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Intell. Syst. Technol."],"published-print":{"date-parts":[[2016,4]]},"abstract":"<jats:p>It is a necessary but challenging task to relieve users from the proliferative news information and allow them to quickly and comprehensively master the information of the whats and hows that are happening in the world every day. In this article, we develop a novel approach of multimedia news summarization for searching results on the Internet, which uncovers the underlying topics among query-related news information and threads the news events within each topic to generate a query-related brief overview. First, the hierarchical latent Dirichlet allocation (hLDA) model is introduced to discover the hierarchical topic structure from query-related news documents, and a new approach based on the weighted aggregation and max pooling is proposed to identify one representative news article for each topic. One representative image is also selected to visualize each topic as a complement to the text information. Given the representative documents selected for each topic, a time-bias maximum spanning tree (MST) algorithm is proposed to thread them into a coherent and compact summary of their parent topic. Finally, we design a friendly interface to present users with the hierarchical summarization of their required news information. Extensive experiments conducted on a large-scale news dataset collected from multiple news Web sites demonstrate the encouraging performance of the proposed solution for news summarization in news retrieval.<\/jats:p>","DOI":"10.1145\/2822907","type":"journal-article","created":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T20:37:54Z","timestamp":1454359074000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["Multimedia News Summarization in Search"],"prefix":"10.1145","volume":"7","author":[{"given":"Zechao","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}]},{"given":"Jinhui","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}]},{"given":"Xueming","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Hanqing","family":"Lu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2016,2]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1667053.1667056"},{"key":"e_1_2_1_2_1","first-page":"4","article-title":"Latent Dirichlet allocation","volume":"3","author":"Blei David M.","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/11.12.1110"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSC.2007.52"},{"volume-title":"Proceedings of the Annual Meeting of the Association for Computational Linguistics. 815--824","year":"2010","author":"Celikyilmaz Asli","key":"e_1_2_1_5_1"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/355541.355562"},{"key":"e_1_2_1_7_1","first-page":"1293","article-title":"Weighted aggregation based clustering algorithm for blog tag taxonomy construction","volume":"30","author":"Chen Yuanhao","year":"2009","journal-title":"Journal of Chinese Computer Systems"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1085"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03203157"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.04.008"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312649"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043612.2043613"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2198457"},{"volume-title":"Minium","year":"1999","author":"King Bruce M.","key":"e_1_2_1_14_1"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2483969.2483972"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2400461"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488732"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871464"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072317"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"volume-title":"Proceedings of the National Conference on Artificial Intelligence. 622--628","author":"Mani I.","key":"e_1_2_1_21_1"},{"key":"e_1_2_1_22_1","unstructured":"I. 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