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Dan Fain, Vice President of Search Technology at eBay Inc., joins me for today’s podcast to discuss eBay’s proprietary search technology, which they use to help both sellers and users in search results. More specifically, our discussion touched on how eBay’s evolving machine learning search technology helps users find the listings they are looking for.
Dan describes the parts of each listing eBay’s algorithm searches to contextually find the best listings for users’ searches, as well as recommending additional listings they may be interested in.
In this episode of Marketing Nerds, we cover:
- Whether or not eBay search utilizes users’ prior search behavior to influence search results
- The top areas in a product listing that are crawled first
- Why search is so important to eBay
- What eBay is looking forward to in the future of their search technology
- How eBay is treating mobile search
To listen to Marketing Nerds with Dan Fain of eBay & Kelsey Jones:
- Download or listen to the full episode at the bottom of this post
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Think you have what it takes to be a Marketing Nerd? If so, message me on Twitter or email at kelsey [at] searchenginejournal.com.
Visit our Marketing Nerds archive to listen to other Marketing Nerds podcasts!
In post photo: aradaphotography / Shutterstock.com
Featured image created by SEJ.
