Wei, Dong and Zhou, Tao and Cimini, Giulio and Wu, Pei and Liu, Weiping and Zhang, Yi-Cheng Effective mechanism for social recommendation of news. Physica A: Statistical Mechanics and its Applications, 390 (11). 2117 - 2126. ISSN 0378-4371 (2011)
|
PDF
- Submitted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
Recommender systems represent an important tool for news distribution on the Internet. In this work we modify a recently proposed social recommendation model in order to deal with no explicit ratings of users on news. The model consists of a network of users which continually adapts in order to achieve an efficient news traffic. To optimize the network’s topology we propose different stochastic algorithms that are scalable with respect to the network’s size. Agent-based simulations reveal the features and the performance of these algorithms. To overcome the resultant drawbacks of each method we introduce two improved algorithms and show that they can optimize the network’s topology almost as fast and effectively as other not-scalable methods that make use of much more information.
| Item Type: | Article |
|---|---|
| Identification Number: | 10.1016/j.physa.2011.02.005 |
| Uncontrolled Keywords: | Adaptive networks |
| Subjects: | Q Science > QC Physics |
| Research Area: | Economics and Institutional Change |
| Depositing User: | Caterina Tangheroni |
| Date Deposited: | 06 Nov 2015 11:01 |
| Last Modified: | 06 Nov 2015 11:01 |
| URI: | http://eprints.imtlucca.it/id/eprint/2840 |
Actions (login required)
 |
Edit Item |
