Improving document summarization by incorporating social contextual information

Authors:
Po Hu;Donghong Ji;Cheng Sun;Chong Teng;Yong Zhang
Affiliations:
Computer School, Wuhan University, China;Computer School, Wuhan University, China;Computer School, Wuhan University, China;Computer School, Wuhan University, China;Computer School, Wuhan University, China
Venue:
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Year:
2011

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Abstract

We propose a collaborative approach to improve document summarization by incorporating social contextual information into the sentence ranking process. Both the relationships between sentences from document context and the preference information from user context are investigated in the approach. We validate our method on a social tagging dataset and experimentally demonstrate that by incorporating social contextual information it obtains significant improvement over several baseline methods.