| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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An Improved Adaptive model for Information Recommending and Spreading |
| CHEN Duan-Bing**,GAO Hui |
| Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731 |
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| Cite this article: |
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CHEN Duan-Bing, GAO Hui 2012 Chin. Phys. Lett. 29 048901 |
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Abstract People in the Internet era have to cope with information overload and expend great effort on finding what they need. Recent experiments indicate that recommendations based on users' past activities are usually less favored than those based on social relationships, and thus many researchers have proposed adaptive algorithms on social recommendation. However, in those methods, quite a number of users have little chance to recommend information, which might prevent valuable information from spreading. We present an improved algorithm that allows more users to have enough followers to spread information. Experimental results demonstrate that both recommendation precision and spreading effectiveness of our method can be improved significantly.
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Received: 09 December 2011
Published: 04 April 2012
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| PACS: |
89.75.Fb
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(Structures and organization in complex systems)
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89.65.Ef
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(Social organizations; anthropology ?)
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89.20.Ff
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(Computer science and technology)
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