An information retrieval model based on vector space method by supervised learning

2002 ◽  
Vol 38 (6) ◽  
pp. 749-764 ◽  
Author(s):  
Xiaoying Tai ◽  
Fuji Ren ◽  
Kenji Kita
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Supervised Learning ◽  
Retrieval Model ◽  
Model Based ◽  
Space Method

scholarly journals An information retrieval model based on simple Bayesian networks

2003 ◽  
Vol 18 (2) ◽  
pp. 251-265 ◽  
Author(s):  
Silvia Acid ◽  
Luis M. De Campos ◽  
Juan M. Fernández-Luna ◽  
Juan F. Huete
Keyword(s):  
Information Retrieval ◽  
Bayesian Networks ◽  
Retrieval Model ◽  
Model Based

An Enhanced Fuzzy Information Retrieval Model Based on Linguistics

2014 ◽  
Vol 519-520 ◽  
pp. 853-856
Author(s):  
Zeinab E. Al-Arab ◽  
Ahmed M. Gadallah ◽  
Hesham M. Hefny
Keyword(s):  
Information Retrieval ◽  
Ranking Algorithm ◽  
Retrieval Model ◽  
Fuzzy Information ◽  
Model Based ◽  
Fuzzy Ontology ◽  
Confidence Degree ◽  
Subjective View ◽  
Fuzzy Information Retrieval

The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.

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