Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2022
Supervisor
Dr. Sajjad Haider, Professor, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Keywords
Chatbot, Ecommerce, Pattern matching, Machine learning, Natural dialog interfaces, Natural language processing, Deep Learning
Abstract
Chatbots are a technological leap in conversational services, generating messages to users either following a set of rules to respond based on recognized patterns or training themselves from previous data or conversations. The primary goal is to enable a device to communicate with a user upon receiving natural language user requests using artificial intelligence and machine learning to generate automated responses. Technology is progressively catering to the questions, both in academic and business contexts, such as situations that require agents to investigate the cause of customer dissatisfaction or to recommend products and services. The main objective of this work is to (a) study the existing literature on cutting-edge technologies in chatbot development in terms of research trends, legacy components, techniques, datasets, and domains specifically in e-commerce and (b) to develop a product that fill some of the gaps/missing functionality identified in current frameworks.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Zafar, Maria. "E-Commerce AI Conversation Agent Ecom-Bot." Unpublished graduate research project. Institute of Business Administration. 2022. https://ir.iba.edu.pk/research-projects-mscs/6
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