Tag suggestion method based on association pattern and bigram approach

Hyun Woo Kim, Kangpyo Lee, Hyopil Shin, Hyoung Joo Kim

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

2 Citations (Scopus)

Abstract

Recently, the number of articles, blog posts, photos and videos on the web is dramatically increasing because of the increase of internet usage. In this situation, the web search is the most important thing in the web. When we search, we can use text information from articles or blog posts. In the case of photos and videos, we can only use a title. If there are tags - significant keywords of that multimedia, we can use tag information to search. Tag is a keyword of text, blog post, or multimedia. Users have already recognized about the value and importance of tags but only a few users are using tags. They might be annoying to add tags or they don't know what to add for good search result. This is why tag suggestion system is needed. Our method analyzes crawled tag data and suggests appropriate tags to user using association pattern and bigram approach. By experiments, we conclude that our tag suggestion method suggests appropriate tags.

Original languageEnglish
Title of host publication10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009
Pages63-68
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 10
Externally publishedYes
Event10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009 - Daegu, Korea, Republic of
Duration: 2009 May 272009 May 29

Publication series

Name10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009

Conference

Conference10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009
CountryKorea, Republic of
CityDaegu
Period09/5/2709/5/29

    Fingerprint

Keywords

  • Association pattern
  • Bigram
  • Folksonomy
  • Tag suggestion
  • Web 2.0

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Kim, H. W., Lee, K., Shin, H., & Kim, H. J. (2009). Tag suggestion method based on association pattern and bigram approach. In 10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009 (pp. 63-68). [5286693] (10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009). https://doi.org/10.1109/SNPD.2009.72