Eye Frame Recommender System using Convolutional Neural Networks

Eye Frame Recommender System using Convolutional Neural Networks

Mr.Dhruv Sachdeva, Mr.Abhyudaya Bhardwaj

∗Maharaja Agrasen Institute of Technology

Abstract—In the dynamic field of retail analytics, this project represents a groundbreaking foray into online eyewear shopping. At its core, it aims to create a sophisticated Image Recommender System powered by Convolutional Neural Networks (CNNs). This innovation is driven by a growing demand for intuitive and visually-driven product searches, challenging traditional text- based search methods. The project recognizes the evolving con- sumer preference for immersive and visually engaging shopping experiences, prompting a shift away from conventional search paradigms. The Image Recommender System, therefore, becomes a pivotal solution, breaking free from the limitations of text- based searches and aligning with the modern shopper’s incli- nation towards visual stimuli. It’s a strategic response to make eyewear discovery more intuitive and personalized, ushering in a transformative era in online shopping.

Index Terms—Visual Search, Retail Analytics,CNN.