Browse > Article

A Development of Chatbot Q&A System to Answer Questions in Webpage - Focused on arts education matching services -  

Kim, Jae Min (Department of advanced imaging science and arts, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University)
Lee, Hye Moon (Department of advanced imaging science and arts, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University)
Kim, Myoung Young (Department of advanced imaging science and arts, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University)
Lee, Won Hyung (Department of advanced imaging science and arts, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University)
Yi, Dae Youmg (Department of performing arts, Graduate School of Performing Arts, Chung-Ang University)
Publication Information
Journal of the Korean Society for Computer Game / v.31, no.4, 2018 , pp. 157-166 More about this Journal
Abstract
Communication between customers and service providers is an important issue at sites where various businesses and transactions take place. In particular, the ability to solve problems quickly and accurately when a problem arises and when an inquiry is received is directly linked to trust in the site. In this paper, we propose a method of handling complaints and inquiries of site users by using chatbot technology on talent market platform site. First, we implemented chatbot that can communicate with the inquirers in real time, so that users can use the site usage and word search functions. For various errors and problems of the site which can not be defined by a few words or sentences, I have specified an error code and database it. Users of the site were able to contact chatbot with the error code that was output when an error occurred and get the corresponding response in real time. The chatbot implemented in this study provided a satisfactory experience because that was able to provide quick and accurate answers to users who experienced errors or inquiries when using the site. This will have a positive impact on the credibility and favorability of the site over the long term, and will help reduce manpower and time costs for error inquiries.
Keywords
Chatbot; Database; Talent market; Error code; Q&A system; Messenger;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 "The Complete Beginner's Guide To Chatbots",https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca
2 Jong Pil Hong, "A Conceptual Model for Evaluating Criteria of Web Sites as a PR Tools in Building and Maintaining Organizational-Public Relationship.", Journal of Public Relations Research 10.1, pp.262-317, 2006.
3 Hee Ju Kang, Seung In Kim, "Evaluation on the Usability of Chatbot Intelligent Messenger Mobile Services - Focusing on Google(Allo) and Facebook(M messenger)." Journal of the Korea Convergence Society 8.9 pp.271-276, 2017.   DOI
4 Shawar, Bayan Abu; ATWELL, Erci., "Different measurements metrics to evaluate a chatbot system", ACM, pp.89-96, 2007.
5 Bo Ram Lee, Jae Kyung Cho, "The Effect of Consumer's Experiential Value on the Attractiveness of Talent Market Platform", Journal of The Korean Society Design Culture 24.1, pp.469-479, 2018.
6 Ju Won An, et al, "Talent market system through the WEB RTC", Proceedings of the Korean Information Science Society, pp.2089-2090, 2015.
7 Gers, Felix A., Jurgen Schmidhuber, and Fred Cummins, "Learning to forget: Continual prediction with LSTM.", 1999.
8 Mikolov, Tomas, et al, "Efficient estimation of word representations in vector space", arXiv preprint arXiv:1301.3781, 2013.
9 Cho, Kyunghyun, et al, "Learning phrase representations using RNN encoder-decoder for statistical machine translation", arXiv preprint arXiv:1406.1078, 2014.
10 Denny Britz, "Deep Learning for Chatbot", https://www.wildml.com/2016/04/deep-learning-for-chatbots=part-1-introduction, 2016.