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EcommerceBytes-NewsFlash, Number 2637 - September 23, 2011 - ISSN 1539-5065    2 of 4

Google Adds Visual Shopping Technology to Product Search

By Ina Steiner
EcommerceBytes.com
September 23, 2011




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Google is adding new features to its Product Search shopping engine that is based on technology developed by Like.com, which was founded Munjal Shah - the founder of eBay tools provider Andale.com a decade ago. Shah sold Like.com to Google last year.

Google will add features from Like.com's Boutiques fashion website, which it said would be the first in a series of improvements to Google Product Search that leverages computer vision and machine learning technology.

Google redesigned the Shopping homepage, whose look and feel is designed to "inspire and facilitate easy, enjoyable browsing and shopping." Shoppers can browse dress collections based on matching color, silhouette and genre with technology based on machine learning and computer vision.

Google explains, "Let's say a particular dress catches your eye. Now, you can explore similar styles and discover new designers by clicking on that dress and viewing dozens of visually similar ones. We think you'll find this fun - and addictive! - and we hope it brings that element of surprise and discovery we all love with brick-and-mortar shopping to the online shopping experience."

Shoppers on Boutiques.com will be directed to Google Product Search, and Google warned users to save their data before the October 14th transition.

About the author:

Ina Steiner is co-founder and Editor of EcommerceBytes and has been reporting on ecommerce since 1999. She's a widely cited authority on marketplace selling and is author of "Turn eBay Data Into Dollars" (McGraw-Hill 2006). Her blog was featured in the book, "Blogging Heroes" (Wiley 2008). Follow her on Twitter at @ecommercebytes and send news tips to ina@ecommercebytes.com.

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