Please wait a minute...
Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (2): 1-10    DOI: 10.11925/infotech.2096-3467.2017.02.01
Orginal Article Current Issue | Archive | Adv Search |
Review of Expert Retrieval and Expert Ranking Studies
Ye Guanghui(), Xia Lixin
School of Information Management, Central China Normal University, Wuhan 430079, China
Download: PDF (555 KB)   HTML ( 48
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper reviews the expert retrieval and expert ranking literature to provide theoretical foundations for future studies. [Coverage] 65 papers were retrieved from the Web of Science (WOS), CNKI and other databases using the keywords of “expert retrieval”, “expert ranking”, and “ranking fusion”. [Methods] We analyzed research evaluating expert retrieval and fusion rankings, aiming to solve the issues of insufficiency of expert coverage and heavy computation of expert features. [Results] We found that most expert retrieval system adopted the relationship attribute fusion method, and the credibility of search results was decided by the users’ satisfaction and quality of the retrieved documents. Expert ranking was established by FRM, PageRank, D-S theory, social network and complex network analysis. Empirical research showed that the fusion ranking results were generally better than the baseline ones. [Limitations] More comparison of research among different ranking methods was needed. [Conclusions] Related studies help us building expert consulting platform from the perspective of expert information organization, expert selection and expert opinion fusion.

Key wordsExpert Retrieval      Ranking Fusion      Social Network      Relationship Attribute      Effect Evaluation     
Received: 12 September 2016      Published: 27 March 2017
:  G350  

Cite this article:

Ye Guanghui,Xia Lixin. Review of Expert Retrieval and Expert Ranking Studies. Data Analysis and Knowledge Discovery, 2017, 1(2): 1-10.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.02.01     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I2/1

[1] 李纲, 叶光辉, 张岩. “小众专家”特征识别研究——基于MetaFilter的实证分析[J]. 现代图书情报技术, 2015(6): 71-77.
[1] (Li Gang, Ye Guanghui, Zhang Yan.Feature Recognition of Niche Expert——Empirical Analysis Based on MetaFilter Dataset[J]. New Technology of Library and Information Service, 2015(6): 71-77.)
[2] 叶光辉, 李纲, 武川. 应急参考咨询团队构建模式研究[J]. 情报学报, 2015, 34(7): 734-742.
doi: 10.3772/j.issn.1000-0135.2015.007.008
[2] (Ye Guanghui, Li Gang, Wu Chuan.Research on Construction Mode of Emergency Experts Team for Virtual Reference[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(7): 734-742.)
doi: 10.3772/j.issn.1000-0135.2015.007.008
[3] 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.
doi: 10.3772/j.issn.1000-0135.2012.02.001
[3] (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.)
doi: 10.3772/j.issn.1000-0135.2012.02.001
[4] 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.
doi: 10.3772/j.issn.1000-0135.2012.03.003
[4] (Wang Yuefen, Wang Xuefen, Yan Duanwu.Prototype System Design and Implement of the Database About Science and Technical Consulting Experts Based on Social Network[J]. Journal of the China Society for Scientific and Technical Information, 2012, 31(3): 250-258.)
doi: 10.3772/j.issn.1000-0135.2012.03.003
[5] 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.
doi: 10.3969/j.issn.1000-0135.2008.05.003
[5] (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.)
doi: 10.3969/j.issn.1000-0135.2008.05.003
[6] 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.
doi: 10.3772/j.issn.1000-0135.2010.05.007
[6] (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.)
doi: 10.3772/j.issn.1000-0135.2010.05.007
[7] Fang Y, Si L, Mathur A.FacFinder: Search for Expertise in Academic Institutions[R]. West Lafayette: Purdue University, 2008.
[8] Ehrlich K, Lin C Y, Griffiths-Fisher V.Searching for Experts in the Enterprise: Combining Text and Social Network Analysis[C] // Proceedings of the 2007 International ACM Conference on Supporting Group Work. New York: ACM, 2007: 117-126.
[9] Lin C Y, Ehrlich K, Griffiths-Fisher V, et al.SmallBlue: People Mining for Expertise Search[J]. IEEE MultiMedia, 2008, 15(1): 78-84.
doi: 10.1109/MMUL.2008.17
[10] 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.
[10] (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.)
[11] 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.
[11] (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.)
[12] Fang Y, Si L, Mathur A P.Discriminative Probabilistic Models for Expert Search in Heterogeneous Information Sources[J]. Information Retrieval Journal, 2011, 14(2): 158-177.
doi: 10.1007/s10791-010-9139-3
[13] Fang Y, Si L, Mathur A P.Discriminative Models of Integrating Document Evidence and Document-Candidate Associations for Expert Search[C]//Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM, 2010: 683-690.
[14] MacDonald C, Ounis I. Using Relevance Feedback in Expert Search[C]// Proceedings of the European Conference on Information Retrieval. Berlin: Springer, 2007: 431-443.
[15] Fang H, Zhou L, Zhai C X.Language Models for Expert Finding--UIUC TREC 2006 Enterprise Track Experiments[C]//Proceedings of 15th Text Retrieval Conference(TREC 2006), Gaithersburg, Maryland, USA. 2006.
[16] Zhu J, Huang X, Song D, et al.Integrating Multiple Document Features in Language Models for Expert Finding[J]. Knowledge and Information Systems, 2010, 23(1): 29-54.
doi: 10.1007/s10115-009-0202-6
[17] Uddin M N, Duong T H, Oh K, et al.Expert Search and Rank with Social Network: An Ontology-Based Approach[J]. International Journal of Software Engineering and Knowledge Engineering, 2013, 23(1): 31-50.
doi: 10.1142/S0218194013400032
[18] Uddin M N, Duong T H, Oh K, et al.An Ontology Based Model for Experts Search and Ranking [A]// Lecture Notes in Computer Science[M]. New York: ACM, 2011, 6592(6): 150-160.
[19] Zhou G, Zhao J, He T, et al.An Empirical Study of Topic-Sensitive Probabilistic Model for Expert Finding in Question Answer Communities[J]. Knowledge-Based Systems, 2014, 66(9): 136-145.
doi: 10.1016/j.knosys.2014.04.032
[20] 王雪芬, 王曰芬. 专家库中的专家检索技术研究[J]. 情报理论与实践, 2011, 34(2): 96-99.
[20] (Wang Xuefen, Wang Yuefen.Research on Expert Retrieval Technical in Expert Database[J]. Information Studies: Theory & Application, 2011, 34(2): 96-99.)
[21] Farhadi F, Hoseini E, Hashemi S, et al.TeamFinder: A Co-clustering Based Framework for Finding an Effective Team of Experts in Social Networks[C]. In: Vreeken J, Ling C, Zaki M J, et al. Proceedings of the 2012 IEEE 12th International Conference on Data Mining Workshops. Washington: IEEE Computer Society, 2012: 107-114.
[22] Guan Z, Miao G, McLoughlin R, et al. Co-Occurrence-Based Diffusion for Expert Search on the Web[J]. IEEE Transactions on Knowledge and Data Engineering, 2013, 25(5): 1001-1014.
doi: 10.1109/TKDE.2012.49
[23] Sun J, Xu W, Ma J, et al.Leverage RAF to find Domain Experts on Research Social Network Services: A Big Data Analytics Methodology with MapReduce Framework[J]. International Journal of Production Economics, 2015, 165: 185-193.
doi: 10.1016/j.ijpe.2014.12.038
[24] 赵红斌, 陆伟. 专家研究领域自动识别研究[J]. 现代图书情报技术, 2010(2): 63-67.
[24] (Zhao Hongbin, Lu Wei.The Study of Expert Research Field Automatic Recognition[J]. New Technology of Library and Information Service, 2010(2): 63-67.)
[25] Van Gysel C, De Rijke M, Worring M.Unsupervised, Efficient and Semantic Expertise Retrieval[C]// Proceedings of the 25th International Conference on World Wide Web. New York: ACM, 2016: 1069-1079.
[26] Yang K, Huh S.Intelligent Search for Experts Using Fuzzy Abstraction Hierarchy in Knowledge Management Systems[J]. Journal of Database Management, 2007, 18(3): 47-68.
doi: 10.4018/jdm.2007070103
[27] Stankovic M, Jovanovic J, Laublet P.Linked Data Metrics for Flexible Expert Search on the Open Web[C]//Proceedings of the Extended Semantic Web Conference. 2011, 6643: 108-123.
[28] 方锴. 专家检索研究综述[J]. 科协论坛, 2013(2): 102-104.
doi: 10.3969/j.issn.1007-3973.2013.02.062
[28] (Fang Kai.A Review on Expert Retrieval[J]. Science & Technology Association Forum, 2013(2): 102-104.)
doi: 10.3969/j.issn.1007-3973.2013.02.062
[29] 武浩, 王美姣, 冯佳明, 等. 专家检索研究进展[J]. 计算机应用研究, 2010, 27(10): 3633-3638.
doi: 10.3969/j.issn.1001-3695.2010.10.007
[29] (Wu Hao, Wang Meijiao, Feng Jiaming, et al.Research Advance of Expert Finding[J]. Application Research of Computers, 2010, 27(10): 3633-3638.)
doi: 10.3969/j.issn.1001-3695.2010.10.007
[30] 陈霄咚, 丁浩. 专家寻找模型融合框架研究[J]. 计算机应用与软件, 2014, 31(12): 74-79.
doi: 10.3969/j.issn.1000-386x.2014.12.018
[30] (Chen Xiaodong, Ding Hao.On Fusion Framework for Expert Finding Models[J]. Computer Applications and Software, 2014, 31(12): 74-79.)
doi: 10.3969/j.issn.1000-386x.2014.12.018
[31] 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.
doi: 10.1016/j.eswa.2013.04.001
[32] 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.
doi: 10.1016/j.dss.2012.12.020
[33] 王平, 程齐凯. 网络信息可信度评估的研究现状及述评[J]. 信息资源管理学报, 2013, 3(1): 46-52.
[33] (Wang Ping, Cheng Qikai.Review and Progress in Research on Credibility Evaluation of Information on the Web[J]. Journal of Information Resources Management, 2013, 3(1): 46-52.)
[34] 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.
[34] (Deng Fayun.Information Credibility on User Demand[D]. Chengdu: Southwest Jiaotong University, 2006.)
[35] 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.
doi: 10.3969/j.issn.1001-4098.2004.06.021
[35] (Liang Liang, Xiong Li, Wang Guohua.A New Method of Determining the Reliability of Decision-Makers in Group Decision[J]. Systems Engneering, 2004, 22(6): 91-94.)
doi: 10.3969/j.issn.1001-4098.2004.06.021
[36] Zhao H X, Yang J P, Wang J.Evaluation Model of Credibility of E-Commerce Website Using Fuzzy Multi-Attribute Group Decision Making: Based on Fuzzy Structured Element[C]// Proceedings of the Fuzzy Information and Engineering 2010. Berlin & Heidelberg: Springer, 2010: 417-424.
[37] 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.
[37] (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.)
[38] 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.
[38] (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.)
[39] 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(7/8): 107-113.
[39] (Li Gang, Ye Guanghui.Research on Credibility Evaluation Mechanism of Experts Retrieval Under User’s Control[J]. New Technology of Library and Information Service, 2014(7/8): 107-113.)
[40] Börner K, Dall’Asta L, Ke W, et al. Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-authorship Teams[J]. Complexity, 2005, 10(4): 57-67.
doi: 10.1002/cplx.20078
[41] Kim H, Park S Y, Bozeman I.Online Health Information Search and Evaluation: Observations and Semi-Structured Interviews with College Students and Maternal Health Experts[J]. Health Information & Libraries Journal, 2011, 28(3): 188-199.
doi: 10.1111/j.1471-1842.2011.00948.x pmid: 21831218
[42] Wu M, Thom J A, Turpin A, et al.Cost and Benefit Analysis of Mediated Enterprise Search[C]//Proceedings of the 2009 ACM/IEEE Joint Conference on Digital Libraries.New York: ACM, 2009: 267-276.
[43] Wu M, Turpin A, Thom J A, et al.Cost and Benefit Estimation of Experts’ Mediation in an Enterprise Search[J]. Journal of the Association for Information Science & Technology, 2014, 65(1): 146-163.
[44] Liebregts R, Bogers T.Design and Evaluation of a University-Wide Expert Search Engine[C]// Proceedings of the European Conference on Information Retrieval.Springer, 2009: 587-594.
[45] Jefferson T I, Nagy T J.A Domain-Driven Approach to Improving Search Effectiveness in Traditional Online Catalogs[J]. Information & Management, 2002, 39(7): 559-570.
doi: 10.1016/S0378-7206(01)00116-1
[46] MacDonald C, Ounis I. The Influence of the Document Ranking in Expert Search[J]. Information Processing & Management, 2011, 47(3): 376-390.
[47] MacDonald C, Ounis I. On Perfect Document Rankings for Expert Search[C]//Proceedings of the 32nd International ACM SIGIR Conference on Research & Development in Information Retrieval. New York: ACM, 2009: 740-741.
[48] Kim S W, Chung C W.Ranking Web Documents with Dynamic Evaluation by Expert Groups[C]//Proceedings of the International Conference on Advanced Information Systems Engineering. Berlin: Springer, 2003: 437-448.
[49] Noll M G, Au Yeung C M, Gibbins N, et al. Telling Experts from Spammers: Expertise Ranking in Folksonomies[C]// Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM, 2009: 612-619.
[50] Noll M G, Meinel C.Web Search Personalization via Social Bookmarking and Tagging[C]//Proceedings of the 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference.2007: 367-380.
[51] Wu S, Crestani F.A Geometric Framework for Data Fusion in Information Retrieval[J]. Information Systems, 2012, 50: 20-35.
[52] Wang Y, Zhang L J, Ning K, et al.Experts Ranking on the Enterprise Microblogging Based on the PageRank Algorithm[C]//Proceedings of the 2012 IEEE Asia-Pacific Services Computing Conference. Washington: IEEE Computer Society, 2012: 345-349.
[53] Jin L, Yoon J Y, Kim Y H, et al.Based on Analyzing Closeness and Authority for Ranking Expert in Social Network[C]//Proceedings of the 7th International Conference on Advanced Intelligent Computing Theories and Applications: with Aspects of Artificial Intelligence.Berlin: Springer, 2011: 277-283.
[54] Moreira C, Calado P, Martins B.Learning to Rank for Expert Search in Digital Libraries of Academic Publications[C]// Proceedings of the Portuguese Conference on Artificial Intelligence. Berlin: Springer, 2011: 431-445.
[55] Wu H, Li H, Zhang X, et al.Topic-Sensitive Link-Ranking Approach for Academic Expert Recruiting[C]//Proceedings of the 2008 International Multi-Symposiums on Computer and Computational Sciences. Washington: IEEE Computer Society, 2008: 150-157.
[56] 詹镇江. 基于专家与用户关系的社会化专家搜索[D]. 上海: 上海交通大学, 2012.
[56] (Zhan Zhenjiang.Socialized Expert Finding Based on the Relationship Between Experts and the Users [D]. Shanghai: Shanghai Jiaotong University, 2012.)
[57] 张波. 基于LDA的微博服务专家定位方法研究[D]. 上海: 华东师范大学, 2013.
[57] (Zhang Bo.The Research on Expert Location in Microblogging Based on LDA [D]. Shanghai: East China Normal University, 2013.)
[58] Santos R L T, MacDonald C, Ounis I. Mimicking Web Search Engines for Expert Search[J]. Information Processing & Management, 2011, 47(4): 467-481.
doi: 10.1016/j.ipm.2010.11.009
[59] MacDonald C, Ounis I.Voting Techniques for Expert Search[J]. Knowledge & Information Systems, 2008, 16(3): 259-280.
doi: 10.1007/s10115-007-0105-3
[60] Mourão A, Martins F, Magalhães J.Multimodal Medical Information Retrieval with Unsupervised Rank Fusion[J]. Computerized Medical Imaging & Graphics, 2014, 39: 35-45.
[61] Yang Y, Han D, Han C, et al.A Novel Approximation of Basic Probability Assignment Based on Rank-Level Fusion[J]. Chinese Journal of Aeronautics, 2013, 26(4): 993-999.
doi: 10.1016/j.cja.2013.04.061
[62] Nuray R, Can F.Automatic Ranking of Information Retrieval Systems Using Data Fusion[J]. Information Processing & Management, 2006, 42(3): 595-614.
doi: 10.1016/j.ipm.2005.03.023
[63] Franceschini F, Maisano D, Mastrogiacomo L.A Paired- Comparison Approach for Fusing Preference Orderings from Rank-Ordered Agents[J]. Information Fusion, 2015, 26: 84-95.
doi: 10.1016/j.inffus.2015.01.004
[64] Franceschini F, Maisano D, Mastrogiacomo L.A Novel Algorithm for Fusing Preference Orderings by Rank-ordered Agents[J]. Fuzzy Sets & Systems, 2015, 266: 84-100.
doi: 10.1016/j.fss.2014.09.011
[65] Zhao W, Guan Z, Liu Z.Ranking on Heterogeneous Manifolds for Tag Recommendation in Social Tagging Services[J]. Neurocomputing, 2015, 148: 521-534.
doi: 10.1016/j.neucom.2014.07.011
[1] Wang Xiwei,Jia Ruonan,Wei Yanan,Zhang Liu. Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network[J]. 数据分析与知识发现, 2021, 5(6): 25-35.
[2] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[3] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[4] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[5] Xu Yabin, Sun Qiutian. Identifying Leaders and Dissemination Paths of Public Opinion[J]. 数据分析与知识发现, 2021, 5(2): 32-42.
[6] Peng Guan,Yuefen Wang. Advances in Patent Network[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[7] Yan Wen,Lijian Ma,Qingtian Zeng,Wenyan Guo. POI Recommendation Based on Geographic and Social Relationship Preferences[J]. 数据分析与知识发现, 2019, 3(8): 30-39.
[8] Liqing Qiu,Wei Jia,Xin Fan. Influence Maximization Algorithm Based on Overlapping Community[J]. 数据分析与知识发现, 2019, 3(7): 94-102.
[9] Xiaolan Wu,Chengzhi Zhang. Analysis of Knowledge Flow Based on Academic Social Networks:
A Case Study of ScienceNet.cn
[J]. 数据分析与知识发现, 2019, 3(4): 107-116.
[10] Xinrui Wang,Yue He. Predicting Stock Market Fluctuations with Social Media Behaviors: Case Study of Sina Finance Blog[J]. 数据分析与知识发现, 2019, 3(11): 108-119.
[11] Wu Jiehua,Shen Jing,Zhou Bei. Classifying Multilayer Social Network Links Based on Transfer Component Analysis[J]. 数据分析与知识发现, 2018, 2(9): 88-99.
[12] Ye Guanghui,Hu Jinglan,Xu Jian,Xia Lixin. Analyzing Growth Trends and Attachment Mode of Social Blog Tags[J]. 数据分析与知识发现, 2018, 2(6): 70-78.
[13] Guo Bo,Zhao Junrui,Sun Yu. Analyzing Characteristics and Dynamics of User Behaviors in Social Q&A Community: Case Study of Zhihu.com[J]. 数据分析与知识发现, 2018, 2(4): 48-58.
[14] Wang Feifei,Zhang Shengtai. Analyzing Information Behaviors of Mobile Social Network Users[J]. 数据分析与知识发现, 2018, 2(4): 99-109.
[15] Zhang Ling,Luo Manman,Zhu Lijun. Analyzing Information Dissemination on Social Networks[J]. 数据分析与知识发现, 2018, 2(2): 46-57.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn