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Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm

Vol. 13, No. 10, October 30, 2019
10.3837/tiis.2019.10.001, Download Paper (Free):

Abstract

This paper introduces the structure and effects of Kakao’s news curation algorithm, which is created based on the Deep Reading Index (DRI). The DRI examines the extent of deep reading through content reading time, that is, the duration of reader engagement with an article. Current news curation algorithms focus on reader choice, with the click-through rate or pageviews as the gauge for consumption frequency. DRI is a product of the challenge of introducing and adopting a new factor called 'consumption time' instead of 'frequency of consumption', which is the basis of existing curation algorithms. The analysis of DRI-based services proves that the new algorithm can act as a curation system that is more effective in providing in-depth and quality news reports.


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Cite this article

[IEEE Style]
D. Lee and D. Kim, "Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm," KSII Transactions on Internet and Information Systems, vol. 13, no. 10, pp. 4833-4848, 2019. DOI: 10.3837/tiis.2019.10.001.

[ACM Style]
Dongkwon Lee and Daewon Kim. 2019. Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm. KSII Transactions on Internet and Information Systems, 13, 10, (2019), 4833-4848. DOI: 10.3837/tiis.2019.10.001.