PADAC 2: Real-time news recommendation system with heterogeneous social footprints

Dong Yup Kang, Dong Kyun Han, Gyumin Sim, Jong Hyuk Jung, Hyun Ki-Jeon, Soobin Lee, Joonyoung Park, Seunghyeon Moon

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

1 Scopus citations

Abstract

Everyday in Korea, more than hundred thousands of News articles and postings are generated by either writers or users. Many people read News articles and write their opinions on the articles through major News portal systems such as Naver or Daum. However, they are sometimes time-consuming, biased, and distracted by unnecessary information. We propose a realtime News recommendation system called PADAC 2, that is more passive process for users to browse their interests from massive News media. We propose a recommendation algorithm called HeteRoCommender based on heterogeneous source of social footprints given.

Original languageEnglish (US)
Title of host publication16th International Conference on Advanced Communication Technology
Subtitle of host publicationContent Centric Network Innovation!, ICACT 2014 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages79-82
Number of pages4
ISBN (Print)9788996865032
DOIs
StatePublished - 2014
Externally publishedYes
Event16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - PyeongChang, Korea, Republic of
Duration: Feb 16 2014Feb 19 2014

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
ISSN (Print)1738-9445

Conference

Conference16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014
Country/TerritoryKorea, Republic of
CityPyeongChang
Period2/16/142/19/14

Keywords

  • Collaborative Filtering
  • Media Aggregation
  • News Recommendation
  • Social Evidence

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