The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems

نویسنده

  • Neil Rubens
چکیده

The quality of the ranking function is an important factor that determines the quality of the Information Retrieval system. Each document is assigned a score by the ranking function; the score indicates the likelihood of relevance of the document given a query. In the vector space model, the ranking function is defined by a mathematic expression such as: ∑ ∈ = q t d q score ) , ( tf(t in d) * idf(t) * getBoost(t.field in d) * lengthNorm(t.field in d) * overlap(q,d) * queryNorm(q)

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عنوان ژورنال:
  • CoRR

دوره abs/cs/0610039  شماره 

صفحات  -

تاریخ انتشار 2006