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 sys...
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.
Citation
Juan Vera del Campo [et al.]. Design of a P2P content recommendation system using affinity networks. "Computer communications", Agost 2012.
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