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Title:
an iterative implicit feedback approach to personalized search
Author: Lv Yuanhua ; Sun Le ; Zhang Junlin ; Nie Jian-Yun ; Chen Wan ; Zhang Wei
Conference Name: 21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics
Conference Date: JUL 17-21,
Issued Date: 2006
Conference Place: Sydney, AUSTRALIA
Publisher: COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE
Publish Place: 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA
Indexed Type: istp
ISBN: 978-1-932432-65-7
Department: Lv, Yuanhua Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
Sponsorship: Assoc Computat Linguist
English Abstract: 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
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/12226
Appears in Collections:软件所图书馆_会议论文

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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,.
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