Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27741
Volume:
7 |
12 |
Dec 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
12/24/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...