An Information Diffusion-Based Recommendation Framework for Micro-Blogging

作者：Cheng Jiesi^*; Sun Aaron; Hu Daning; Zeng Daniel

来源：Journal of the Association for Information Systems, 2011, 12(7): 463-486.

• Micro-blogging
• Recommender System
• Information Diffusion

Micro-blogging is increasingly evolving from a daily chatting tool into a critical platform for individuals and organizations to seek and share real-time news updates during emergencies. However, seeking and extracting useful information from micro-blogging sites poses significant challenges due to the volume of the traffic and the presence of a large body of irrelevant personal messages and spam. In this paper, we propose a novel recommendation framework to overcome this problem. By analyzing information diffusion patterns among a large set of micro-blogs that play the role of emergency news providers, our approach selects a small subset as recommended emergency news feeds for regular users. We evaluate our diffusion-based recommendation framework on Twitter during the early outbreak of H1N1 Flu. The evaluation results show that our method results in more balanced and comprehensive recommendations compared to benchmark approaches.

• 出版日期2011