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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27741

Eye Frame Recommender System using Convolutional Neural Networks

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM27741

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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MS

Mr.Dhruv Sachdeva

MB

Mr.Abhyudaya Bhardwaj

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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.

KEYWORDS

Visual Search Retail Analytics CNN.

Cite This Article

Mr.Dhruv Sachdeva, Mr.Abhyudaya Bhardwaj, "Eye Frame Recommender System using Convolutional Neural Networks," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27741

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Publication Date

12/24/2023

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Review Rounds: 2

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