Bipartite network projection and personal recommendation
✍ Scribed by Zhou, Tao; Ren, Jie; Medo, Matúš; Zhang, Yi-Cheng
- Book ID
- 115473074
- Publisher
- The American Physical Society
- Year
- 2007
- Tongue
- English
- Weight
- 222 KB
- Volume
- 76
- Category
- Article
- ISSN
- 1063-651X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In this paper, we present a recommendation algorithm based on the resource-allocation progresses on bipartite networks. In this model, each node is assigned an attraction that is proportional to the power of its degree, where the exponent β is an adjustable parameter that controls the configuration
In this paper, we introduce a modified collaborative filtering (MCF) algorithm, which has remarkably higher accuracy than the standard collaborative filtering. In the MCF, instead of the cosine similarity index, the user-user correlations are obtained by a diffusion process. Furthermore, by consider