstract. To deal with the image recommending problems in P2P sys- tems, this paper proposes a PeerCF-CB (Peer oriented Collaborative. Filtering ...
In this paper, we propose a new recommender system called P2PCF. We use collaborative filtering approach to recommend content in P2P social networks. P2PCF ...
PeerCF-CB uses recent ratings of peers to adopt a change in peer preferences, and searches for nearest peers with similar preference through peer-based local ...
Jan 13, 2024 · This paper proposes a distributed collaborative filtering architecture based on peer-to-peer networks, because of its advantage of scalability ...
May 28, 2013 · Abstract: Almost all collaborative filtering recommendation systems based on C/S mode have to face the problems.
In this paper a P2P-based hybrid collaborative filtering mechanism for the support of combining user-based and item attribute-based ratings is considered. We ...
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This paper proposes a fully distributed collaborative filtering method that is self-organizing and operates in a distributed way and is therefore a ...