EBay Uses Machine Learning to Refine Promoted Listings

3 years ago thenewstack.io

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

Online marketplace https://www.ebay.com/ incorporated additional buying signals such as “Add to Watchlist,” “Make Offer,” and “Add to Cart” into its https://thenewstack.io/category/machine-learning/ model to improve the relevance of recommended ad listings, based on the initial items searched for. EBay’s Promoted Listings Standard (PLS) is a paid option for sellers.

The user clicks on a result from their search —> lands on a view item (VI) page for a listed item (eBay refers to this as the seed item).

User clicks on an item from the PLSIMs and either takes action (watch, add to cart, buy it now, etc) or checks out another new set of recommended items

EBay uses a gradient boosted tree, which, for a given seed item, ranks items according to items’ relative purchase probabilities.

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