| a unified graph-based iterative reinforcement approach to personalized search | |
| Huang Yunping; Sun Le; Wang Zhe | |
| 2009 | |
| 会议名称 | 5th Asia Information Retrieval Symposium |
| 会议录名称 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| 页码 | 193-204 |
| 会议日期 | OCT 21-23, |
| 会议地点 | Sapporo, JAPAN |
| 收录类别 | 其他 |
| 出版地 | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| 出版者 | INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS |
| ISSN | 0302-9743 |
| ISBN | 978-3-642-04768-8 |
| 部门归属 | Huang, Yunping; Sun, Le; Wang, Zhe Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China. |
| 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. |
| 关键词 | Information Retrieval |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/8286 |
| 专题 | 基础软件国家工程研究中心 |
| 推荐引用方式 GB/T 7714 | Huang Yunping,Sun Le,Wang Zhe. a unified graph-based iterative reinforcement approach to personalized search[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS,2009:193-204. |
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