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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Res earch paper recommender system

Research Paper Recommender System

Scienstein

Monica Dăgădiţă


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


User interface

User interface


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


Questions

Questions

?


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