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Efficient Information Retrieval Using PWS Framework

Author(s):

G. Anishya , VALLIAMMAI ENGINEERING COLLEGE; G. Sangeetha, VALLIAMMAI ENGINEERING COLLEGE

Keywords:

Fuzzy Self Construction Algorithm, Persnalized Web Search, Ontology, Content Based Ranking, Term Frequency

Abstract

Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. In order to improve the efficiency of search engine results a PWS framework is implemented The PWS framework can effectively generalize profiles by queries while respecting user specified requirements. To rank the search engine results content based ranking methodology is based on the user query, search engine results are retrieved. Analyze the search engine results based on keywords and content. User query is pre-processed to identify the root words. Every root words are considered for Dictionary construction. From every result page keywords and content words are pre-processed and compared against the dictionary. If a match is found then particular weight is awarded to each word. Finally, the total relevancy of the particular link against user request to determine the term frequency.

Other Details

Paper ID: IJSRDV2I12322
Published in: Volume : 2, Issue : 12
Publication Date: 01/03/2015
Page(s): 874-877

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