AgentG: A user friendly and engaging bot to chat for e-commerce lovers

Authors

  • Srividya Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India
  • B. K. Tripathy Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India
  • Neha Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India
  • Aditi Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India

Keywords:

Deep Neural Network, Keras, Chatbot, NLTK, E-commerce

Abstract

Regular customer assistance chatbots are generally based on dialogues delivered by humans. It faces symbolic issues usually related to data scaling and the privacy of one’s information. In this paper, we coeval AgentG, an intelligent chatbot used for customer assistance. It is built using deep neural network architecture. It clouts huge-scale and free publicly accessible e-commerce data. Different from existing counterparts, AgentG takes a great data advantage from in-pages that contain product descriptions along with user-generated data content from these online eCommerce websites. It results in more efficient from a practical point of view as well as cost-effective while answering questions that are repetitive. This helps in providing the freedom to people who work as customer service in order to answer questions with highly accurate answers. We have demonstrated how AgentG acts as an additional extension to the actual stream web browsers and how it is useful to users in having a better experience who are doing online shopping.

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Author Biographies

Srividya, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India

School of Computer Science and Engineering (SCOPE)

B. K. Tripathy, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India

School of Information Technology and Engineering (SITE)

 

Neha, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India

School of Computer Science and Engineering (SCOPE)

Aditi, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India

 School of Computer Science and Engineering (SCOPE)

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Published

2020-08-30

How to Cite

Srividya V, B. K. Tripathy, Neha Akhtar, & Aditi Katiyar. (2020). AgentG: A user friendly and engaging bot to chat for e-commerce lovers. Computer Reviews Journal, 7, 7-19. Retrieved from https://purkh.com/index.php/tocomp/article/view/813

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Section

Research Articles

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