Amazon.com is looking for a Research Scientist, Social Shopping Technology and Machine Learning in Seattle, WA. The post states, “Amazon needs a seasoned research scientist to join customer reviews development team in Seattle, WA. We own Amazon’s famous Customer Reviews – one of the world’s largest community driven products. User contributed reviews are a tremendously visible aspect of Amazon’s brand and a key competitive advantage. Millions of shoppers use customer reviews every day to make buying decisions through our global websites and mobile apps. This translates to a direct impact to Amazon’s core business and customer experience… You’re a scientist looking for a career where you’ll be able to lead, to deliver, and to influence. Read more
Posts Tagged ‘Amazon’
Look, up in the sky! It’s a bird, it’s a plane, no – it’s an Amazon drone!
Admittedly, Amazon Prime Air’s unmanned aerial vehicles in commercial use are still a little ways off. But such technology – along with other recent innovations, such as the use of unmanned aircraft in crop-dusting or even Department of Homeland Security border applications, or future capabilities to extend the notion of auto-piloting in passenger airplanes using autonomous machine logic to control airspace and spacing between planes –needs to be accounted for in terms of its impact on the air space. The Next-Generation Air Transportation System is taking on the change in the management and operation of the national air transportation system.
And semantic technology, natural language processing, and machine learning, too, will have a hand in helping out, by fostering collaboration among the agencies that will be working together to develop the system, including the Federal Aviation Administration, the U.S. Air Force, U.S. Navy, and the National Aeronautics and Space Administration, under the coordination of the Joint Planning and Development Office. These agencies will need to leverage each other’s knowledge and research, as well as ensure – as necessary – data privacy.
A9.com is looking for a Senior Software Engineer – Search Relevance in Palo Alto, CA. The post states, “A9.com, headquartered in Palo Alto, CA, is the search technology subsidiary of Amazon.com. We value all the positive traits of a successful startup — creativity, a fast pace, high energy, and a fun environment where everybody and their work is important. These traits, combined with the history of success and the resources of Amazon.com, are a winning combination for the team and for our customers. Our Search Relevance team is looking for strong and talented engineers who can make a difference in the quality of Amazon’s product search. As part of A9′s Relevance team, you’ll participate in all parts of the R&D process, from experimenting with new ideas and exploring new techniques to implementing features used by millions of Amazon.com customers every day.” Read more
Amazon.com is looking for a Principal Data Engineer in Seattle, WA. The post states, “Are you a data analysis ninja? can you seamlessly transition between OLAP/Relational, Graph/RDF and Hive/EMR without breaking a sweat? want to dive deep into the world’s largest financial/contract transaction system and help formalize our ability to make it automatically actionable for our mission critical LOB systems? This is a new effort within Vendor Systems that requires the ability to work independently and efficiently and come up with solutions that are sustainable and efficient and directly impact Amazon’s bottom line, if you want to leave a mark on the future of Amazon, this is your chance.” Read more
Cast your vote yet for The Booksmash Challenge? If not, you’ve got a chance to pull the lever for semantic technology for the contest, which is sponsored by HarperCollins and asks developers to create proof-of-concept apps using its OpenBook API that includes full access to select authors’ work.
Entered in the challenge is the KEeReader, a browser-based e-reading platform that brings the ability to identify concepts, entities and relationships within content and allow users to interact with it. Its chief architect is Eric Freese, who gave audiences at this past spring’s SemTech conference in San Francisco a first look at the platform, and who will be providing attendees at the upcoming Semantic Technology & Business Conference in NYC the latest insights on its place in the evolving world of knowledge enhanced e-reading. KEeReader adds a semantic angle to its book discovery one, opening the door to a vastly richer experience, says Freese.
“The two main goals of this are first to bring e-books into being first- class citizens on the web,” he says, benefitting from search engine optimization techniques for discovery, subscription to open Web standards to leverage the world of web resources like Wiktionary, and even analytics about book use for publishers to use in their business strategies. “The second goal is to unlock knowledge contained within the book.”
Nuance’s Voice Is Heard: Its Tech Featured In Samsung Galaxy Gear SmartWatch And Surfi AI Answer Engine
Nuance Communications is high-profile this week. The company has announced that Samsung’s new Galaxy Gear wearable smart watch and Galaxy Note 3 tablet will integrate its voice and language capabilities. Additionally, word comes from SpeechTrans that its new natural language processing application for Windows 8 and Windows RT, which – like Apple’s Siri – leverages Nuance’s speech recognition smarts, has been released.
Nara, the service that to date has leveraged its neural networking technology to automate, personalize and curate web dining experiences for users, is making good on its previously-stated intentions to help users find and take action across various consumer lifestyle categories. (See our original story on the company here.)
The company today is adding personalized hotel recommendations to its portfolio. Consumers now will be able to find hotels conforming to their’ “Digital DNA” – the sum of what its technology learns of what they do and don’t like – in 50 high-volume cities in the U.S. and Canada. It’s entered into a non-exclusive partnership with Expedia to take care of booking on the back-end and TripAdvisor for its reviews, with both capabilities available to users without their having to leave the Nara site. The company expects to add additional locations in North America in the future, as it did for its restaurant recommendations.
Yosi Glick, co-Founder and CEO of semantic taste engine Jinni, recently wrote a post about the technology and engineering Emmy award that is to be given to Amazon’s Instant Video for its personalized recommendation algorithms.
The basis for awarding the honor, he writes, lies with Amazon’s early item-to-item collaborative filtering (CF) algorithms that analyze consumer data to find statistical connections between items and then uses that as the basis for recommendations. But, says Glick, the company may be soon heading toward a fundamentally different approach.
“Amazon,” Glick explains, “is using the Emmy award to flaunt its latest Video Finder service, that seems to leave CF behind and embrace a new semantic approach to recommendation.”
Amazon is embracing semantics for its video content because it realizes that video is different than regular consumer items. TV and movies are “entertainment that is consumed based on personal tastes and our particular mood at the moment. The types of content each of us enjoy is not based on what ‘other people have also watched’, rather it has to do with the plots, moods, style and pace,” he writes. “So content has to be described and discovered the same way we choose and experience it.”
Categories in Amazon’s Video Finder service include classifications that describe the mood, plot, style and pace of titles — meaningful classifications that Glick says are the basis for semantic discovery. You can read the entire piece here.
When it comes to selling in online marketplaces, it’s all too often a race to the bottom. There are plenty of rules-based tools out there to help sellers on Amazon or eBay beat competitors’ lowest prices by the proverbial penny, but winning the deal in that way sacrifices flexibility and profits.
That’s Feedvisor’s take on the topic, and it’s why the company recently came out with a machine-learning based approach to setting prices for Amazon Marketplace sellers. It says it’s the only re-pricing solution on Amazon to leverage the technology in Version 2 of its Algo-Pricing software, which aims at helping sellers win buyers without necessarily driving them into pricing wars.
“We came up with the idea of looking at artificial intelligence because we realized that trends — such as a specific item becoming popular very quickly or sellers running out of stock — play a very, very important role in predicting upcoming price changes,” says Feedvisor director of marketing Shmuli Goldberg. “The market itself is constantly changing. Just looking at a snapshot of what is going on right now is extremely useful, and it’s what we’ve been doing until now. But if you have just a bit of historical context and the ability to predict upcoming trends, you can do things that other re-pricing software hasn’t thought of, like raising the price of a product you see is just about to become popular.”
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