Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.comcom.2012.07.018 | Computer Communications |
Keywords | DocType | Volume |
social network,affinity network,fast organization,epidemic routing,efficient document recommender system,high recall ratio,p2p content recommendation system,softdht structure,proposed system,efficient document location,hot topic,common vector space,recommendation systems,social networks | Journal | 36 |
Issue | ISSN | Citations |
1 | 0140-3664 | 3 |
PageRank | References | Authors |
0.64 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Vera Del Campo | 1 | 12 | 3.19 |
| Josep Pegueroles | 2 | 65 | 9.91 |
| Juan Hernández-Serrano | 3 | 114 | 12.31 |
| Miguel Soriano | 4 | 286 | 38.26 |