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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46475
Volume:
9 |
4 |
Apr 2025
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 today’s digital era, e-commerce has transformed the way consumers shop, offering a vast range of products across multiple platforms Although online shopping offers convenience, the variation in product prices and listings across platforms can cause confusion and inefficiencies for consumers trying to find the best deals. This work introduces an advanced e-commerce price comparison platform that leverages web scraping technologies to collect real-time product and pricing information from a variety of leading online marketplaces. By consolidating and interpreting this data, the system empowers users to make better-informed purchasing choices. Moreover, the solution integrates a recommendation engine that analyses users’ search behaviours and browsing patterns to deliver personalized product suggestions. Through the fusion of dynamic price comparison and intelligent recommendations, the platform seeks to simplify the online shopping journey, helping users efficiently locate affordable and relevant products.
KEYWORDS
Publication Date
4/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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