• DocumentCode
    168351
  • Title

    RefSeer: A citation recommendation system

  • Author

    Wenyi Huang ; Zhaohui Wu ; MITRA, PINAKI ; Giles, C. Lee

  • Author_Institution
    Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2014
  • fDate
    8-12 Sept. 2014
  • Firstpage
    371
  • Lastpage
    374
  • Abstract
    Citations are important in academic dissemination. To help researchers check the completeness of citations while authoring a paper, we introduce a citation recommendation system called RefSeer. Researchers can use it to find related works to cited while authoring papers. It can also be used by reviewers to check the completeness of a paper´s references. RefSeer presents both topic based global recommendation and also citation-context based local recommendation. By evaluating the quality of recommendation, we show that such recommendation system can recommend citations with good precision and recall. We also show that our recommendation system is very efficient and scalable.
  • Keywords
    citation analysis; recommender systems; RefSeer; citation recommendation system; citation-context based local recommendation; topic based global recommendation; Bibliographies; Complexity theory; Computational modeling; Context; Context modeling; Search engines; Training; Citation recommendation; RefSeer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/JCDL.2014.6970192
  • Filename
    6970192