Towards a Redundant Response Avoidance for Intelligent Chatbot
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Smartphones are one of the most widely used mobile devices allowing users to communicate with each other. With the development of mobile apps, many companies now provide various services for their customers bystudying interactive systems in the form of mobile messengers for business marketing and commercialpromotion. Such interactive systems are called “chatbots.” In this paper, we propose a method of avoiding theredundant responses of chatbots, according to the utterances entered by the user. In addition, the redundantpatterns of chatbot responses are classified into three categories for the first time. In order to verify the proposedmethod, a chatbot is implemented using Telegram, an open source messenger. By comparing the proposedmethod with an existent method for each pattern, it is confirmed that the proposed method significantlyimproves the redundancy avoidance rate. Furthermore, response performance and variation analysis of theproposed method are investigated in our experiment
Abstract
Smartphones are one of the most widely used mobile devices allowing users to communicate with each other. With the development of mobile apps, many companies now provide various services for their customers bystudying interactive systems in the form of mobile messengers for business marketing and commercialpromotion. Such interactive systems are called “chatbots.” In this paper, we propose a method of avoiding theredundant responses of chatbots, according to the utterances entered by the user. In addition, the redundantpatterns of chatbot responses are classified into three categories for the first time. In order to verify the proposedmethod, a chatbot is implemented using Telegram, an open source messenger. By comparing the proposedmethod with an existent method for each pattern, it is confirmed that the proposed method significantlyimproves the redundancy avoidance rate. Furthermore, response performance and variation analysis of theproposed method are investigated in our experiment
참고문헌 (25)
- P. K. Sharma, "Li-Fi based on security cloud framework for future IT environment", Human-centric Computing and Information Sciences, 8 (2018)[DOI]
- Shaowei Chu, "Designing a Vibrotactile Reading System for Mobile Phones", JIPS(Journal of Information Processing Systems), 14(5), pp.1102~1113 (2018), 한국정보처리학회
- J. Kang, "Mobile payment in Fintech environment : trends, security challenges, and services", Human-centric Computing and Information Sciences, 8 (2018)[DOI]
- 이성훈, "Feature Subset for Improving Accuracy of Keystroke Dynamics on Mobile Environment", JIPS(Journal of Information Processing Systems), 14(2), pp.523~538 (2018), 한국정보처리학회[DOI]
- A. Shevat, "Creating Conversational Experiences" (2017), O’Reilly Media Inc
- S. S. Jeong, "Improving response capability of chatbot using twitter", Journal of Ambient Intelligence and Humanized Computing (2019)[DOI]
- A. Zhou, "Business of Bots: How to Grow Your Company Through Conversation" (2017), Topbots Inc.
- M. McTear, "The Conversational Interface: Talking to Smart Devices" (2016), Springer
- "Windows Live Messenger" (2012)[URL]
- "Zuckerberg’s Facebook messenger launches ‘chat bots’ platform" (2016)[URL]
- S. Mirri, "Collaborative design of software applications : the role of users", Human-centric Computing and Information Sciences, 8 (2018)[DOI]
- J. Weizenbaum, "ELIZA : a computer program for the study of natural language communication between man and machine", Communications of the ACM, 9(1), pp.36~45 (1966)
- "Computer therapist"[URL]
- L. S. Levin, "The ALICE system : a workbench for learning and using language", CALICO Journal, 9(1), pp.27~56 (1991)
- R. S. Wallace, "Parsing the Turing Test. Dordrecht", pp.181~210 (2009), Springer
- "The Mechanics of Human Conversation"[URL]
- "Conversations with My Computer"[URL]
- "Telegram Custom Themes"[URL]
- "Telegram"[URL]
- "Telegram Bot APIs"[URL]
- Y. S. Seo, "On the value of outlier elimination on software effort estimation research", Empirical Software Engineering, 18(4), pp.659~698 (2013)
- Y. Jang, "Fake news analysis modeling using quote retweet", Electronics, 8(12) (2019)[DOI]
- Y. S. Seo, "GUI-based software modularization through module clustering in edge computing based IoT environments", Journal of Ambient Intelligence and Humanized Computing (2019)[DOI]
- B. Yin, "An industrial dynamic skyline based similarity joins for multi-dimensional big data applications", IEEE Transactions on Industrial Informatics, 16(4), pp.2520~2532 (2019)
- S. Ahmed, "Detection and classification of social media-based extremist affiliations using sentiment analysis techniques", Human-centric Computing and Information Sciences, 9 (2019)[DOI]