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
Link To Document :
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