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

Author

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

Author_Institution

KAIST Inst., Daejeon, South Korea

fYear

2014

fDate

16-19 Feb. 2014

Firstpage

79

Lastpage

82

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^Λ2, 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.

Keywords

information resources; recommender systems; HeteRoCommender; heterogeneous social footprints; heterogeneous source; massive news media; news articles; news portal systems; postings; real-time news recommendation system; recommendation algorithm; Collaboration; Communities; Facebook; Filtering; Media; Portals; Real-time systems; Collaborative Filtering; Media Aggregation; News Recommendation; Social Evidence;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology (ICACT), 2014 16th International Conference on

Conference_Location

Pyeongchang

Print_ISBN

978-89-968650-2-5

Type

conf

DOI

10.1109/ICACT.2014.6778925

Filename

6778925