|Wed June 24 2020 10:18:54|
eBay Now Uses Price in Best Match Search Algorithm
By: Ina Steiner
eBay now makes assumptions about individual buyer's inclinations around price to determine which listings it shows them when they search its marketplace for products.
"Previously, when users searched for a product on eBay, the Best Match algorithm would show the exact same results, irrespective of the individual needs," Shreya Raval wrote on a blog post on Tuesday. "We introduced the price propensity feature in search ranking to customize the search results based on a user's price preference."
Raval spent nearly 6 years at Microsoft working on its Bing search product and joined eBay in 2014. She's now Lead Product Manager for Search at eBay.
She began her June 23, 2020 post by writing:
"When buyers search on eBay, the default order of results is called Best Match. It's designed to show the most relevant listings and incorporates a variety of quality, demand and market-driven factors, such as item popularity, pricing, shipping, regions, seller details, etc. eBay has significantly invested in efforts to enhance the machine learning algorithms to improve the quality of search results for buyers. The most recent update to Best Match personalizes the search results for each buyer."
She explained that price propensity takes into consideration a user's past purchases at eBay, as well as the inventory they were interested in. "Based on this information, a machine learned model tries to predict user's price propensity for future purchases and uses this to surface search results that are personalized to the user's price preferences."
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