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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Journal
Document Title
:
A Tool to Personalizing the Ranking of the Documents Returned by an Internet Search Engine
أداة لتخصيص عملية تصنيف المستندات التي تعرضها محركات البحث عبر شبكة الإنترنت
Document Language
:
English
Abstract
:
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s query. In this paper, we investigated the possibility of evaluating this relevance by the similarity of the returned web page to web pages previously visited by the same user: these previously visited pages thus serve as positive training examples from which a machine-learning program induces an internal model of the user’s interests and preferences. We describe two different ways to represent this model. Our experiments indicate that this approach can indeed improve the ranking.
ISSN
:
1975-9320
Journal Name
:
journal of Convergence Information Technology
Volume
:
2
Issue Number
:
3
Publishing Year
:
1428 AH
2007 AD
Article Type
:
Article
Added Date
:
Sunday, June 24, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
وديع صالح الحلبي
Alhalabi, Wadee Saleh
Researcher
Doctorate
wsalhalabi@kau.edu.sa
M Kubat
Kubat, M
Researcher
mkubat@miami.edu
M Tapia
Tapia, M
Researcher
mtapia@miami.edu
Files
File Name
Type
Description
33752.pdf
pdf
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