Amazon Search: The Joy of Ranking Products: Amazon is one of the world’s largest e-commerce sites and Amazon Search powers the majority of Amazon’s sales. As a consequence, even small improvements in relevance ranking both positively influence the shopping experience of millions of customers and significantly impact revenue. In the past, Amazon’s product search engine consisted of several hand-tuned ranking functions using a handful of input features. A lot has changed since then. In this talk we are going to cover a number of relevance algorithms used in Amazon Search today. We will describe a general machine learning framework used for ranking within categories, blending separate rankings in All Product Search, techniques used for matching queries and products, and algorithms targeted at unique tasks of specific categories — books and fashion.
Session Summary
Amazon Search: The Joy of Ranking Products
MLconf 2016 San Francisco
Daria Sorokina
Amazon Search
machine learning scientist
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