Title: | a unified graph-based iterative reinforcement approach to personalized search |
Author: | Huang Yunping
; Sun Le
; Wang Zhe
|
Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Conference Name: | 5th Asia Information Retrieval Symposium
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Conference Date: | OCT 21-23,
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Issued Date: | 2009
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Conference Place: | Sapporo, JAPAN
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Keyword: | Information Retrieval
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Publisher: | INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS
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Publish Place: | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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Indexed Type: | 其他
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ISSN: | 0302-9743
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ISBN: | 978-3-642-04768-8
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Department: | Huang, Yunping; Sun, Le; Wang, Zhe Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
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English Abstract: | 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. |
Language: | 英语
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Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/8286
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Appears in Collections: | 基础软件国家工程研究中心_会议论文
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a unified graph-based iterative reinforcement approach to personalized search.pdf(239KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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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,.
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