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Type | Journal Article |
Scope | Discipline-based scholarship |
Title | An information diffusion-based recommendation framework for micro-blogging |
Organization Unit | |
Authors |
|
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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Journal Title | Journal of the Association for Information Systems |
Publisher | Association for Information Systems |
Geographical Reach | international |
ISSN | 1536-9323 |
Volume | 12 |
Number | 7 |
Page Range | 463 - 486 |
Date | 2011 |
Abstract Text | 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. |
Official URL | http://aisel.aisnet.org/jais/vol12/iss7/2/ |
Other Identification Number | merlin-id:6373 |
PDF File | Download from ZORA |
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