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现代图书情报技术  2014, Vol. 30 Issue (7): 107-113     https://doi.org/10.11925/infotech.1003-3513.2014.07.15
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
用户主导下的专家检索可信度评测机制研究
李纲, 叶光辉
武汉大学信息资源研究中心, 武汉430072
Research on Credibility Evaluation Mechanism of Experts Retrieval Under User's Control
Li Gang, Ye Guanghui
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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摘要 

[目的]为降低专家检索过程中的噪声并提升用户满意度,提出构建用户主导下的专家检索可信度评测机制。[方法]在BIR模型基础上,阐述评测机制运行需要遵循的原则和假设,围绕专家特征设置参数,依次设计前后端可信度评测机制。[结果]以学术专家检索为例,说明后端可信度评测通过求解最佳专家特征向量目长来降低检索噪声,前端可信度评测将用户相关性反馈作为检索路径选择的必要参照。[局限]前端可信度评测不适用于用户提问较长的情形;后端可信度评测对专家信息组织方式要求高。[结论]综合两种可信度评测机制,该机制可提升专家检索关联资源的广度和用户参与的深度。

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李纲
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Abstract

[Objective] In order to reduce the noise and enhance customers' satisfaction in expert retrieval system, the authors put forward the idea of credibility evaluation mechanism under user's control.[Methods] Firstly, based on the binary independence retrieval model, this paper brings out the principles and assumptions that the design of evaluation mechanism needs to follow. Secondly, fousing on expert feature to define parameter, this paper has respectively designed the front-end credibility evaluation mechanism and the back-end credibility evaluation mechanism.[Results]Setting academic experts retrieval for example, the authors point out that the front-end mechanism corresponding to information organization attempts to reduce the noise in the expert feature recognition via finding the best length of expert eigen vector, while the back-end mechanism deeply integrates users into the retrieval by setting user relevant feedback as the necessary reference of path selection.[Limitations] The front-end mechanism can not deal with user query including more words, and the back-end mechanism has higher requirement of expert information organization.[Conclusions] Making combination with two mechanisms, this new mechanism can expand associated resources for expert feature recognition and upgrade user involvement.

Key wordsUser feedback    Expert retrieval    Eigenvector    Credibility evaluation
收稿日期: 2014-04-10      出版日期: 2014-10-20
:  G353  
基金资助:

国家社会科学基金重大项目“智慧城市应急决策情报体系建设研究”(项目编号:13&ZD173)、武汉大学研究生自主科研项目“跨学科专家科研团队发现研究”(项目编号:2014104010202)和中央高校基本科研业务费专项资金的研究成果之一。

通讯作者: 叶光辉E-mail:3879-4081@163.com     E-mail: 3879-4081@163.com
作者简介: 作者贡献声明:李纲:提出研究思路,定稿;叶光辉:负责实验和论文撰写。
引用本文:   
李纲, 叶光辉. 用户主导下的专家检索可信度评测机制研究[J]. 现代图书情报技术, 2014, 30(7): 107-113.
Li Gang, Ye Guanghui. Research on Credibility Evaluation Mechanism of Experts Retrieval Under User's Control. New Technology of Library and Information Service, 2014, 30(7): 107-113.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.07.15      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I7/107

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