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.
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Hu, P., Ji, D., Sun, C., Teng, C., Zhang, Y. (2011). Improving Document Summarization by Incorporating Social Contextual Information. In: Salem, M.V.M., Shaalan, K., Oroumchian, F., Shakery, A., Khelalfa, H. (eds) Information Retrieval Technology. AIRS 2011. Lecture Notes in Computer Science, vol 7097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25631-8_45
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DOI: https://doi.org/10.1007/978-3-642-25631-8_45
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