@inproceedings{e391f07333a34300b9043eb60d884bf1,
title = "PADAC 2: Real-time news recommendation system with heterogeneous social footprints",
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.",
keywords = "Collaborative Filtering, Media Aggregation, News Recommendation, Social Evidence",
author = "Kang, {Dong Yup} and Han, {Dong Kyun} and Gyumin Sim and Jung, {Jong Hyuk} and Hyun Ki-Jeon and Soobin Lee and Joonyoung Park and Seunghyeon Moon",
year = "2014",
doi = "10.1109/ICACT.2014.6778925",
language = "English (US)",
isbn = "9788996865032",
series = "International Conference on Advanced Communication Technology, ICACT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "79--82",
booktitle = "16th International Conference on Advanced Communication Technology",
note = "16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 ; Conference date: 16-02-2014 Through 19-02-2014",
}