Design of a P2P content recommendation system using affinity networks

作者：Vera del Campo Juan^*; Pegueroles Josep; Hernandez Serrano Juan; Soriano Miguel

来源：Computer Communications, 2012, 36(1): 90-104.

DOI：10.1016/j.comcom.2012.07.018

• Recommendation systems
• Social networks
• Semantic searches
• Affinity networks
• SoftDHT

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%26apos;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.

• 出版日期2012-12-1