Ashutosh Dixit

Papers

Total Citations

H-Index

About

Ashutosh Dixit is a researcher whose work lies at the intersection of data mining and e-commerce, with a particular focus on enhancing customer experience through intelligent data classification. His most cited paper, "E-Commerce product comparison portal for classification of customer data based on data mining" (2021), has garnered 12 citations, reflecting its practical relevance in the rapidly evolving field of online retail analytics. In this work, Dixit developed a framework that leverages data mining techniques to classify customer behavior and preferences, enabling more effective product comparison and personalized recommendations. This contribution is particularly valuable for e-commerce platforms seeking to improve user engagement and decision-making. While his citation count is modest, the specificity of his research addresses a critical gap in how customer data can be systematically analyzed to drive business insights. Dixit’s work demonstrates a clear application of computational methods to real-world problems, making it a useful reference for students and researchers exploring the intersection of data science and digital commerce. His focus on classification algorithms and user-centric design positions him as a thoughtful contributor to the ongoing dialogue on data-driven retail innovation.