Paper Key : IRJ************081
Author: Jaydayal Singh ,Krishan Kumar Tiwari
Date Published: 13 Apr 2024
Abstract
In the rapidly evolving world of fashion, it can be easy to find the perfect outfit that reflects your personal style among the many clothing options available. To overcome this challenge, we introduced Recommended Recommendations (FRS), designed to help users find fashion options based on their taste and style. Our FRS leverages advanced machine learning algorithms and data-driven insights to analyze user interactions, clothing features, and instant fashion trends to create personalized recommendations. Integrating user analysis, collaborative filtering, and content-based filtering, our system provides rich and diverse recommendations to improve user experience. With this project, we aim to simplify the fashion discovery process, enable users to discover new trends, and transform the experience and use of fashion in the digital age.
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