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AI and LLM Strategies and Application at Mercari Search

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Overview

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Learn how Mercari, Japan's leading second-hand e-commerce marketplace, transformed their search architecture by integrating AI and Large Language Model technologies in this conference talk from Haystack US 2025. Discover the strategic approach taken to convince internal stakeholders to adopt new technologies while transitioning from traditional Elasticsearch retrieval and DNN Learning to Rank systems. Explore the complete end-to-end search architecture redesign and understand which new components are delivering measurable results in the C2C e-commerce environment. Examine successful LLM applications including offline dataset labeling, query expansion techniques, and language translation capabilities, along with the implementation of image embedding technologies. Gain insights into the business considerations behind technology adoption, including ROI analysis frameworks and practical lessons learned about what works and what doesn't in real-world e-commerce search applications.

Syllabus

Haystack US 2025 - Kaiyi Liu: AI and LLM strategies and application at Mercari Search

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