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An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile

by Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 4
Year of Publication: 2017
Authors: Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana
10.5120/ijca2017912788

Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana . An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile. International Journal of Computer Applications. 158, 4 ( Jan 2017), 1-7. DOI=10.5120/ijca2017912788

@article{ 10.5120/ijca2017912788,
author = { Yannick U. Tchantchou Samen, Eugene C. Ezin, Charles Awono Onana },
title = { An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 4 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number4/26893-2017912788/ },
doi = { 10.5120/ijca2017912788 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:54.013270+05:30
%A Yannick U. Tchantchou Samen
%A Eugene C. Ezin
%A Charles Awono Onana
%T An Approach of Re-Ranking Search Results based on a Dynamic and Hybrid Modeling of User Profile
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 4
%P 1-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The volume of data on the web grew in recent years. Then it becomes increasingly difficult for a user to access the right information in a short time. However, several works have been carried out with the aim of proposing algorithms to re-rank the user’s search results on the web by taking into account their profile. In this paper, we propose specific approach of re-ranking user search results based on a dynamic and hybrid modeling of user profile. Our approach takes into account the user interets identified during his browsing session and the history of his search on the web. We use a multi agent system to collect both explicitly and implicitly user data and to process this data to detect the user interets represented as ontological concepts. The experimentation of our model shows that it is able to re-rank user search results with a high accuracy than that given by the google search engine.

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Index Terms

Computer Science
Information Sciences

Keywords

User profile Re-ranking search result ontology multi-agent system

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