Abstract
Every single company or institution wants to utilize its resources in the most efficient way and one of the most important resources is knowledge. In the paper, a new SocLaKE system is introduced. It exploits the social network existing within the organization together with information about expertise of community members to recommend the best way to get the answer over the chains of acquaintances. The explanation how the system recommends people and experiments on the sample social network are presented as well.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Balog, K., Azzopardi, L., de Rijke, M.: Formal models for expert finding in enterprise corpora. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, p. 50. ACM, New York (2006)
Banerjee, A., Basu, S.: A social query model for decentralized search. In: Proceedings of the 2nd Workshop on Social Network Mining and Analysiss. ACM, New York (2000)
Banerjee, A., Basu, S.: A Social Query Model for Distributed Search. University of Minnesota, Minneapolis (2008)
Benbya, H.: Knowledge Management Systems Implementation: Lessons from the Silicon Valley. Chandos Publishing, Cambridge (2008)
Campbell, C.S., Maglio, P.P., Cozzi, A., Dom, B.: Expertise identification using email communications. In: Information and Knowledge Management, pp. 528–531 (2003)
Carrington, P.J., Scott, J., Wasserman, S.: Models and Methods in Social Network Analysis. Cambridge University Press, Cambridge (2005)
Davitz, J., Yu, J., Basu, S., Gutelius, D., Harris, A.: iLink: search and routing in social networks. In: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, p. 940 (2007)
de Oliveira da Silva, F.E., Motta, C.L.R., Santoro, F.M.: A Social Matching Approach to Support Team Configuration. In: Fonseca, B. (ed.) CRIWG 2009. LNCS, vol. 5784, pp. 49–64. Springer, Heidelberg (2009)
DiMicco, J.M., Yankelovich, N.: Constellation: Using Visualization to Find the Path to Experts. Poster Presentation at the ACM GROUP Conference, New York (2007)
Iwata, T., Saito, K., Yamada, T.: Modeling user behavior in recommender systems based on maximum entropy. In: Proceedings of the 16th international conference on World Wide Web, p. 1282. ACM, New York (2007)
Kazienko, P.: Web-Based Recommender Systems and User Needs - the Comprehensive View. Frontiers in Artificial Intelligence and Applications 181, 243–258 (2008)
Kazienko, P., Musiał, K., Kajdanowicz, T.: Multidimensional Social Network in the Social Recommender System. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans (accepted, in press, 2010)
Maybury, M.T.: Expert Finding Systems. Mitre McLean (2006)
McInerney, C.: Knowledge Management and the Dynamic Nature of Knowledge. Journal of the American Society for Information Science and Technology 53(12), 1009–1018 (2002)
Montaner, M., López, B., de la Rosa, J.L.: A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review 19, 285–330 (2003)
Rosner, D., Grote, B., Hartman, K., Hofling, B., Guericke, O.: From natural language documents to sharable product knowledge: a knowledge engineering approach. The Journal of Universal Computer Science 3, 955–987 (1997)
Schafer, J.B., Konstan, J.A., Rield, J.: E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery 5, 115–153 (2001)
Scott, J.: Social network analysis: A handbook, 2nd edn. Sage Publications Ltd., London (2000)
Shami, N.S., Yuan, Y.C., Cosley, D., Xia, L., Gay, G.: That’s what friends are for: facilitating’who knows what’across group boundaries. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work, pp. 379–382. ACM, New York (2007)
Stefanelli, M.: Knowledge management to support performance-based medicine. Methods Inf. Med. 41(1), 36–43 (2002)
Strogatz, S.H.: Exploring complex networks. Nature 410, 63–65 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kukła, G., Kazienko, P., Bródka, P., Filipowski, T. (2010). Recommendation Boosted Query Propagation in the Social Network. In: Bolc, L., Makowski, M., Wierzbicki, A. (eds) Social Informatics. SocInfo 2010. Lecture Notes in Computer Science, vol 6430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16567-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-16567-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16566-5
Online ISBN: 978-3-642-16567-2
eBook Packages: Computer ScienceComputer Science (R0)