Comparative Analysis of Traditional and Deep Learning Approaches for E-Commerce Product Recommendations: A Study on Amazon Dataset
Advances in Artificial Intelligence and Machine Learning—peer-reviewed, Scopus/SCI
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
Ms. Geetanjali Tyagi
Assistant Professor•Computer Science & Engineering
10 Yrs
Teaching Experience
11 Yrs
Total Experience
Master's
Highest Qualification
6+
Published Works
About & Biography
AI and Deep Learning Researcher with 6+ years of professional experience at NIELIT, contributing to technology-driven projects and academic initiatives. Experienced as a Project Engineer with 3+ years of experience in the FutureSkills Prime Project under MeitY and NASSCOM.
My areas of expertise include Artificial Intelligence, Deep Learning, Recommendation Systems, Transformer Models, Research, Teaching, and Student Mentoring. I am passionate about integrating research and teaching to develop practical, innovative, and impactful solutions in emerging technology domains.
Education & Qualifications
Masters2015
M.Tech
Computer Science & Engineering
SRM INSTITUTE OF SCIENCE & TECHNOLOGY
Masters2011
M.Sc.
Computer Science
MDU UNIVERSITY ROHTAK
Bachelors
B.Sc.
MDU UNIVERSITY ROHTAK
Diploma2011
Diploma in Engineering
Computer Science & Engineering
NIIT
Research Specialization & Focus Areas
- Artificial Intelligence
- Deep Learning
- Machine Learning
- Natural Language Processing
- Digital Marketing
Scholarly Publications
6 publications
2026
A Systematic Review on Explainable Transformers and the Evolution of E-commerce Recommendation Systems
Advances in Artificial Intelligence and Machine Learning—peer-reviewed, Scopus/SCI
Artificial Intelligence-Driven Circular Economy Models: Transforming Resource Management and Sustainability
Springer—Book Chapter
2025
Context-Aware Recommender System with Dynamic Personalization
Springer—Conference proceeding
2023
A comparative review of convolutional neural networks, long short-term memory, and recurrent neural networks in recommendation systems
springer—Conference proceeding
Improving Accuracy of Recommendation Systems with Deep Learning Models
Springer—peer-reviewed, Scopus/SCI
Honors, Awards & Recognitions
Best Trainer Award
2023NIELIT DELHI GOVT OF INDIA under MEITY (Inderlok Branch)
Teacher Day Award
2022NIELIT DELHI GOVT OF INDIA under MEITY (Inderlok Branch)