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Topic-focused multi-document summarization aims to produce a summary biased to a given topic or user profile. This paper presents a novel extractive approach based on manifold-ranking of sentences to this summarization task. The manifold-ranking process can naturally make full use of both the relationships among all the sentences in the documents and the relationships between the given topic and the sentences. The ranking score is obtained for each sentence in the manifold-ranking process todoi:10.1145/1645953.1646184 dblp:conf/cikm/Wan09 fatcat:hgsvn4lsajht5l5k74mfo3jgdq