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iAGENT: A Novel and Intelligent Assistant to Personalised Search

by Sompa Malakar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 1
Year of Publication: 2010
Authors: Sompa Malakar
10.5120/18-125

Sompa Malakar . iAGENT: A Novel and Intelligent Assistant to Personalised Search. International Journal of Computer Applications. 1, 1 ( February 2010), 67-72. DOI=10.5120/18-125

@article{ 10.5120/18-125,
author = { Sompa Malakar },
title = { iAGENT: A Novel and Intelligent Assistant to Personalised Search },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 1 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 67-72 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number1/18-125/ },
doi = { 10.5120/18-125 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:43:41.620544+05:30
%A Sompa Malakar
%T iAGENT: A Novel and Intelligent Assistant to Personalised Search
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 1
%P 67-72
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a novel approach to personalised search. By constantly learning and updating user profiles to the current needs of the user, relevant results are returned. The paper puts forward the concept of “iAGENT” which is an intelligent agent that assists a user to get relevant documents by modifying the query given by the user in accordance with the web pages previously visited. iAGENT has a novel method of maintaining two kinds of profile for the user. The first profile keeps track of the pages visited by the user and the second keeps track of the pages that were not visited by the user. The second profile is an added feature of iAGENT that keeps a backup of the websites that were irrelevant at some point of time, but may be required in the future. When a request to a page from the second profile is made, the overhead of following the entire procedure of querying the search engine is avoided. Besides, both the profiles are constantly updated to keep track of the user’s current interest. Experimental results show that the iAGENT is efficient enough to personalise the search results to an appreciable degree.

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Index Terms

Computer Science
Information Sciences

Keywords

Personalization Intelligent agents User behaviour

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