res earch paper recommender system
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Res earch Paper Recommender System. Scienstein. Monica D ăgădiţă. Outline. Article recommender systems Why Scienstein ? Citation analysis methods Text m ining Document rating User interface Conclusions. Article recommender systems. Purpose : find relevant articles Methods used

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outline
Outline
  • Article recommender systems
  • Why Scienstein?
  • Citation analysis methods
  • Text mining
  • Document rating
  • User interface
  • Conclusions
article recommender systems
Article recommender systems
  • Purpose : find relevant articles
  • Methods used
    • Content based filtering
    • Collaborative filtering
  • Key elements of an article
    • Citations
    • Author
    • Content
why scienstein
Why Scienstein?
  • 2008 - PhD students BélaGipp and JöranBeel
  • Appeared as an alternative to academic search engines
  • Improves simple keyword-based search
    • Citation analysis
      • Distance Similarity Index (DSI)
      • In-text Impact Factor (ItIF)
    • Author analysis
    • Source analysis
    • Implicit/explicit ratings
citation analysis methods
Citation analysis methods
  • Problems
    • Homographs
    • The Mathew Effect
    • Self citations
    • Citation circles
    • Ceremonial citations
  • Scienstein’s approach – 4 citation analysis methods
citation analysis methods 2
Citation analysis methods(2)
  • Cited by
    • Papers that cite the input

document – A&B

  • Reference list
    • Papers referenced in the

input document – C&D

  • Bibliographic coupling
    • Papers that cite the same article(s) – BibCo
  • Co-citation
    • Papers cited in the same document – CoCit
citation analysis methods 3
Citation analysis methods(3)
  • In-text citation frequency analysis (ICFA)
    • the frequency with which a research paper is cited within a document
    • In-text Impact Factor (ItIF)
      • The higher the ItIF, the

closer related is the

input document to the

cited document

citation analysis methods 4
Citation analysis methods(4)
  • In-text citation distance analysis (ICDA)
    • the distance between references within a text -> the degree of their similarity
    • Distance Similarity Index (DSI)
      • calculates the similarity

of two documents based

on the citation distance

text m ining
Text mining
  • Existing techniques
  • Additional features
    • Classification based on details given in the acknowledgements section
    • Collaborative annotations and classifications
    • Creating new categories
      • classifying publications about archaeological sites according to their geographic location -> Google Maps Extension
document rating
Document rating
  • Explicit ratings
    • Improve a user’s own recommendation accuracy
    • Problem: a large amount is needed
  • Implicit ratings
    • Time spent with mouse over a paragraph
    • Time spent reading an article
    • Printed articles
conclusions
Conclusions
  • Scienstein - the first hybrid recommender system for research papers
  • Known methods
    • Keyword analysis
    • Ratings
  • New methods
    • In-text Impact Factor (ItIF)
    • Distance Similarity Index (DSI)
  • Hybrid system (content based and collaborative filtering) => more powerful tool