• DocumentCode
    3399102
  • Title

    Sphere of Influence Model in Information Retrieval

  • Author

    Mercier, Annabelle ; Beigbeder, Michel

  • Author_Institution
    Ecole Nationale Superieure des Mines de Saint-Etienne
  • fYear
    2005
  • fDate
    25-25 May 2005
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    We present a new method based on fuzzy proximity for scoring and ranking relevant documents according to the user\´s information need. Our study takes place in the information retrieval domain and uses the terms localization in documents, we assume that the more the occurrences of the query terms are found close to each other in a document the more this document must be in the top of the retrieved document list. After a brief description of some traditional models and the few approaches which use proximity between the occurrences of terms, we present our "sphere of influence" model which scores documents according to the fuzzy proximity between the query terms in them. First, we detail this model and then we demonstrate that our model includes the traditional ones
  • Keywords
    fuzzy set theory; fuzzy systems; information needs; information retrieval; text analysis; document term localization; fuzzy proximity; information need; information retrieval; query terms; relevant documents ranking; sphere of influence model; Bayesian methods; Database languages; Frequency measurement; Fuzzy neural networks; Fuzzy sets; Indexing; Information retrieval; Position measurement; Search engines; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
  • Conference_Location
    Reno, NV
  • Print_ISBN
    0-7803-9159-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.2005.1452379
  • Filename
    1452379