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  1. en.wikipedia.org › wiki › A9A9.com - Wikipedia

    A9.com was a former subsidiary of Amazon that developed search engine and search advertising technology. A9 was based in Palo Alto, California, with teams in Seattle, Bangalore, Beijing, Dublin, Iași, Munich and Tokyo. A9 has development efforts in areas of product search, cloud search, visual search, augmented reality, advertising technology ...

  2. www.linkedin.com › company › a9-comA9.com | LinkedIn

    A9.com | 16,868 followers on LinkedIn. A9.com, an Amazon company, solves some of the biggest challenges in search and advertising. We focus on helping people find the things they want.

  3. www.glassdoor.com › Overview › Working-at-A9-com-EIWorking at A9.com | Glassdoor

    A9.com, an Amazon company, solves some of the biggest challenges in search and advertising. We focus on helping people find the things they want. Our technologies power all of the search platforms on Amazon.com, from the search engine to the visual search technology behind ...

  4. Aug 14, 2018 · What Is Amazon’s A9 Algorithm? A9 is Amazon’s organic product ranking algorithm that is composed of direct and indirect factors used to match users’ search queries to products they are most ...

  5. A9.Com, Inc. operates as an e-commerce technology company. The Company offers product search services, advertising technology services, and visual search services. A9.com provides services...

  6. The only technical requirement to use TAM is active integration with the multi-slot header bidding tag of Amazon Publisher Services (APS). Publishers also need a contractual relationship with all demand partners they want to tap into. I hear server-side bidding is less transparent. How do I know you’re not giving unfair advantage to Amazon ...

  7. Sep 14, 2004 · A9.com Launches New Web Site to Make Internet Search More Effective; A9.com: A Search engine with a memory. PALO ALTO, Calif., Sep 15, 2004 -- A9.com, Inc., a subsidiary of Amazon.com, Inc. (Nasdaq:AMZN), today launched A9.com (www.a9.com) to make searching the Internet more effective.