ISCAS OpenIR
an iterative implicit feedback approach to personalized search
Lv Yuanhua; Sun Le; Zhang Junlin; Nie Jian-Yun; Chen Wan; Zhang Wei
2006
Conference Name21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics
Pages585-592
Conference DateJUL 17-21,
Conference PlaceSydney, AUSTRALIA
Indexed Typeistp
Publish Place209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA
PublisherCOLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE
ISBN978-1-932432-65-7
DepartmentLv, Yuanhua Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractGeneral 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
SponsorshipAssoc Computat Linguist
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12226
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Lv Yuanhua,Sun Le,Zhang Junlin,et al. an iterative implicit feedback approach to personalized search[C]. 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA:COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE,2006:585-592.
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