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Topic-Centric Candidate Priors for Expert Finding Models

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Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

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Abstract

To improve the performance of the expert finding system, a topic-centric candidate priors (TCCP) model was proposed. This model treated the documents as mixtures of topics. The topics of the candidates and terms were then used as latent variables to calculate the candidate priors. Latent Dirichlet Allocation (LDA) was utilized to find the topics. Finally, the parameters of the model were estimated using Gibbs sampling. The performance of the proposed model was evaluated using the CSIRO Enterprise Research Collection. The results showed that the performance of the expert finding system was dramatically improved by using the candidate priors estimated by the TCCP model. Compared to classical models, the proposed candidate priors model exploited the information in the whole data corpus and thus furnished more reasonable candidate priors.

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References

  1. Li, M., Liu, L., Li, C.-B.: An approach to expert recommendation based on fuzzy linguistic method and fuzzy text classification in knowledge management systems. Expert Syst. Appl. 38, 8586–8596 (2011)

    Article  Google Scholar 

  2. Guan, Z., Miao, G., McLoughlin, R., Yan, X., Cai, D.: Co-Occurrence Based Diffusion for Expert Search On the Web. IEEE Transactions on Knowledge and Data Engineering, 1 (2012)

    Google Scholar 

  3. Fang, Y., Si, L., Mathur, A.: Discriminative probabilistic models for expert search in heterogeneous information sources. Information Retrieval 14, 158–177 (2011)

    Article  Google Scholar 

  4. Yang, K.-W., Huh, S.-Y.: Automatic expert identification using a text categorization technique in knowledge management systems. Expert Systems with Applications 34, 1445–1455 (2008)

    Article  Google Scholar 

  5. Balog, K.: People Search in the Enterprise. PhD. University of Amsterdam, Amsterdam (2008)

    Google Scholar 

  6. Liu, J., Zhang, Y., Liu, B., Zha, Y.: A DocRank-based document priors model for expert search. In: The 2012 International Conference on Intelligence Science and Information Engineering, pp. 62–65. Atlantis Press, Pairs (2012)

    Google Scholar 

  7. Macdonald, C., Ounis, I.: The influence of the document ranking in expert search. Information Processing & Management 47, 376–390 (2011)

    Article  Google Scholar 

  8. Deng, H., King, I., Lyu, M.R.: Formal Models for Expert Finding on DBLP Bibliography Data. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 163–172 (2008)

    Google Scholar 

  9. Balog, K., De Rijke, M.: Combining Candidate and Document Models for Expert Search. In: The Seventeenth Text Retrieval Conference Proceedings (TREC 2008). NIST (2008)

    Google Scholar 

  10. Griffiths, T.L., Steyvers, M.: A probabilistic approach to semantic representation, pp. 381–386. Citeseer (Year)

    Google Scholar 

  11. Hofmann, T.: Probabilistic latent semantic analysis. In: The Fifteenth Conference on Uncertainty in Artifical Intelligence (Year)

    Google Scholar 

  12. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    MATH  Google Scholar 

  13. Steyvers, M., Griffiths, T.: Probabilistic topic models. In: Handbook of Latent Semantic Analysis, vol. 427, pp. 424–440 (2007)

    Google Scholar 

  14. Blei, D., Lafferty, J.: Topic models. In: Srivastava, A., Sahami, M. (eds.) Text Mining: Classification, Clustering, and Applications. Taylor & Francis, London (2009)

    Google Scholar 

  15. Andon, P.: Accounting-related research in PPPs/PFIs: present contributions and future opportunities. Accounting, Auditing & Accountability Journal 25(5), 876 (2012)

    Article  Google Scholar 

  16. Lord, A., Tewdwr-Jones, M.: Is Planning “Under Attack”? Chronicling the Deregulation of Urban and Environmental Planning in England. European Planning Studies 1 (2012)

    Google Scholar 

  17. Hodges, R.: Joined-Up Government and the Challenges to Accounting and Accountability Researchers. Financial Accountability & Management 28(1) (2012)

    Google Scholar 

  18. Mahony, P., Hextall, I., Richardson, M.: ‘Building Schools for the Future’: reflections on a new social architecture. Journal of Education Policy 26(3), 341 (2011)

    Article  Google Scholar 

  19. Demirag, I., Khadaroo, I.: Accountability and value for money: a theoretical framework for the relationship in public–private partnerships. Journal of Management & Governance 15(2), 271 (2011)

    Article  Google Scholar 

  20. Toms, S., Beck, M., Asenova, D.: Accounting, regulation and profitability: The case of PFI hospital refinancing. Critical Perspectives on Accounting 22(7), 668 (2011)

    Article  Google Scholar 

  21. Appuhami, R., Perera, S., Perera, H.: Coercive Policy Diffusion in a Developing Country: The Case of Public-Private Partnerships in Sri Lanka. Journal of Contemporary Asia 41(3), 431 (2011)

    Article  Google Scholar 

  22. Hodkinson, S.: The Private Finance Initiative in English Council Housing Regeneration: A Privatisation too Far? Housing Studies 26(6), 911 (2011)

    Article  Google Scholar 

  23. Arnaboldi, M., Lapsley, I.: Asset management in cities: polyphony in action? Accounting, Auditing & Accountability Journal 23(3), 392 (2010)

    Article  Google Scholar 

  24. Rangel, T., Galende, J.: Innovation in public–private partnerships (PPPs): the Spanish case of highway concessions. Public Money & Management 30(1), 49 (2010)

    Article  Google Scholar 

  25. English, L., Baxter, J.: The Changing Nature of Contracting and Trust in Public-Private Partnerships: The Case of Victorian PPP Prisons. Abacus 46(3) (2010)

    Google Scholar 

  26. Hyndman, N., McDonnell, P.: Governance and Charities: An Exploration of Key Themes and the Development of a Research Agenda. Financial Accountability & Management 25(1) (2009)

    Google Scholar 

  27. Hillier, J., Wezemael, J.V.: ‘Empty, Swept and Garnished’: the Public Finance Initiative case of Throckley Middle School. Space and Polity 12(2), 157 (2008)

    Article  Google Scholar 

  28. Benito, B., Montesinos, V., Bastida, F.: An example of creative accounting in public sector: The private financing of infrastructures in Spain. Critical Perspectives on Accounting 19(7), 963 (2008)

    Article  Google Scholar 

  29. Athiyo, R., Smith, N.J., Aritua, B.: Private finance for the delivery of school projects in England. Proceedings of the ICE - Management, Procurement and Law 161(4), 141 (2008)

    Google Scholar 

  30. Broadbent, J., Guthrie, J.: Public sector to public services: 20 years of “contextual” accounting research. Accounting, Auditing & Accountability Journal 21(2), 129 (2008)

    Article  Google Scholar 

  31. Khadaroo, I.: The actual evaluation of school PFI bids for value for money in the UK public sector. Critical Perspectives on Accounting 19(8), 1321 (2008)

    Article  Google Scholar 

  32. Jones, M.J., Mellett, H.J.: Determinants of changes in accounting practices: Accounting and the UK Health Service. Critical Perspectives on Accounting 18(1), 91 (2007)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China, 410073

    Jian Liu, Baohong Liu & Qi Li

  2. Fourth Military Medical University, Xi’an, Shaanxi, 710032, China

    Jian Liu & Baojuan Li

Authors
  1. Jian Liu
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  2. Baojuan Li
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  3. Baohong Liu
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  4. Qi Li
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Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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Liu, J., Li, B., Liu, B., Li, Q. (2013). Topic-Centric Candidate Priors for Expert Finding Models. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_25

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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