中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 基础软件国家工程研究中心  > 会议论文
题名:
a unified graph-based iterative reinforcement approach to personalized search
作者: Huang Yunping ; Sun Le ; Wang Zhe
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 5th Asia Information Retrieval Symposium
会议日期: OCT 21-23,
出版日期: 2009
会议地点: Sapporo, JAPAN
关键词: Information Retrieval
出版者: INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
收录类别: 其他
ISSN: 0302-9743
ISBN: 978-3-642-04768-8
部门归属: Huang, Yunping; Sun, Le; Wang, Zhe Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
英文摘要: General information retrieval systems do not perform well in satisfying users individual information need. This paper proposes a novel graph-based approach based on the following three kinds of mutual reinforcement relationships: RR-Relationship (Relationship among search results), RT-Relationship (Relationship between search results and terms), TT-Relationship (Relationship among terms). Moreover, the implicit feedback information, such as query logs and immediately viewed documents, can be utilized by this graph-based model. Our approach produces better ranking results and a better query model mutually and iteratively. Then a greedy algorithm concerning the diversity of the search results is employed to select the recommended results. Based on this approach, we develop an intelligent client-side web search agent GBAIR, and web search based experiments show that the new approach can improve search accuracy over another personalized web search agent.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8286
Appears in Collections:基础软件国家工程研究中心_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
a unified graph-based iterative reinforcement approach to personalized search.pdf(239KB)----限制开放-- 联系获取全文

Recommended Citation:
Huang Yunping,Sun Le,Wang Zhe. a unified graph-based iterative reinforcement approach to personalized search[C]. 见:5th Asia Information Retrieval Symposium. Sapporo, JAPAN. OCT 21-23,.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Huang Yunping]'s Articles
[Sun Le]'s Articles
[Wang Zhe]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Huang Yunping]‘s Articles
[Sun Le]‘s Articles
[Wang Zhe]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院软件研究所 - Feedback
Powered by CSpace