Book ChapterDOI
AgentG: An Engaging Bot to Chat for E-Commerce Lovers
V. Srividya,B. K. Tripathy,Neha Akhtar,Aditi Katiyar +3 more
- pp 271-282
TLDR
AgentG, an intelligent chatbot used for customer assistance built using the deep neural network architecture takes a great data advantage from in-pages that contain product descriptions along with user-generated data content from these online e-commerce websites.Abstract:
Regular customer assistance chatbots are generally based on dialogues delivered by a human It faces symbolic issues usually related to data scaling and privacy of one’s information In this paper, we present AgentG, an intelligent chatbot used for customer assistance It is built using the deep neural network architecture It clouts huge-scale and free publicly accessible e-commerce data Different from the existing counterparts, AgentG takes a great data advantage from in-pages that contain product descriptions along with user-generated data content from these online e-commerce websites It results in more efficient from a practical point of view as well as cost-effective while answering questions that are repetitive, which helps in providing a 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 shoppingread more
Citations
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Journal ArticleDOI
Customizing Backend Logic Using a Chatbot
TL;DR: In this article , an approach can be developed in which one has to observe and track down a reasonable method of making a rationale that invigorates human discourse to the actual code composed by software engineers and designers.
Book ChapterDOI
An Approach to Medical Diagnosis Using Smart Chatbot
TL;DR: DiagZone as discussed by the authors is an affordable and accessible all-day chatbot for people to check on their health in contrast to the conventional way of higher time investments, since it is free and provides mobility with the capability of being accessible anywhere irrespective of the user's location.
Book ChapterDOI
Chatbot for Mental Health Diagnosis Using NLP and Deep Learning
TL;DR: In this article , a customized chatbot framework is proposed with a blended neural network design, where the dataset used is completely scraped and prepared manually to inculcate the various mental health diseases and the appropriate responses provided by professionals.
References
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Proceedings ArticleDOI
SuperAgent: A Customer Service Chatbot for E-commerce Websites
TL;DR: This paper presents SuperAgent, a customer service chatbot that leverages large-scale and publicly available e-commerce data, which is more practical and cost-effective when answering repetitive questions, freeing up human support staff to answer much higher value questions.
Proceedings ArticleDOI
A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks
TL;DR: An in-depth survey of recent literature, examining over 70 publications related to chatbots published in the last 5 years, found that Deep Neural Networks is a powerful generative-based model to solve the conversational response generation problems.
Journal ArticleDOI
On the theory of bags and lists
TL;DR: The concept of bag complement is redefined suitably and some theorems involving bag operations have beenestablished and many existing and new results have been established based upon this new definition.
Proceedings ArticleDOI
Chatbot Using a Knowledge in Database: Human-to-Machine Conversation Modeling
Bayu Setiaji,Ferry Wahyu Wibowo +1 more
TL;DR: The sentence similarity calculation in this paper using bigram which divides input sentence as two letters of input sentence, the higher score obtained the more similar of reference sentences.
MOOCBuddy: a Chatbot for personalized learning with MOOCs.
TL;DR: MOOCBuddy – a MOOC recommender system as a chatbot for Facebook Messenger, based on user’s social media profile and interests, could be a solution to find the best learning resource.