The retrieval of important news stories by influence propagation among communities and categories

Yu Fan Lin, Hung-Yu Kao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, people receive information of the news stories not only from newspapers but also from online news websites. They search important news stories in order to know what happen today. However, it is hard to browse all the news stories published on a day. It is necessary to identify which news stories are more newsworthy on the specific day. In this paper, we investigate how to automatically identify the importance of news stories for different news categories on a specific day by utilizing the influence propagation among communities and news categories. In particular, we build an influence propagation model which consists of three features: category relevance, bloggers' attention and bursty influence. Based on this influence propagation model, we propose a Cross-Category Social Influence Propagation (C-SIP) approach for scoring the importance of news stories on a specific day. We evaluate our approach by using the judgment of Story Ranking Task in TREC 2010 Blog Track. The experiment shows our approach attains a prominent performance in the retrieval of important news stories and gets 9.94% improvement over the best performance of participating systems in TREC 2010 Blog Track.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Pages32-39
Number of pages8
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 - Macau, China
Duration: 2012 Dec 42012 Dec 7

Publication series

NameProceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012

Other

Other2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
CountryChina
CityMacau
Period12-12-0412-12-07

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Lin, Y. F., & Kao, H-Y. (2012). The retrieval of important news stories by influence propagation among communities and categories. In Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 (pp. 32-39). [6511862] (Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012). https://doi.org/10.1109/WI-IAT.2012.236
Lin, Yu Fan ; Kao, Hung-Yu. / The retrieval of important news stories by influence propagation among communities and categories. Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012. 2012. pp. 32-39 (Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012).
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Lin, YF & Kao, H-Y 2012, The retrieval of important news stories by influence propagation among communities and categories. in Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012., 6511862, Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012, pp. 32-39, 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012, Macau, China, 12-12-04. https://doi.org/10.1109/WI-IAT.2012.236

The retrieval of important news stories by influence propagation among communities and categories. / Lin, Yu Fan; Kao, Hung-Yu.

Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012. 2012. p. 32-39 6511862 (Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lin YF, Kao H-Y. The retrieval of important news stories by influence propagation among communities and categories. In Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012. 2012. p. 32-39. 6511862. (Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012). https://doi.org/10.1109/WI-IAT.2012.236