Recommender System for E-Commerce Trading
| dc.contributor.author | Asma Jamil | |
| dc.contributor.author | SP18-BCS-177 | |
| dc.contributor.author | Dr. Atifa Ather | |
| dc.date.accessioned | 2026-02-27T06:22:04Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | 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 | |
| dc.identifier.uri | https://repository.cuilahore.edu.pk/handle/123456789/2500 | |
| dc.language.iso | en_US | |
| dc.publisher | Library Information Services, CUI Lahore | |
| dc.subject | Recommender System for E-Commerce Trading | |
| dc.title | Recommender System for E-Commerce Trading | |
| dc.type | Thesis |