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New Technology of Library and Information Service  2014, Vol. 30 Issue (7): 107-113    DOI: 10.11925/infotech.1003-3513.2014.07.15
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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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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     
Received: 10 April 2014      Published: 20 October 2014
:  G353  

Cite this article:

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.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.07.15     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I7/107

[1] 彭红彬, 王军. 虚拟社区中知识交流的特点分析——基于CSDN技术论坛的实证研究[J]. 现代图书情报技术, 2009(4): 44-49. (Peng Hongbin, Wang Jun. Topology of the Knowledge Communication Network in Virtual Communities——Based on CSDN[J]. New Technology of Library and Information Service, 2009(4): 44-49.)
[2] Liu D R, Chen Y H, Kao W C, et al. Integrating Expert Profile, Reputation and Link Analysis for Expert Finding in Question-answering Websites[J]. Information Processing & Management, 2013, 49(1): 312-329.
[3] Zhang J, Tang J, Li J. Expert Finding in a Social Network[A].//Kotagiri R, Krishna P R, Mohania M, et al. Advances in Databases: Concepts, Systems and Applications[M]. Berlin & Heidelberg: Springer, 2007: 1066-1069.
[4] Moreira C, Wichert A. Finding Academic Experts on a MultiSensor Approach Using Shannon’s Entropy[J]. Expert Systems with Applications, 2013, 40(14): 5740-5754.
[5] 王曰芬, 王雪芬, 杨小晓. 基于社会网络的科技咨询专家库的构建方案和流程设计[J]. 情报学报, 2012, 31(2): 116-125. (Wang Yuefen, Wang Xuefen, Yang Xiaoxiao. Research on Construction Schema and Program Design of Social Network-based Expert Database in Scientific and Technical Consulting[J]. Journal of the China Society for Scientific and Technical Information, 2012, 31(2): 116-125.)
[6] 王曰芬, 王雪芬, 颜端武. 基于社会网络的科技咨询专家库的原型系统设计与实现[J]. 情报学报, 2012, 31(3): 250-258. (Wang Yuefen, Wang Xuefen, Yan Duanwu. Prototype System Design and Implementation of the Database about Science and Technical Consulting Experts Based on Social Networks[J]. Journal of the China Society for Scientific and Technical Information, 2012, 31(3): 250-258.)
[7] 陆伟, 韩曙光. 组织专家的检索系统设计与实现[J]. 情报学报, 2008, 27(5): 657-663. (Lu Wei, Han Shuguang. Design and Implementation of Organization Expert Search System[J]. Journal of the China Society for Scientific and Technical Information, 2008, 27(5): 657-663.)
[8] 陆伟, 刘杰, 秦喜艳. 基于专长词表的图情领域专家检索与评价[J]. 中国图书馆学报, 2010, 36(2): 70-76. (Lu Wei, Liu Jie, Qin Xiyan. Expert Search and Evaluation Based on Expertise Vocabulary in the Field of Library and Information Science[J]. Journal of Library Science in China, 2010, 36(2): 70-76.)
[9] 刘萍, 叶燕. 基于本体的高校专家定位系统研究[J]. 情报学报, 2010, 29(5): 813-819. (Liu Ping, Ye Yan. An Ontology-based Experts Locator System within Academia[J]. Journal of the China Society for Scientific and Technical Information, 2010, 29(5): 813-819.)
[10] Fang Y, Si L, Mathur A. FacFinder: Search for Expertise in Academic Institutions[R]. West Lafayette: Purdue University, 2008.
[11] Ehrlich K, Lin C Y, Griffiths-Fisher V. Searching for Experts in the Enterprise: Combining Text and Social Network Analysis[C]. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work. New York: ACM, 2007: 117-126.
[12] Lin C Y, Ehrlich K, Griffiths-Fisher V, et al. SmallBlue: People Mining for Expertise Search[J]. IEEE MultiMedia, 2008, 15(1): 78-84.
[13] Wang G A, Jiao J, Abrahams A S, et al. ExpertRank: A Topic-aware Expert Finding Algorithm for Online Knowledge Communities[J]. Decision Support Systems, 2013, 54(3): 1442-1451.
[14] 王平, 程齐凯. 网络信息可信度评估的研究进展及述评[J].信息资源管理学报, 2013(1): 46-52. (Wang Ping, Cheng Qikai. Review and Progress in Research on Credibility Evaluation of Information on the Web[J]. Journal of Information Resources Management, 2013(1): 46-52.)
[15] 邓发云. 基于用户需求的信息可信度研究[D]. 成都: 西南交通大学, 2006. (Deng Fayun. Information Credibility on User Demand[D]. Chengdu: Southeast Jiaotong University, 2006.)
[16] 梁樑, 熊立, 王国华. 一种群决策中确定专家判断可信度的改进方法[J]. 系统工程, 2004, 22(6): 91-94. (Liang Liang,Xiong Li, Wang Guohua. A New Method of Determining the Reliability of Decision-makers in Group Decision[J]. System Engneering, 2004, 22(6): 91-94.)
[17] Zhao H X, Yang J P, Wan J. Evaluation Model of Credibility of E-Commerce Website Using Fuzzy Multi-Attribute Group Decision Making: Based on Fuzzy Structured Element[C]. In: Proceedings of Fuzzy Information and Engineering 2010. Berlin, Heidelberg: Springer, 2010: 417-424.
[18] 徐林生, 王执铨, 戴跃伟. 评审专家可信度评价模型及应用[J]. 南京理工大学学报: 自然科学版, 2010, 34(1): 30-34. (Xu Linsheng, Wang Zhiquan, Dai Yuewei. Expert’s Credibility Model and Evaluation Method[J]. Journal of Nanjing University of Science and Technology: Natural Science, 2010, 34(1): 30-34.)
[19] 李振清, 刘建毅, 王枞, 等. 同行评议专家遴选系统研究与实现[J]. 现代图书情报技术, 2012(5): 81-86. (Li Zhenqing, Liu Jianyi, Wang Cong, et al. Research and Implementation of Peer-review Experts Selection System[J]. New Technology of Library and Information Service, 2012(5): 81-86.)
[20] Grossman D A, Frieder O. Information Retrieval: Algorithms and Heuristics[M]. The 2nd Editon. New York: Springer- Verlag, 2004: 21-32.
[21] 李纲, 叶光辉. 基于模糊匹配的跨学科专家团队发现算法研究[J]. 情报学报, 2014, 33(1): 68-76. (Li Gang, Ye Guanghui. Research on Interdisciplinary Team of Experts Discovery Algorithm Based on the Fuzzy Matching[J]. Journal of the China Society for Scientific and Technical Information, 2014, 33(1): 68-76.)
[22] 李纲, 叶光辉. 多源专家特征信息融合研究[J]. 现代图书情报技术, 2014(4): 27-33. (Li Gang, Ye Guanghui. Research on Information Fusion for Multiple-sensor Expert Features[J]. New Technology of Library and Information Service, 2014(4): 27-33.)
[23] 郁国瑞, 韦宁. 主析取范式求法解析[J]. 河北能源职业技术学院学报, 2004(1): 92-94. (Yu Guorui, Wei Ning. Analysis of Seeking Main Disjunctive Normal Form[J]. Journal of Hebei Energy Institute of Vocation and Technology, 2004(1): 92-94.)

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