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Expert Recommender: Designing for a Network Organization

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Learning in Communities

Part of the book series: Human-Computer Interaction Series ((HCIS))

Abstract

Recent knowledge management initiatives focus on expertise sharing within formal organizational units and informal communities of practice. Expert recommender systems seem to be a promising tool in support of these initiatives. This paper presents experiences in designing an expert recommender system for a knowledge- intensive organization, namely the National Industry Association (NIA). Field study results provide a set of specific design requirements. Based on these requirements, we have designed an expert recommender system which is integrated into the specific software infrastructure of the organizational setting. The organizational setting is, as we will show, specific for historical, political, and economic reasons. These particularities influence the employees’ organizational and (inter-)personal needs within this setting. The paper connects empirical findings of a long-term case study with design experiences of an expertise recommender system.

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Notes

  1. 1.

    1“NIA” is actually not the real name but a pseudonym.

  2. 2.

    2Member-centered communication spaces may include some topic-centred functionality. However, their design assumes a rather stable group of users basically known to each other.

  3. 3.

    3In the following we will use the term “sector” in the sense of branch of industry, whereas “section” will refer to NIA’s sectoral departments.

  4. 4.

    4Since about 10 years there are additional organizations which offer networking and knowledge services to — mainly small and medium sized — companies. NIA, however, is the only officially recognized industry representation in these branches. Thus, it can provide exclusive links to political committees and policy-makers.

  5. 5.

    5As an example, some agricultural companies need support from the “agricultural technology” and from the “pumps and system” section since many agricultural machines and tractors are additionally equipped with systems and machines that are developed by member companies of other sections.

  6. 6.

    6About 20 users participated in evaluating the expertise recommender. We conducted another 21 more interviews and workplace observations with users (some of them twice at different stages) during the evaluation period. These participants overlapped partly with those of the early empirical study.

  7. 7.

    7This importance is defined by two major criteria: first, the actual size of a member company, as the membership subscription is based on size, and second, by micropolitical considerations regarding the engagement of a member company within NIA’s policies.v

  8. 8.

    8These experts may work in certain horizontal sections (e.g., the agricultural section) or in vertical sections (e.g., the IT or standardization department).

  9. 9.

    9It becomes obvious from the empirical findings that not only high level expert knowledge is requested. Even lower degrees and different aspects of “expertise” (namely interests, experiences, activities, or abilities) belong to the requested properties (cf. Hinds & Pfeffer, 2003 or Ackerman et al., 2003a,b).

  10. 10.

    10We believed that such a design approach would also improve the quality of the keyword vector since we included only relevant documents for matching.

  11. 11.

    11The Web Service interface allows only for expertise recommendations. Since local creation of the users’ keyword profiles is a central part of our approach and a Web Service would require uploading entire files, the client system still needs to be installed locally in order to generate and eventually edit keyword profiles before uploading them.

  12. 12.

    12MS Excel files are widely used as well at NIA. However, Excel files are not yet supported since we assumed these files to include numbers rather than meaningful keywords. Our latest investigations show that this is actually not true for NIA since some Excel sheets appeared to include meaningful keywords. Hence, support for Excel files will be included in the next version of the system.

  13. 13.

    13Partial matches (truncations) are considered as matches of “lower quality”. Accordingly, in cases of partial matches a smaller value is added to the matching result, due to the number of matching letters.

  14. 14.

    14TF/IDF stands for Term Frequency Inversed Document Frequency. Compared to simple term frequency, this method provides a better understanding of the keyword’s importance in the context of the other user profiles (cf. Salton & McGill, 1983).

  15. 15.

    15Presenting this method in detail would exceed the scope of this paper. Therefore, we refer to Berry et al. (1995) for a detailed description.

  16. 16.

    16The current implementation offers information on the quality of the automatically generated recommendations. However, in case member companies deploy the system to a large extend, we may need to reconsider the display of too many details at this point. For example, NIA may not like to let its member companies know that the best match with regard to a ‘hot topic’ has a score of only 26%.

  17. 17.

    17NIA’s employees are used to work with these sets of data and do not want to maintain additional information.

References

  • Ackerman, M.S. (1998) Augmenting organizational memory: a field study of answer garden. ACM Transactions on Information Systems (TOIS), 16(3), 203–224.

    Article  Google Scholar 

  • Ackerman, M.S. and Halverson, Ch. (2004) Sharing expertise: the next step for knowledge management. In: Huysman, M.H. and Wulf, V. (eds.), Social Capital and Information Technology. MIT Press, Cambridge, MA, pp. 273–299.

    Google Scholar 

  • Ackerman, M.S. and Malone, T.W. (1990) Answer Garden: a tool for growing organizational memory. In: Proceedings of the ACM Conference on Office Information Systems. ACM Press, New York, pp. 31–39.

    Chapter  Google Scholar 

  • Ackerman, M.S., Pipek, V., and Wulf, V. (eds.) (2003a) Beyond Knowledge Management: Sharing Expertise. MIT Press, Cambridge, MA.

    Google Scholar 

  • Ackerman, M.S., Swenson, A., Cotterill, S., and DeMaagd, C. (2003b) I-DIAG: from community discussion to knowledge distillation. In: Huysman, M., Wenger, E., and Wulf, V. (eds.), Communities and Technologies. Kluwer, Dordrecht, pp. 307–326.

    Chapter  Google Scholar 

  • Alonso, G., Casati, F., Kuno, H., and Machiraju, V. (2003) Web Services — Concepts, Architectures and Applications. Springer, Berlin.

    Google Scholar 

  • Apache POI (2005) http://jakarta.apache.org/poi/, seen November 2005.

  • Becks, A., Reichling, T., and Wulf, V. (2004) Expertise finding: approaches to foster social capital. In: M. Huysman and V. Wulf (eds.), Social Capital and Information Technology. MIT Press, Cambridge, MA, pp. 333–354.

    Google Scholar 

  • Belotti, V. and Sellen, A. (1993) Design for privacy in ubiquitous computing environments. In: de Michelis, G., Simone, C., and Schmidt, K. (eds.), Proceedings of the Third Conference on Computer-Supported Cooperative Work — ECSCW’93. Kluwer, Dordrecht, 77–92.

    Google Scholar 

  • Bergmann, J.R. (2003) Ethnomethodologie. In: Flick, U., von Kardorff, E., and Steinke, I. (eds.), Qualitative Forschung: Ein Handbuch. Rowohlt Taschenbuch Verlag, Hamburg, pp. 118–135.

    Google Scholar 

  • Berry, M.W., Dumais, S.T., and O’Brien, G.W. (1995) Using linear algebra for intelligent information retrieval. SIAM Review, 37(4), 573–595.

    Article  MathSciNet  MATH  Google Scholar 

  • Buckingham Shum, S. (1997) Negotiating the construction and reconstruction of organisational memories. Journal of Universal Computer Science (Special Issue on IT for Knowledge Management), 3(8), 899–928.

    Google Scholar 

  • Chapman, R. (2004) Pearls of wisdom: social capital building in informal learning environments. In: Huysman, M.H. and Wulf, V. (eds.), Social Capital and Information Technology. MIT Press, Cambridge, MA, pp. 310–333.

    Google Scholar 

  • Cohen, D. and Prusak, L. (2001) In Good Company: How Social Capital Makes Organizations Work. Harvard Business School Press, Boston.

    Google Scholar 

  • Deerwester, S., Dumais, S., Furnas, G., Landauer, T., and Harshman, R. (1990) Indexing by latent semantic analysis. Journal of the American Society of Information Science, 41(6), 391–407.

    Article  Google Scholar 

  • Ehrlich, K. (2003) Locating expertise: design issues for an expertise locator system. In: Ackerman, M., Pipek, V., and Wulf, V. (eds.), Sharing Expertise — Beyond Knowledge Management. MIT Press, Cambridge, MA, pp. 137–158.

    Google Scholar 

  • Flick, U. (2002) Qualitative Sozialforschung: Eine Einführung. Rowohlt Taschenbuch Verlag, Hamburg.

    Google Scholar 

  • Foner, L.N. (1997) Yenta: a multi-agent, referral-based matchmaking system. In: Proceedings of the First International Conference on Autonomous Agents. ACM Press, New York, pp. 301–307.

    Chapter  Google Scholar 

  • Groth, K. and Bowers, J. (2001) On finding things out: situated organizational knowledge in CSCW. In: Proceedings of the 7th ECSCW. Kluwer, Dordrecht, pp. 279–298.

    Google Scholar 

  • Harper, R., Randall, D., and Rouncefield, M. (2000) Organizational Change and Retail Finance: An Ethnographic Approach. Routledge, London.

    Google Scholar 

  • Heyer, G., Quasthoff, U., and Wolff, Ch. (2002) Möglichkeiten und Verfahren zur automatischen Gewinnung von Fachbegriffen aus Texten. http://wortschatz.informatik.uni-leipzig.de/asv/publikationen/HeyFachbegriffe100902_OnlinePDF.pdf, seen: 20 November 2004.

  • Huysman, M. and de Wit, D. (2004) Practise of managing knowledge sharing: towards a second wave of knowledge management. Knowledge and Process Management, 11(2), 81–92.

    Article  Google Scholar 

  • Huysman, M. and Wulf, V. (2004) Social Capital and Information Technology. MIT Press, Cambridge, MA.

    Google Scholar 

  • Kautz, H.A., Selman, B., and Shak, M. (1997a) Referral web: combining social networks and collaborative filtering. Communications of the ACM, 40(3), 63–65.

    Article  Google Scholar 

  • Kautz, H.A., Selman, B., and Shak, M. (1997b) The hidden web. AI Magazine, 18(2), 27–36.

    Google Scholar 

  • Lindgren, R., Henfriedsson, O., and Schultze, U. (2004) Design principles for competence management systems: a synthesis of an action research study. MIS Quarterly, 28, 435–427.

    Google Scholar 

  • Maybury, M., D’Amore, R., and House, D. (2003) Automated discovery and mapping of expertise. In: Ackerman, M., Pipek, V., and Wulf, V. (eds.), Expertise Sharing: Beyond Knowledge Management. MIT Press, Cambridge, MA, pp. 359–382.

    Google Scholar 

  • McArthur, R. and Bruza, P. (2003) Discovery of implicit and explicit connections between people using email utterance. In: ECSCW 2003 — Proceedings of the Eighth Conference on Computer Supported Cooperative Work, Helsinki, Finland, pp. 21–40.

    Google Scholar 

  • McDonald, D.W. (2000) Supporting Nuance in Groupware Design: Moving from Naturalistic Expertise Location to Expertise Recommendation. Ph.D. Thesis. University of California, Irvine.

    Google Scholar 

  • McDonald, D.W. (2003) Recommending collaboration with social networks: a comparative evaluation. In: Proceedings of the 2003 ACM Conference on Human Factors in Computer Systems, Ft. Lauderdale, pp. 593–600.

    Google Scholar 

  • Normark, M. and Randall, D. (2005) Local expertise at an emergency call centre. In: Proceedings of the Ninth European Conference on Computer Supported Cooperative Work. Springer, Dordrecht, pp. 347–366.

    Google Scholar 

  • Orlikowski, W.J. (1996) Evolving with notes: organizational change around groupware technology. In: Ciborra, C. (ed.), Groupware & Teamwork. Wiley, Chichester, pp. 23–60.

    Google Scholar 

  • PDFBox (2005) http://www_OnlinePDF.pdfbox.org/, seen December 2005.

    Google Scholar 

  • Pipek, V. and Won, M. (2000) Wissenslandschaften und Kommunikation, Position Paper for the Workshop on ‘Communication and Cooperation in Knowledge Communities’ German Conference on Computer-Supported Cooperative Work (DCSCW), München, 2000.

    Google Scholar 

  • Pipek, V. and Wulf, V. (1999) A groupware’s life. In: Proceedings of the Sixth European Conference on Computer Supported Cooperative Work, ECSCW’99. Kluwer, Dordrecht, pp. 199–218.

    Google Scholar 

  • Pipek, V. and Wulf, V. (2003) Pruning the answer garden: knowledge sharing in maintenance engineering. In: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work (ECSCW 2003), Helsinki, Finland, 14–18 September. Kluwer, Dordrecht, pp. 1–20.

    Google Scholar 

  • Pipek, V., Hinrichs, J., and Wulf, V. (2003) Sharing expertise: challenges for technical support. In: Ackerman, M., Pipek, V., and Wulf, V. (eds.), Sharing Expertise — Beyond Knowledge Management. MIT Press, Cambridge, MA, pp. 111–136.

    Google Scholar 

  • Pohs, W., Pinder, G., Dougherty, C., and White, M. (2001) The lotus knowledge discovery system: tools and experiences. IBM Systems Journal, 40(4), 956–966.

    Article  Google Scholar 

  • Randall, D. and Bentley, R. (1994) Tutorial on ‘Ethnography and collaborative systems development II: practical application in a commercial context’. CSCW’94, Chapel Hill, North Carolina, September 1994.

    Google Scholar 

  • Reichling, T. and Veith, M. (2005) Expertise sharing in a heterogeneous organizational environment. In: Proceedings of the Ninth European Conference on Computer Supported Cooperative Work. Springer, Dordrecht, pp. 325–345.

    Google Scholar 

  • Reichling, T., Schubert, K., and Wulf, V. (2005) Matching human actors based on their texts: design and evaluation of an instance of the expert finding framework. In: Proceedings of GROUP 2005. ACM Press, New York.

    Google Scholar 

  • Rohde, M. (2006) Integrated organization and technology development (OTD) — a process model for action research. Ph.D. Thesis. Department of Communication, Journalism and Computer Science, Roskilde University, Roskilde.

    Google Scholar 

  • Salton, G. and McGill, M.J. (1983) Introduction to Modern Information Retrieval. McGraw-Hill, New York.

    MATH  Google Scholar 

  • Schirmer, A.L. (2003) Privacy and knowledge management: challenges in the design of the lotus discovery server. IBM Systems Journal, 42(3), 519–531.

    Article  Google Scholar 

  • Schmidt, C. (2003) Analyse von Leitfadeninterviews. In: Flick, U., von Kardorff, E., and Steinke, I. (eds.), Qualitative Forschung: Ein Handbuch. Rowohlt Taschenbuch Verlag, Hamburg, pp. 447–456.

    Google Scholar 

  • Stahl, G. and Herrmann, T. (1999) Intertwining perspectives and negotiation. In: International Conference on Supporting Group Work (GROUP’99). ACM Press, New York, pp. 316–325.

    Chapter  Google Scholar 

  • Streeter, L.A. and Lochbaum, K.E. (1988) Who knows: a system based on automatic representation of semantic structure. In: RIAO’88, Cambridge, MA, pp. 380–388.

    Google Scholar 

  • Tyler, J.R., Wilkinson, D.M., and Huberman, B.A. (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Huysman, M., Wenger, E., and Wulf, V. (eds.), Communities and Technologies 2003. Kluwer, Dordrecht, pp. 81–96.

    Chapter  Google Scholar 

  • Vignollet, L., Plu, M., Marty, J.C., and Agosto, L. (2005) Regulation mechanisms in an open social media using a contact recommender system. In: Proceedings of Communities and Technologies (C&T 2005). Springer, Dordrecht, pp. 419–436.

    Chapter  Google Scholar 

  • Vivacque, A. and Lieberman, H. (2000) Agents to assist in finding help. In: Proceedings in the Conference on Human Computer Interaction (CHI 2000). ACM Press, New York, pp. 65–72.

    Google Scholar 

  • Winograd, T. (1987–88) A language/action perspective on the design of cooperative work. Human-Computer Interaction, 3(1), 3–30.

    Article  Google Scholar 

  • Won, M. and Pipek, V. (2003) Sharing knowledge on knowledge — the eXact peripheral expertise awareness system. Journal of Universal Computer Science, 9(12), 1388–1397.

    Google Scholar 

  • Wulf, V. and Rohde, M. (1995) Towards an integrated organization and technology development. In: Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, & Techniques. ACM Press, New York, pp. 55–64.

    Chapter  Google Scholar 

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Acknowledgments

The research has been funded by the German Federal Ministry for Economics and Technology. During the time of writing, Volker Wulf was supported by a Fulbright Scholarship. We would like to thank April Bowen, Andrea Bernards, and Aditya Johri for proof reading the manuscript.

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Reichling, T., Veith, M., Wulf, V. (2009). Expert Recommender: Designing for a Network Organization. In: Carroll, J.M. (eds) Learning in Communities. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84800-332-3_14

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