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 TypeDr GradeEmail
وديع صالح الحلبيAlhalabi, Wadee SalehResearcherDoctoratewsalhalabi@kau.edu.sa
M KubatKubat, M Researcher mkubat@miami.edu
M TapiaTapia, M Researcher mtapia@miami.edu

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