中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 会议论文
题名:
an iterative implicit feedback approach to personalized search
作者: Lv Yuanhua ; Sun Le ; Zhang Junlin ; Nie Jian-Yun ; Chen Wan ; Zhang Wei
会议名称: 21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics
会议日期: JUL 17-21,
出版日期: 2006
会议地点: Sydney, AUSTRALIA
出版者: COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE
出版地: 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA
收录类别: istp
ISBN: 978-1-932432-65-7
部门归属: Lv, Yuanhua Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
主办者: Assoc Computat Linguist
英文摘要: General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It can, in a unified way, exploit and utilize implicit feedback info
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/12226
Appears in Collections:软件所图书馆_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
p585-lv.pdf(142KB)----限制开放-- 联系获取全文

Recommended Citation:
Lv Yuanhua,Sun Le,Zhang Junlin,et al. an iterative implicit feedback approach to personalized search[C]. 见:21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics. Sydney, AUSTRALIA. JUL 17-21,.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lv Yuanhua]'s Articles
[Sun Le]'s Articles
[Zhang Junlin]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lv Yuanhua]‘s Articles
[Sun Le]‘s Articles
[Zhang Junlin]‘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