Title :
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
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 PADACΛ2, 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;
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
DOI :
10.1109/ICACT.2014.6778925
