DOI QR코드

DOI QR Code

Development of Real Time Information Service Model Using Smart Phone Lock Screen

스마트 폰 잠금 화면을 통한 실시간 정보제공 서비스 모델의 개발

  • 오성진 (건국대학교 정보통신대학교 인터넷미디어공학부) ;
  • 장진욱 (건국대학교 정보통신대학교 인터넷미디어공학부)
  • Received : 2014.07.22
  • Accepted : 2014.08.25
  • Published : 2014.09.30

Abstract

This research is based on real-time service model that uses lock screen of smart devices which is mostly exposed to device users. The potential for lock screen space is immense due to their exposing time for user. The effect can be maximized by offering useful information contents on lock screen. This service model offers real-time keyword with abridged sentence. They match real-time keyword with news by using text matching algorithm and extracts kernel sentence from news to provide short sentence to user. News from the lock screen to match real-time query sentence, and then only to the original core of the ability to move a user evaluation was conducted after adding. The report provided a key statement users feel the lack of original Not if you go to an average of 5.71%. Most algorithms allow only real-time zoom key sentence extracted keywords can accurately determine the reason for that was confirmed.

Keywords

References

  1. Abrol, S. and L. Khan, "Twinner : Understanding News Queries with Geo-contents using Twitter", Proc. of the 6th workshop on Geographic Infomation Retrival, 2010.
  2. An, I.-S., "A User Timeline Summarization Technique using TextRank Algorithm", KIISE, Vol.39, No.4, 2012.
  3. Brin, S. and L. Page, "The Anatomy of a Largescale Hypertextual Web Search Engine", Computer Net-works and ISDN Systems, 1998.
  4. DMC, "Effects of Rewards app marketing and Market Report", 2013.
  5. http://eunjeon.blogspot.kr/2013/02/.
  6. Kleinberg, J., "Authoritative Sources in a Hyperlinked Environment", Journal of the ACM, 1999.
  7. Kwak, H., C. Lee, H. Park, and S. Moon, "What is Twitter, a Social Network or a News Media?", Proc. of the 19th International World Wide Web Conference, 2010.
  8. O'Connor, B., M. Krieger, and D. Ahn, "Tweet Motif : Exploratory Search and Topic Summarization for Twitter", Proc. of the International AAAI Conference on Weblogs and Social Media, 2010.
  9. Sankaranarayanan, J., H. Samet, B. Teitlery, M. Lieberman, and J. Sperling, "Twitter Stand : News in Tweets", Proc. of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Infomation System, 2009.
  10. Wu, W., B. Zhang, and M. Ostenddorf, "Automatic Generation of Personalized Annotation Tags for Twitter Users", Human Language Technologies : The Annual conference of the Noth American Chapter of Association for Computational Linguistics, 2010.