| 题名: | a unified graph-based iterative reinforcement approach to personalized search |
| 作者: | Huang Yunping
; Sun Le
; Wang Zhe
|
| 会议文集: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|
| 会议名称: | 5th Asia Information Retrieval Symposium
|
| 会议日期: | OCT 21-23,
|
| 出版日期: | 2009
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| 会议地点: | Sapporo, JAPAN
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| 关键词: | Information Retrieval
|
| 出版者: | INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS
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| 出版地: | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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| 收录类别: | 其他
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| ISSN: | 0302-9743
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| ISBN: | 978-3-642-04768-8
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| 部门归属: | Huang, Yunping; Sun, Le; Wang, Zhe Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
|
| 英文摘要: | 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. |
| 语种: | 英语
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| 内容类型: | 会议论文
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| URI标识: | 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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