Improving Query Expansion by Automatic Query Disambiguation in Intelligent Information Retrieval

2014 ◽  
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Intelligent Information Retrieval ◽  
Intelligent Information

scholarly journals Intelligent Information Retrieval Using Hybrid of Fuzzy Set and Trust

2017 ◽  
Vol 10 (2) ◽  
pp. 311-325
Author(s):  
Suruchi Chawla
Keyword(s):  
Information Retrieval ◽  
Fuzzy Set ◽  
Query Expansion ◽  
Information Need ◽  
Data Set ◽  
Search Results ◽  
Intelligent Information Retrieval ◽  
Main Challenge ◽  
Fuzzy Query ◽  
Intelligent Information

The main challenge for effective web Information Retrieval(IR) is to infer the information need from user’s query and retrieve relevant documents. The precision of search results is low due to vague and imprecise user queries and hence could not retrieve sufficient relevant documents. Fuzzy set based query expansion deals with imprecise and vague queries for inferring user’s information need. Trust based web page recommendations retrieve search results according to the user’s information need. In this paper an algorithm is designed for Intelligent Information Retrieval using hybrid of Fuzzy set and Trust in web query session mining to perform Fuzzy query expansion for inferring user’s information need and trust is used for recommendation of web pages according to the user’s information need. Experiment was performed on the data set collected in domains Academics, Entertainment and Sports and search results confirm the improvement of precision.

scholarly journals Intelligent Information Retrieval Tools for Police

2006 ◽  
pp. 664-665
Author(s):  
Nishant Kumar ◽  
Jan De Beer ◽  
Jan Vanthienen ◽  
Marie-Francine Moens
Keyword(s):  
Information Retrieval ◽  
Intelligent Information Retrieval ◽  
Intelligent Information
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