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A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles

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Book cover Database and Expert Systems Applications (Globe 2015, DEXA 2015)

Abstract

To support the efficient gathering of diverse information about a news event, we propose a diversity-seeking mobile news app on smart mobile devices. At first, by extending our previous work, based on the entity-oriented news analysis, we propose three measures for searching and ranking news articles from perspectives of difference in opinions, difference in details, and difference in factor coverages. Then, by utilizing these measures, we develop a news app on mobile devices to help users to acquire diverse reports for improving news understanding. One of the notable features of our system is a context-aware re-ranking method for enhancing the diversity of news reports presented to users by considering the access history. The experimental results demonstrate the efficiency of our methods.

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Notes

  1. 1.

    http://nlp.stanford.edu/software/dependenciesmanual.pdf

  2. 2.

    https://support.google.com/news/answer/2602970

  3. 3.

    http://www.crowdflower.com/

  4. 4.

    Notice the other nine news events have same scores.

References

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Acknowledgement

This work is partly supported by KAKENHI(No. 25700033) and SCAT Research Funding.

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Correspondence to Keisuke Kiritoshi or Qiang Ma .

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Kiritoshi, K., Ma, Q. (2015). A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds) Database and Expert Systems Applications. Globe DEXA 2015 2015. Lecture Notes in Computer Science(), vol 9262. Springer, Cham. https://doi.org/10.1007/978-3-319-22852-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-22852-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22851-8

  • Online ISBN: 978-3-319-22852-5

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