Product Recommendation System Using AI
Abstract & Details
Research Area
Computer Engineering
Keywords
Recommendation Engine
Deep Learning (TensorFlow/Keras)
Natural Language Processing (NLP) etc.
Abstract
In today's fast-paced and ever-evolving e-commerce landscape, the ability to provide customers with personalized product recommendations is not just a luxury but a necessity. Our project is a dynamic and responsive recommendation system designed to transform the online shopping experience into a seamless and enjoyable journey. Consider the online shopping platforms you visit regularly, where you're bombarded with a multitude of product options. It's easy to become overwhelmed, searching for that perfect item, and often, the shopping process can be time-consuming and frustrating. This is where our project comes into play, redefining how customers discover products.
Imagine a system that not only understands your preferences but also adapts and evolves with every interaction. This is similar to a friendly and knowledgeable in-store sales associate who remembers your preferences and guides you to the products that suit your style and needs. Our system does precisely that, but in the virtual realm. Whether you're exploring a range of products, delving into detailed product information, or moving through the checkout process, our project streamlines every step, making the entire journey more efficient and enjoyable. Just as a trusted friend might recommend products, they know you'll love, our system uses your past interactions and preferences to provide tailored recommendations.
This project brings a personalized touch to the world of online shopping, enhancing the customer experience, and making it more enjoyable and efficient. As you engage with the system, it learns and adapts to your unique tastes, ensuring that you have a more rewarding shopping experience and discover the products that truly resonate with you.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ravishankar Bhaganagare | SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE -[SKNSITS] |
| 2 | ANURADHA JEEVAN SHINDE | SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE -[SKNSITS] |
| 3 | VARSHA YUVRAJ DEVKAR | SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE -[SKNSITS] |
| 4 | NIKITA MANSING PATIL | SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE -[SKNSITS] |
| 5 | VAIBHAVI SATISH BEMBADE | SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE -[SKNSITS] |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Bhaganagare, Ravishankar, SHINDE, ANURADHA JEEVAN, DEVKAR, VARSHA YUVRAJ, PATIL, NIKITA MANSING, & BEMBADE, VAIBHAVI SATISH (2023). Product Recommendation System Using AI. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 46-51.
MLA Style
Bhaganagare, Ravishankar, et al. "Product Recommendation System Using AI." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 46-51.
IEEE Style
Ravishankar Bhaganagare, ANURADHA JEEVAN SHINDE, VARSHA YUVRAJ DEVKAR, NIKITA MANSING PATIL, and VAIBHAVI SATISH BEMBADE, "Product Recommendation System Using AI," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 46-51, 2023.
Vancouver Style
Bhaganagare Ravishankar, SHINDE ANURADHA JEEVAN, DEVKAR VARSHA YUVRAJ, PATIL NIKITA MANSING, BEMBADE VAIBHAVI SATISH. Product Recommendation System Using AI. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):46-51.
Harvard Style
Bhaganagare, Ravishankar, SHINDE, ANURADHA JEEVAN, DEVKAR, VARSHA YUVRAJ, PATIL, NIKITA MANSING, & BEMBADE, VAIBHAVI SATISH (2023) 'Product Recommendation System Using AI', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 46-51.
Chicago Style
Bhaganagare, Ravishankar, et al. "Product Recommendation System Using AI." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 46-51.
Turabian Style
Bhaganagare, Ravishankar, et al. "Product Recommendation System Using AI." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 46-51.
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