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
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