E Commerce Platform
E-commerce platforms aim to optimize the customer experience and platform profitability through advanced technologies. Current research heavily focuses on improving search and recommendation systems using techniques like transformer-based models and ensemble methods to personalize results, combat fake reviews, and enhance product discovery. These efforts leverage natural language processing, machine learning, and graph-based approaches to address challenges like dark patterns, data sparsity, and efficient advertising strategies. The resulting improvements in customer engagement, revenue generation, and platform safety have significant implications for both the scientific community and the broader e-commerce industry.
Papers
October 8, 2024
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December 16, 2021