Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Toronto Machine Learning Series (TMLS) via YouTube
Overview
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Explore the challenges and solutions in e-commerce product discovery through this 12-minute conference talk from the Toronto Machine Learning Series. Jing He, Cofounder and CTO of AeAdeptmind Inc., delves into the complexities of helping customers find products in overwhelming and often poorly organized online catalogs. Learn how AdeptMind leverages natural language processing, image recognition algorithms, and knowledge graphs to extract relevant product aspects and streamline the discovery process. Gain insights into the major obstacles faced in this field, innovative approaches explored, and valuable lessons learned along the way.
Syllabus
Finding a Needle in a Haystack: Machine Learning for E-commerce Product Discovery
Taught by
Toronto Machine Learning Series (TMLS)