Flipkart
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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A Study on the Impact of Seasonal Sales on E-Commerce Trends in India: Insights from Amazon and Flipkart
Abstract: This study investigates the growing impact of seasonal sales on e-commerce trends in India, with a particular emphasis on two leading platforms, Amazon and Flipkart. Large-scale events such as the Great Indian Festival and the Big Billion Days have become defining moments in the country’s online retail calendar, creating noticeable shifts in consumer purchasing behavior, sales volumes, and digital marketing approaches. The research examines how heavy discounts, limited-time offers, and …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article