Abstract
We address a predictive search of FAQ corresponding to a user’s incomplete inquiry that a user is inputting with important words defined in each FAQ. The important words co-occur in a user’s inquiries and the rates of the co-occurrences depend on which FAQ the user’s inquiry corresponds to. The co-occurrence rates of important words in inquiries are estimated from a statistical model of important words co-occurrence generated with past inquiries and FAQ corresponding to them. When the highest co-occurrence rate of them is larger than a threshold set on each FAQ, the inquiry is regarded as a corresponding FAQ. Experimental results show that the proposed method can improve the recall rate by 40% for short inquiries and the precision rate by 27% for long inquiries.
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References
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)
Sheng-Yuan, Y.: Developing an Ontological FAQ System with FAQ Processing and Ranking Techniques for Ubiquitous Services. In: Proc. of First IEEE International Conference on Ubi-Media Computing, pp. 541–546 (2008)
Markov, Z., Larose, D.T.: Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage. John Wiley & Sons (2007)
Iwai, K., Iida, K., Akiyoshi, M., Komoda, N.: A Classification Method of Inquiry E-mails for Describing FAQ with Self-configured Class Dictionary. In: Proc. of Int. Symposium on Distributed Computing and Artificial Intelligence 2010, DCAI 2010, pp. 35–43 (2010)
Itakura, K., Kenmotsu, M., Oka, H., Akiyoshi, M.: An Identification Method of Inquiry E-mails to the Matching FAQ for Automatic Question Answering. In: Proc. of Int. Symposium on Distributed Computing and Artificial Intelligence 2010, DCAI 2010, pp. 213–219 (2010)
Yang, J., Cai, R., Jing, F., Wang, S., Zhang, L., Ma, W.: Search-based query suggestion. In: Proc. of the 17th ACM Conference on Information and Knowledge Management (CIKM 2008), pp. 1439–1440 (2008)
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© 2012 Springer-Verlag Berlin Heidelberg
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Samejima, M., Saito, Y., Akiyoshi, M., Oka, H. (2012). A Predictive Search Method of FAQ Corresponding to a User’s Incomplete Inquiry by Statistical Model of Important Words Co-occurrence. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_2
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DOI: https://doi.org/10.1007/978-3-642-28765-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28764-0
Online ISBN: 978-3-642-28765-7
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