KMS Chongqing Institute of Green and Intelligent Technology, CAS
| A generalized model via random walks for information filtering | |
| Ren, Zhuo-Ming1,2; Kong, Yixiu1; Shang, Ming-Shang2; Zhang, Yi-Cheng1 | |
| 2016-08-06 | |
| 摘要 | There could exist a simple general mechanism lurking beneath collaborative filtering and interdisciplinary physics approaches which have been successfully applied to online E-commerce platforms. Motivated by this idea, we propose a generalized model employing the dynamics of the random walk in the bipartite networks. Taking into account the degree information, the proposed generalized model could deduce the collaborative filtering, interdisciplinary physics approaches and even the enormous expansion of them. Furthermore, we analyze the generalized model with single and hybrid of degree information on the process of random walk in bipartite networks, and propose a possible strategy by using the hybrid degree information for different popular objects to toward promising precision of the recommendation. (C) 2016 Elsevier B.V. All rights reserved. |
| 关键词 | Information filtering Recommendations Random walk |
| DOI | 10.1016/j.physleta.2016.06.009 |
| 发表期刊 | PHYSICS LETTERS A
 |
| ISSN | 0375-9601 |
| 卷号 | 380期号:34页码:2608-2614 |
| 收录类别 | SCI |
| WOS记录号 | WOS:000380078200004 |
| 语种 | 英语 |
