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A Help Desk Support System Based on Relationship between Inquiries and Responses

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Electronic Business and Marketing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 484))

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Abstract

We propose a help desk support system to extract FAQ (Frequently Asked Questions) automatically, to retrieve FAQ for inquiry e-mails, and to show FAQ in users’ inputting their inquiry e-mail. In the help desk, operators record inquiry e-mails and response e-mails. Between inquiries and response, there are relationship that similar words are often used. First, we propose a classification method of inquiry e-mails for describing FAQ with pairs of inquiries and responses. Second, we propose a detection method of the FAQ matching inquiry e-mail based on Jaccard coefficient between inquiries and responses. Finally, we propose a predictive search method of FAQ by matching an incomplete inquiry to FAQ.

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References

  1. Chasen, http://chasen-legacy.sourceforge.jp/

  2. Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273–297 (1995)

    MATH  Google Scholar 

  3. Foo, S., Hui, S., Leong, P., Liu, S.: Integrated help desk support for customer services over the world wide web - a case study. Computers in Industry 41(2), 129–145 (2000)

    Article  Google Scholar 

  4. Halverson, C., Erickson, T., Ackerman, M.: Behind the help desk: Evolution of a knowledge management system in a large organization. In: ACM Conference on Computer Supported Cooperative Work, pp. 304–313 (2004)

    Google Scholar 

  5. Hammond, K., Burke, R., Martin, C., Lytinen, S.: Faq finder: a case-based approach to knowledge navigation. In: 11th Conference on Artificial Intelligence for Applications, pp. 80–86 (1995)

    Google Scholar 

  6. Hsu, C.H., Guo, S., Chen, R.C., Dai, S.K.: Using domain ontology to implement a frequently asked questions system. In: World Congress on Computer Science and Information Engineering, vol. 4, pp. 714–718 (2009)

    Google Scholar 

  7. Iida, K., Negoro, K., Oiso, H., Akiyoshi, M.: Sequential classification method for open-ended questionnaire data based on category classification sample. In: IADIS International Conference Applied Computing 2009, pp. 157–164 (2009)

    Google Scholar 

  8. Itakura, K., Kenmotsu, M., Oka, H., Akiyoshi, M.: An identification method of inquiry e-mails to the matching faq for automatic question answering. In: International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2010), pp. 213–219 (2010)

    Google Scholar 

  9. Iwai, K., Iida, K., Akiyoshi, M., Komoda, N.: A classification method of inquiry e-mails for describing faq with self-configured class dictionary. In: International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2010), pp. 35–43 (2010)

    Google Scholar 

  10. Iwai, K., Iida, K., Akiyoshi, M., Komoda, N.: A help desk support system with filtering and reusing e-mails. In: 8th IEEE International Conference on Industrial Informatics (INDIN 2010), pp. 321–325 (2010)

    Google Scholar 

  11. Kang, B., Yoshida, K., Motoda, H., Compton, P.: Help desk system with intelligent interface. Applied Artificial Intelligence 11(7-8), 611–631 (1997)

    Article  Google Scholar 

  12. Kim, H., Seo, J.: Cluster-based faq retrieval using latent term weights. IEEE Intelligent Systems 23(2), 58–65 (2008)

    Article  Google Scholar 

  13. Muller, N.: Expanding the help desk through the world wide web. Information Systems Management 13(3), 37–44 (1996)

    Article  Google Scholar 

  14. Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill (1983)

    Google Scholar 

  15. Salton, G., McGill, M.J.: Implementing agglomerative hierarchical clustering algorithms for use in document retrieval. Information Processing and Management 22, 465–476 (1986)

    Article  Google Scholar 

  16. Sneiders, E.: Automated faq answering with question-specific knowledge representation for web self-service. In: 2nd Conference on Human System Interactions (HSI 2009), pp. 298–305 (2009)

    Google Scholar 

  17. Sullivan, D.: Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales. John Wiley and Sons (2001)

    Google Scholar 

  18. Tsuda, Y., Akiyoshi, M., Samejima, M., Oka, H.: A classification method of inquiry e-mails for describing faq with automatic setting mechanism of judgment threshold values. In: International Conference on Enterprise Information Systems (ICEIS 2012), vol. 3, pp. 199–205 (1998)

    Google Scholar 

  19. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer (1995)

    Google Scholar 

  20. Willett, P.: Recent trends in hierarchic document clustering: A critical review. Information Processing and Management 24(5), 577–597 (1988)

    Article  Google Scholar 

  21. Yang, S.Y.: Developing an ontological faq system with faq processing and ranking techniques for ubiquitous services. In: First IEEE International Conference on Ubi-Media Computing, pp. 541–546 (2008)

    Google Scholar 

  22. Zamir, O., Etzioni, O.: Web document clustering: A feasibility demonstration. In: 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 46–54 (1998)

    Google Scholar 

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Correspondence to Masaki Samejima .

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Samejima, M., Akiyoshi, M., Oka, H. (2013). A Help Desk Support System Based on Relationship between Inquiries and Responses. In: Matsuo, T., Colomo-Palacios, R. (eds) Electronic Business and Marketing. Studies in Computational Intelligence, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37932-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-37932-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37931-4

  • Online ISBN: 978-3-642-37932-1

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