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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Journal
Document Title
:
Enhancing Web Search with Semantic Identification of User Preferences
تطوير عملية البحث على شبكة الويب عن طريق التعرف الدلالي على تفضيلات المستخدم
Subject
:
Information Search and Retrieval
Document Language
:
English
Abstract
:
Personalized web search is able to satisfy individual’s information needs by modeling long-term and short-term user interests based on user actions, browsed documents or past queries and incorporate these in the search process. In this paper, we propose a personalized search approach which models the user search preferences in an ontological user profile and semantically compares this model against user current query context to re-rank search results. Our user profile is based on the predefined ontology Open Directory Project (ODP) so that after a user's search, relevant web pages are classified into topics in the ontology using semantic and cosine similarity measures. Moreover, interest scores are assigned to topics based on the user’s ongoing behavior. Our experiments show that re-ranking based on the semantic evidence of the updated user profile efficiently satisfies user information needs with the most relevant results being brought on to the top of the returned results.
ISSN
:
16940814
Journal Name
:
IJCSI Press
Volume
:
8
Issue Number
:
6
Publishing Year
:
1433 AH
2011 AD
Article Type
:
Article
Added Date
:
Sunday, March 11, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
طارق غريب
Gharib, Tarek
Researcher
Doctorate
tfgharib@kau.edu.sa
Files
File Name
Type
Description
32623.pdf
pdf
Enhancing Web Search with Semantic Identification of User Preferences
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