Intelligent Conversational Bot for Interactive Marketing

Authors

  • A. Pradana Faculty of Computer Science, Universitas Dian Nuswantoro, Jl. Nakula I No. 1-5, 50131, Semarang, Indonesia.
  • O. S. Goh Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • Y. J. Kumar Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.

Keywords:

Artificial Intelligence, Conversational Bot, Interactive Marketing, Machine Learning,

Abstract

Interactivity of corporate website is important as marketing products through it become popular. Moreover, the usage of Artificial Intelligent application is growing. In order to improve it, a conversational bot will be developed. As a part of Artificial Intelligent application, it can respond to users’ question and prolong the conversation with its intelligence. The conversational bot in this research is called as SamBot. It will be developed and integrated into Samsung IoT website as the corporate website. SamBot will have the knowledge of marketing domain. The knowledge base includes Samsung product promotions, product Frequently Asked Question, and general knowledge. In default, this bot will generate random answers if matching knowledge cannot be found. It will be enhanced to overcome this problem by improving its supervised learning capability. Normally, a machine learning is performed to increase the knowledge of a bot. Some functions will be added to filter random answers from whole conversation and store it into a database. With this enhancement, the machine learning will be performed more effectively.

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Published

2018-02-12

How to Cite

Pradana, A., Goh, O. S., & Kumar, Y. J. (2018). Intelligent Conversational Bot for Interactive Marketing. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-7), 1–4. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3586

Issue

Vol. 10 No. 1-7: Innovative and Sustainable Technologies for Societal Wellbeing

Section

Articles

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