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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

Current Result Document : 16 / 31 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm
¿µ¹®Á¦¸ñ(English Title) Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm
ÀúÀÚ(Author) Dongkwon Lee   Daewon Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 13 NO. 10 PP. 4833 ~ 4848 (2019. 10)
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(Korean Abstract)
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(English 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.
Å°¿öµå(Keyword) News curation   Recommendation algorithm   Consumption time   Deep reading index   Kakao  
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