Paper Info
Title
Sphere of Influence Model in Information Retrieval.
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.
Year
DOI
Venue
2005
10.1109/FUZZY.2005.1452379
IEEE International Conference on Fuzzy Systems
Keywords
Field
DocType
indexing,fuzzy set theory,fuzzy systems,search engines,information retrieval,information need,information needs,database languages,fuzzy sets,bayesian methods,world wide web,text analysis
Query language,Information needs,Ranking,Information retrieval,Computer science,Fuzzy logic,Search engine indexing,Fuzzy set,Ranking (information retrieval),Fuzzy control system
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
10
2
Name
Order
Citations
PageRank
Annabelle Mercier1418.72
Michel Beigbeder27223.49