文档介绍：博士学位论文
网络搜索的个性化潜力研究
Research on Potential for Personalizing
Web Search
Fikadu Gemechu Erba
哈尔滨工业大学
2012 年 7 月
国内图书分类号: 学校代码:10213
国际图书分类号: 密级:公开
工学博士学位论文
网络搜索的个性化潜力研究
博士研究生: Fikadu Gemechu Erba
导师: 刘挺教授
申请学位: 工学博士
学科、专业: 计算机应用技术
所在单位: 计算机科学与技术学院
答辩日期: 2012 年 7 月
授予学位单位: 哈尔滨工业大学
Classified Index:
U. D. C.:
Dissertation for the Doctoral Degree in Engineering
Research on Potential for Personalizing
Web Search
Candidate: Fikadu Gemechu Erba
Supervisor: Professor Liu Ting
Academic Degree Applied for: Doctor of Engineering
Specialty: Computer Application
Technology
Affiliation: School puter Science
and Technology
Date of Defense: July, 2012
Degree-Conferring-Institution: Harbin Institute of Technology
Abstract
Abstract
People use Web search engines to look for information on the Web. However,
current Web search engines do not fully satisfy the needs of different individuals
having unique search goals for the same query. We examine the variations in Web
search results individual’s find to be relevant for the same query by using explicit
relevance judgments and clicks as a source of evidence for relevance. Besides, we
identify truly ambiguous queries and examine how both explicit relevance
judgments and implicit measures of relevance vary for these queries.
In this thesis, we propose an enhanced framework for personalized search,
which contains a ponent that can assist users in a decision making process
as to whether the query is a potential candidate for personalization or not. It
considers the potential category of a query and then applies personalization
techniques depending on the category to which the query belongs. Besides, the new
framework considers the differences in interest among different individuals for the
results of the same query, w