Browsing by Author "Asma Jamil"

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    Recommender System for E-Commerce Trading
    (Library Information Services, CUI Lahore, 2022) Asma Jamil; SP18-BCS-177; Dr. Atifa Ather
    We aim to develop a Recommender System (Chatbot) for E-Commerce Trading that can index product name from description to aid relevant product search by using Natural Language Processing (NLP) and Artificial Intelligence (AI) techniques. Recommender System is an intelligent chatbot that provides recommendations to a user. The suggestions provided are aimed at supporting their users in the decision-making process such as using the online platforms what items to buy or sell