• DocumentCode
    2501172
  • Title

    Improving research paper searching with social tagging — A preliminary investigation

  • Author

    Jomsri, P. ; Sanguansintukul, S. ; Choochaiwattana, W.

  • Author_Institution
    Dept. of Math., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2009
  • fDate
    20-22 Oct. 2009
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    The WWW provides an efficient way to store and share information. Search engines and social bookmarking systems are important tools for Web resource discovery. This study investigated three different indexing approaches applied to CiteULike - a social bookmarking system for tagging academic research papers. The indexing approaches here are known as: Tag only; Title with Abstract; and Tag, Title with Abstract. These three indexing approaches were evaluated using mean values of normalized discount cumulative gain (NDCG). The preliminary results illustrated that indexing using "Tag, Title, with Abstract" performed the best. The initial evaluation on our implementation implied that these designs might improve the accuracy and efficiency of Web resource searching on social bookmarking system, not only in academics but also in other domains.
  • Keywords
    Internet; indexing; information retrieval; search engines; social networking (online); CiteULike; Web resource discovery; Web resource searching; World Wide Web; normalized discount cumulative gain; research paper searching; search engines; social bookmarking systems; social tagging; Data mining; Filtering algorithms; Indexing; Information retrieval; Internet; Libraries; Natural language processing; Navigation; Search engines; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-4138-9
  • Electronic_ISBN
    978-1-4244-4139-6
  • Type

    conf

  • DOI
    10.1109/SNLP.2009.5340927
  • Filename
    5340927