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Concept based Ranking of Results using an Ontology and Fuzzy Network for a Personalized Web Search Engine

by B. Bhaskara Rao, Valli Kumari Vatsavayi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 13
Year of Publication: 2013
Authors: B. Bhaskara Rao, Valli Kumari Vatsavayi
10.5120/14073-2350

B. Bhaskara Rao, Valli Kumari Vatsavayi . Concept based Ranking of Results using an Ontology and Fuzzy Network for a Personalized Web Search Engine. International Journal of Computer Applications. 81, 13 ( November 2013), 17-24. DOI=10.5120/14073-2350

@article{ 10.5120/14073-2350,
author = { B. Bhaskara Rao, Valli Kumari Vatsavayi },
title = { Concept based Ranking of Results using an Ontology and Fuzzy Network for a Personalized Web Search Engine },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 13 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number13/14073-2350/ },
doi = { 10.5120/14073-2350 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:59.203494+05:30
%A B. Bhaskara Rao
%A Valli Kumari Vatsavayi
%T Concept based Ranking of Results using an Ontology and Fuzzy Network for a Personalized Web Search Engine
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 13
%P 17-24
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For a given end user query, a personalized search engine returns an enormous set of related results. The results pertinent to a user are not regularly put on the top. The most fretting issue for the user would be to quickly find the related information in the first few. An efficient personalized search engine should be able to rank the search results and display more relevant ones as first few on the top. It is much more convenient for any user to find their required related result with lesser effort to search for it in the wide and huge list of information produced from the search results. The ranking of personalized web search results is a process of finding small number of highly relevant documents from large number of search results. The relevance is dependent on the user query and context of the subject. Ranking reflects the most relevant results to the user. These are very few and to be placed on top. In this paper, we proposed a method for ranking of search results using fuzzy networks that have been developed using enriched extended user profile. Our approach learns the user profile and constructs fuzzy net by calculating togetherness between concepts, documents or both. This can be done in two phases. In the first phase, we construct the fuzzy nets with enriched extended user profile. In second phase, we evaluate the rank of each document by using clustering algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Personalized Search Engine Ranking Fuzzy Networks Document Ontology Concepts Relevance Enriched Extended User Profile.

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