Title: | an iterative implicit feedback approach to personalized search |
Author: | Lv Yuanhua
; Sun Le
; Zhang Junlin
; Nie Jian-Yun
; Chen Wan
; Zhang Wei
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Conference Name: | 21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics
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Conference Date: | JUL 17-21,
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Issued Date: | 2006
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Conference Place: | Sydney, AUSTRALIA
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Publisher: | COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE
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Publish Place: | 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA
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Indexed Type: | istp
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ISBN: | 978-1-932432-65-7
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Department: | Lv, Yuanhua Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
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Sponsorship: | Assoc Computat Linguist
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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
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Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/12226
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Appears in Collections: | 软件所图书馆_会议论文
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p585-lv.pdf(142KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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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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