PERSONALIZED WEB SEARCH USING BROWSING HISTORY AND DOMAIN KNOWLEDGE

被引：0
|
作者：
Kumar, Rakesh [1 ]
Sharan, Aditi [1 ]
机构：
[1] Jawaharlal Nehru Univ, Sch Comp & Syst Sci, New Delhi 110067, India
来源：
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON ISSUES AND CHALLENGES IN INTELLIGENT COMPUTING TECHNIQUES (ICICT) | 2014年
关键词：
Personalized Web Search; User Modeling; Domain Knowledge; Enhanced User Profile; RETRIEVAL EFFECTIVENESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Generic search engines are important for retrieving relevant information from web. However these engines follow the "one size fits all" model which is not adaptable to individual users. Personalized web search is an important field for tuning the traditional IR system for focused information retrieval. This paper is an attempt to improve personalized web search. User's ProfIle provides an important input for performing personalized web search. This paper proposes a framework for constructing an Enhanced User ProfIle by using user's browsing history and enriching it using domain knowledge. This Enhanced User Profile can be used for improving the performance of personalized web search. In this paper we have used the Enhanced User ProfIle specifically for suggesting relevant pages to the user. The experimental results show that the suggestions provided to the user using Enhanced User Profile are better than those obtained by using a User Profile.
引用
收藏
页码：493 / 497
页数：5
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