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August Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the August 2021 Edition of the journal. The last date of research paper submission is July 15, 2021.

Personalized Web Search in Web Mining

Sheetal Vishwas Kashid, Vishwakarma Pinki Published in Information Sciences

IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization
Year of Publication: 2015
© 2015 by IJAIS Journal
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  1. Sheetal Vishwas Kashid and Vishwakarma Pinki. Article: Personalized Web Search in Web Mining. IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization ICWCCV 2015(1):35-40, September 2015. BibTeX

    @article{key:article,
    	author = "Sheetal Vishwas Kashid and Vishwakarma Pinki",
    	title = "Article: Personalized Web Search in Web Mining",
    	journal = "IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization",
    	year = 2015,
    	volume = "ICWCCV 2015",
    	number = 1,
    	pages = "35-40",
    	month = "September",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Web is a collection of inter-related files on one or more Web servers. Web mining is the application of data mining techniques to extract knowledge from Web data. Web mining involves the process to apply data mining techniques to extract and uncover knowledge from web documents and services. Web mining has been explored to a vast level and different techniques have been defined for variety of applications like Web Search, Web Classification and Personalization etc. Personalized search is a way to improve the accuracy of web search. However personalized search requires collection and aggregation of user information, which often raise serious problems of breach of confidential data for many users. So, personalized web search in web mining is one of the techniques to improve privacy concerns of the user's data.

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Keywords

Personalized web search, web mining, user profile, information retrieval.