Machine Learned Ranking Algorithms in the Domain of E-commerce and Business on Amazon
Pragya Jha
Department of Mathematics
Faculty Supervisor: Luella Fu
We undertook an extensive data-gathering initiative by developing a web-scraping algorithm form scratch to extract dynamic business and financial attributes from Amazon products. Currently, we are conducting statistical testing while simultaneously crafting a machine-learned ranking algorithm (MLR) designed to optimize product visibility and influence. This allows businesses to concentrate on what truly matters-delivering innovative products-rather than being consumed by the intricacies of customer engagement optimization. Our core motivation is to empower startups and small-to-medium enterprises, who are often overlooked and underrepresented on e-commerce platforms. These businesses possess the potential for success, yet are frequently hindered by a lack of visibility-the very factor that can propel them toward viral growth and sustained success.