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Intelligent Information Retrieval Using Hybrid of Fuzzy Set and Trust


Affiliations
1 Shaheed Rajguru College of Applied Science for Women, University of Delhi, Vasundhra Enclave, Delhi, India
 

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.


Keywords

Search Engines, Intelligent Information Retrieval, Fuzzy Set, Trust, Query Expansion, Web Page Recommendation.
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  • Intelligent Information Retrieval Using Hybrid of Fuzzy Set and Trust

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Authors

Suruchi Chawla
Shaheed Rajguru College of Applied Science for Women, University of Delhi, Vasundhra Enclave, Delhi, India

Abstract


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.


Keywords


Search Engines, Intelligent Information Retrieval, Fuzzy Set, Trust, Query Expansion, Web Page Recommendation.

References





DOI: https://doi.org/10.13005/ojcst%2F10.02.09