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SIGIR
2011
ACM

Social context summarization

7 years 9 months ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard documents. With the rapid growth of online social networks, abundant user generated content (e.g., comments) associated with the standard documents is available. Which parts in a document are social users really caring about? How can we generate summaries for standard documents by considering both the informativeness of sentences and interests of social users? This paper explores such an approach by modeling Web documents and social contexts into a unified framework. We propose a dual wing factor graph (DWFG) model, which utilizes the mutual reinforcement between Web documents and their associated social contexts to generate summaries. An efficient algorithm is designed to learn the proposed factor graph model. Experimental results on a Twitter data set validate the effectiveness of the proposed model. By leverag...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SIGIR
Authors Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, Juanzi Li
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